AR113 Arabic Communication Skills
(3) Credit Hours
AR113 is a three credit hour university requirement. It aims at developing students’ skills in text analysis and literary appreciation. Students are introduced to the principles of accurate pronunciation and sound reading of texts. The course also provides training in Arabic rhetoric and literary genres.
Course Code |
AR113 |
Course Title |
Arabic Communication Skills |
Pre-requisite |
|
Credit Hours |
3 |
Course Description |
AR113 is a three credit hour university requirement. It aims at developing students’ skills in text analysis and literary appreciation. Students are introduced to the principles of accurate pronunciation and sound reading of texts. The course also provides training in Arabic rhetoric and literary genres. |
Course Objectives |
- Presenting new aspects of Arab culture through studying the works of ancient and modern writers. - Developing students’ research skills and methodologies. - Training students to develop reports and write articles effectively. - Enhancing literary expression skills and techniques. - Understanding the cultural and historical context of literary works. - Analyzing the relationship between literature and social and cultural developments. - Developing the ability to present opinions in a logical and specific manner. - Promoting critical interaction with literary texts. - Deepening students’ understanding of the relationship between literature and research and applying this relationship effectively.
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Course Outcomes |
Upon successful completion of AR113, students will be able to: Analyze Literary Texts - Demonstrate the ability to critically analyze and interpret various literary texts.
Appreciate Literary Works - Develop an appreciation for different literary genres and their cultural and historical contexts.
Master Accurate Pronunciation - Apply principles of accurate pronunciation in the oral reading of Arabic texts.
Enhance Reading Skills - Exhibit proficiency in sound reading techniques that improve comprehension and fluency.
Understand Arabic Rhetoric - Explain the principles of Arabic rhetoric and their application in literary analysis.
Recognize Literary Genres - Identify and describe the characteristics of different Arabic literary genres.
Apply Rhetorical Techniques - Utilize rhetorical techniques in both the analysis and creation of Arabic literary texts.
Develop Critical Thinking - Engage in critical thinking and articulate well-reasoned arguments about literary works.
Participate in Literary Discussions - Actively participate in discussions about literature, demonstrating an understanding of various viewpoints and interpretations.
Write Analytical Essays - Compose clear and coherent analytical essays on literary topics, utilizing appropriate terminology and concepts.
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B207-A Shaping Business Opportunities
(8) Credit Hours
B207A is an 8-credit (30 points), Level 5 UK-OU based course offered through the Business Program at the Arab Open University as a compulsory course for all students enrolled in all tracks in the program. Entry into this course is contingent upon the successful completion of BUS110. The B207 module in this new study plan is an OU updated version of its equivalent B203A module.
Course Code |
B207-A |
Course Title |
Shaping Business Opportunities |
Pre-requisite |
- |
Credit Hours |
8 |
Course Description |
B207A is an 8-credit (30 points), Level 5 UK-OU based course offered through the Business Program at the Arab Open University as a compulsory course for all students enrolled in all tracks in the program. Entry into this course is contingent upon the successful completion of BUS110. The B207 module in this new study plan is an OU updated version of its equivalent B203A module. |
Course Objectives |
This module is designed to provide intermediate conceptual and practical learning to students in operations management, marketing and human resource management. The module comprises 16 study weeks (including final assessment).
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Course Outcomes |
A. Knowledge and understanding
At the end of the module, learners will be expected to: - Develop a critical appreciation of the interactions between various business functions (operations management, marketing and human resource management) and the integrative complexity that shapes business innovation.
- Develop a critical understanding of why new products and services are imperative to contemporary business practice. Also to develop knowledge and understanding of external issues affecting the successful running of organizations, including how they compete in a global context.
- Develop knowledge and understanding of the elements required to build long-term success in organizations, and how students can contribute to the fostering of long-term value creation.
- develop knowledge and critical understanding of the theories, concepts and models of different business functions (operations management, marketing and human resource management).
B. Cognitive skills
At the end of the module learners will be expected to: - Select and critically analyse information relevant to a particular problem or issue related to business and management.
- Evaluate and compare competing perspectives, theoretical models and concepts in the context of practical situations
- Gather and synthesise material from a variety of sources in constructing arguments applied to business and management
C. Practical and professional skills
At the end of the module, learners will be expected to: - Communicate in a professional manner in written work, face to face and online. Plan, monitor and review progress as independent learner, including a focus on personal skills development.
- Develop an awareness of ethical issues and professional standards relevant to business and management
D. Key transferable skills
At the end of the module, learners will be expected to: - Search for and use relevant digital and non-digital information from sources other than the module materials.
- Compare critically and use different approaches to issues and problems within business management. Engage in critical reflection.
- Consolidate an understanding of academic language and literacy practices in order to effectively engage with the academic knowledge and skills of Level 5 study.
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B207-B Shaping Business Opportunities
(8) Credit Hours
B207B is an 8-credit (30 points), Level 5 UK-OU based course offered through the Business Program at the Arab Open University as a compulsory course for all students enrolled in all tracks in the program. Entry into this course is contingent upon the successful completion of B207A.
Course Code |
B207-B |
Course Title |
Shaping Business Opportunities |
Pre-requisite |
- |
Credit Hours |
8 |
Course Description |
B207B is an 8-credit (30 points), Level 5 UK-OU based course offered through the Business Program at the Arab Open University as a compulsory course for all students enrolled in all tracks in the program. Entry into this course is contingent upon the successful completion of B207A. |
Course Objectives |
This module is designed to provide intermediate conceptual and practical learning to students in management and accounting. The module comprises 16 study weeks (including final assessment).
|
Course Outcomes |
A. Knowledge and understanding At the end of the module, learners will be expected to: - Develop a critical appreciation of the interactions between various business functions (management and accounting) and the integrative complexity that shapes business innovation.
- Develop knowledge and understanding of the elements required to build long-term success in organizations, and how students can contribute to the fostering of long-term value creation.
- develop knowledge and critical understanding of the theories, concepts and models of different business functions.
B. Cognitive skills At the end of the module learners will be expected to: - Select and critically analyse information relevant to a particular problem or issue related to business and management.
- Evaluate and compare competing perspectives, theoretical models and concepts in the context of practical situations
- Gather and synthesise material from a variety of sources in constructing arguments applied to business and management
C. Practical and professional skills
At the end of the module, learners will be expected to: - Communicate in a professional manner in written work, face to face and online. Plan, monitor and review progress as independent learner, including a focus on personal skills development.
- Develop an awareness of ethical issues and professional standards relevant to business and management
D. Key transferable skills
At the end of the module, learners will be expected to: - Search for and use relevant digital and non-digital information from sources other than the module materials.
- Compare critically and use different approaches to issues and problems within business management. Engage in critical reflection.
- Consolidate an understanding of academic language and literacy practices in order to effectively engage with the academic knowledge and skills of Level 5 study.
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BUS110 Introduction to Business
(8) Credit Hours
"Introduction to Business” is an introductory course, which surveys the role of business in society. At its simplest level, business is the exchange of goods and services for mutual benefit or profit. Students will be exposed to a wide variety of topics including the terms, trends, organizational structure and opportunities inherent in this exchange, the course introduces the student to the contemporary business world, the business of managing, people in organizations, the principles of marketing, managing information, and financial issues.
Course Code |
BUS110 |
Course Title |
Introduction to Business |
Pre-requisite |
- |
Credit Hours |
8 |
Course Description |
"Introduction to Business” is an introductory course, which surveys the role of business in society. At its simplest level, business is the exchange of goods and services for mutual benefit or profit. Students will be exposed to a wide variety of topics including the terms, trends, organizational structure and opportunities inherent in this exchange, the course introduces the student to the contemporary business world, the business of managing, people in organizations, the principles of marketing, managing information, and financial issues. |
Course Objectives |
The primary objective is to give the student an understanding of basic business principles. Global business, entrepreneurship, management, marketing, information technology, and financial management will be discussed. Another purpose of this course is to build a foundation of knowledge on the different theoretical approaches to management and decision making • develop analytical skills to identify the links between the functional areas in management, organisations, management practices and the business environment.
Learning Objectives: Upon completion of the course students will have a firm understanding of the following business topics: - The relationship between business and society in a free market economy
- Common forms of business ownership
- Business ethics and social responsibility
- International business and the global economy
- Fundamentals of business management
- Business organization and structure
- Human resources, motivation and productivity
- Marketing, accounting, finance, operations management and other business specialties
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Course Outcomes |
A. Knowledge and understanding
At the end of the module, learners will be expected to: - Identify business functions
- Recognize different business models and forms
- Acquire knowledge of business ethics and social responsibility
- Be aquatinted with the fundamentals of management.
B. Cognitive skills
At the end of the module learners will be expected to:
- Differentiate between business structures and business forms.
- Examine different models and theories and its effect in business life
- analysing and evaluating different perspectives, identifying biases and hidden assumptions in different models and forms of businesses.
C. Practical and professional skills
At the end of the module, learners will be expected to:
- Analyse different business-related situations and forms.
- Deduce problems and solutions and its pathways
D. Key transferable skills
At the end of the module, learners will be expected to:
- Read financial and business related reports
- Communicate knowledge and understanding of business issues to different stakeholders.
- Analyse situations in an academic manner.
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BUS310 Strategic Management
(8) Credit Hours
Strategic Management: This module examines concepts and the different approaches to - and techniques of - strategic management including analysis of the external and internal environments, the nature of competitive advantage, development of the organization and how they make strategic choices as to where and how to position themselves in relation to their customers and competitors.
The module has been designed to encourage and develop greater critical analytical skills especially at level 3. Significant amount of ‘case study’ work have been embedded to develop the students’ analytical and problem solving skills.
Course Code |
BUS310 |
Course Title |
Strategic Management |
Pre-requisite |
- |
Credit Hours |
8 |
Course Description |
Strategic Management: This module examines concepts and the different approaches to - and techniques of - strategic management including analysis of the external and internal environments, the nature of competitive advantage, development of the organization and how they make strategic choices as to where and how to position themselves in relation to their customers and competitors.
The module has been designed to encourage and develop greater critical analytical skills especially at level 3. Significant amount of ‘case study’ work have been embedded to develop the students’ analytical and problem solving skills.
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Course Objectives |
- Provide students with concepts and tangible strategic skills that can readily be put into practice in often changing business environments.
- Present the 21st century competitive/business landscape from a strategic management perspective and to assess how global and technological influences shape it
- Provide students with a critical overview of the main tools of contemporary strategic practice in organizations in a way which is relevant to their professional needs
- Achieving the intended learning outcomes (covering both knowledge and skills) fully supports this aim.
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Course Outcomes |
A. Knowledge and understanding
At the end of the module, learners will be expected to: develop and demonstrate the following Knowledge and understanding:
- The structure and dynamics of business environments; how businesses seek to track and analyse their environments;
- Markets, market economies and how they function; how consumers, firms and governments behave as economic agents; why and how markets fail and how this failure is managed;
- Business processes and how they operate; the nature, structure and functioning of organisations; how and why organisations are changing;
- Key business functions such as Marketing, Human Resources, Information Management, Accounting & Finance, Operations – their nature and contribution to organisational success, their historic origins and their interactions;
- How businesses develop strategies; the different forms and theories of strategy;
- How organisations make decisions and organise decision-making processes; the various sources of decision-making irrationality; the nature, role and implications of governmental, regional and supranational business policy on businesses;
- How to apply key ideas in mathematics, including some statistics, and algebra.
B. Cognitive skills
At the end of the module learners will be expected to: - Read material questioningly, identifying and recording key ideas and concepts in business studies;
- Synthesise material from a variety of sources, analysing and evaluating different perspectives, identifying biases and hidden assumptions;
- Classify, recognise and organise material in distinct and relevant categories;
- Construct, defend and evaluate an argument, using relevant evidence, giving reasons for conclusions.
C. Practical and professional skills
At the end of the module, learners will be expected to: - Transfer and use relevant key skills in the workplace context;
- Use the more specific knowledge, analytic skills and methods, rooted in the different disciplines as a strong basis for work in many professions; Students will have become better informed, more active and questioning members of an organisation by:
- The ability to engage critically with the underlying challenges and problems facing a business;
- The ability to identify and evaluate conflicting arguments, including recognising the significance of different value positions in these arguments.
D. Key transferable skills
At the end of the module, learners will be expected to: - Interpersonal skills of effective listening, negotiating, persuasion and presentation;
- Ability to conduct research into business and management issues, either individually or as part of a team for projects/dissertations/presentations. This requires familiarity with and an evaluative approach to a range of business data, sources of information and appropriate methodologies, and for such to inform the overall learning process; including the development of personal and team attributes and capabilities for entrepreneurial success;
- Self reflection and criticality including self awareness, openness and sensitivity to diversity in terms of people, cultures, business and management issues;
- Skills of learning to learn and developing a continuing appetite for learning; reflective, adaptive and collaborative learning.
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EL111 Communication Skills in English 1
(3) Credit Hours
As an integrated skills syllabus, EL111 continues to develop the communication skills – listening, speaking reading and writing- together with functions, vocabulary and grammar. However, special emphasis is placed on the two major skills of READING and WRITING through which structure, vocabulary, etc. can be integrated and developed. The course is learner-centered and seeks to introduce thematic topics which aim at developing critical thinking skills. It emphasizes the skill of reading through the application of learning strategies such as prior knowledge, scanning for specific information, skimming for main idea, and getting meaning from context. The course helps students to become more independent learners through extensive reading and writing practice.
Course Code |
EL111 |
Course Title |
Communication Skills in English 1 |
Pre-requisite |
EL099 |
Credit Hours |
3 |
Course Description |
As an integrated skills syllabus, EL111 continues to develop the communication skills – listening, speaking reading and writing- together with functions, vocabulary and grammar. However, special emphasis is placed on the two major skills of READING and WRITING through which structure, vocabulary, etc. can be integrated and developed. The course is learner-centered and seeks to introduce thematic topics which aim at developing critical thinking skills. It emphasizes the skill of reading through the application of learning strategies such as prior knowledge, scanning for specific information, skimming for main idea, and getting meaning from context. The course helps students to become more independent learners through extensive reading and writing practice.
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Course Objectives |
- Acquaint students with the four basic language skills of listening, speaking, reading and writing.
- Have students practice all four skills through drilling, in-class work, home assignments, and online practice.
- Placing extra emphasis on the two language skills of reading and writing.
- Involve students in oral practice and allow them to take part in class activities to develop the skill of speaking.
- Enable students to write reports, and well organized 3-paragraph essays.
By the end of the first course (i.e. EL111) students should be able to:
- listen to and comprehend varieties of English discourse spoken at normal speed
- speak correctly and fluently with reasonable pronunciation
- communicate with ease and confidence on a variety of daily topics as well as on topics related to university education, using appropriate structures and vocabulary.
- read and understand a variety of English texts of varying length, complexity, and genres.
- write different types of paragraphs (descriptive, narrative, argumentative, persuasive, cause and effect, comparison and contrast, definition, process) and different letter types (personal letters, letters of inquiry, letters of application, etc.) using appropriate punctuation marks, mechanics of writing, as well as cohesive devices. Eventually, students should be able to write a three-paragraph essay.
- summarize different types of texts correctly and efficiently.
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Course Outcomes |
A. Knowledge and understanding
At the end of the module, learners will be expected to:
A1: Develop good understanding the four language skills. A2: Develop student’s knowledge and familiarize them with some basic concepts for improving language skills
B. Cognitive skills
At the end of the module, learners will be expected to:
B1: Develop awareness of the relevant strategies for improving each language skill
B2: Develop awareness of the relationship between all four language skills
C. Practical and professional skills At the end of the module, learners will be expected to:
C1: Produce well-written reports and well- organized 3-paragraph essays on different writing functions and purposes
C2: Read short 1-2 page texts with understanding and reasonable comprehension
D Key transferable skills
D1: Demonstrate ability to read texts with understanding, while using some key reading strategies and techniques like scanning and skimming.
D2: Write 3-paragraph essay with cohesion and coherence.
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EL112 Communication Skills in English 2
(3) Credit Hours
This course complements and builds upon English 111. It particularly seeks to develop the reading, writing, listening, and study skills which students need in order to meet the demands of distance learning university education. This course is based on New Headway Plus Series from Oxford University Press. A new two-level advanced course, New Headway has a thematic syllabus that invites learners to talk and write about stimulating topics while developing critical thinking skills and learning strategies. The twelve units in each book are based on high-interest themes such as memorable moments, odd jobs, conflict resolution, biological clocks, and humor. Progress checks every three units consolidate key language, present test-taking strategies, and provide useful practice for standardized tests.
Course Code |
EL112 |
Course Title |
Communication Skills in English 2 |
Pre-requisite |
EL111 |
Credit Hours |
3 |
Course Description |
This course complements and builds upon English 111. It particularly seeks to develop the reading, writing, listening, and study skills which students need in order to meet the demands of distance learning university education. This course is based on New Headway Plus Series from Oxford University Press. A new two-level advanced course, New Headway has a thematic syllabus that invites learners to talk and write about stimulating topics while developing critical thinking skills and learning strategies. The twelve units in each book are based on high-interest themes such as memorable moments, odd jobs, conflict resolution, biological clocks, and humor. Progress checks every three units consolidate key language, present test-taking strategies, and provide useful practice for standardized tests. |
Course Objectives |
- This course complements and builds upon English 111.
- It particularly seeks to develop the reading, writing, listening, and study skills that students need in order to meet the demands of Blended Learning university education.
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Course Outcomes |
By the end of the course (i.e. EL112) the student should be able to:
Demonstrate understanding of any given reading passage by responding correctly to its tasks and activities individually or in groups and show knowledge and understanding of the learned reading strategies.
Recognition of the various “meanings" of words to reach a better understanding of the context and the written word and reveal awareness of appropriate language structures and vocabulary items suitable for different contexts and situations.
Search for and collect specific data related to the topics under discussion and draw conclusions for the discussed topics based on the collected data and analyzed information.
Improve analytical and critical thinking skills through the identification of possible “meanings".
Communicate in English orally and in writing on diverse occasions and give oral presentations using power points, flipcharts, pictures, role plays, etc. to discuss what has been read orally. The ability to work in a group and individually to identify problems in specific topics and provide creative solutions.
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GB102 Principles of entrepreneurship for non-specialists
(3) Credit Hours
Providing students with concepts and tools that help them learn about the principles of entrepreneurship, its importance, and the steps for establishing and managing small projects, in addition to introducing students to the steps necessary to establish a small-sized private project through the following main methods:
Developing students’ ability to apply the concepts necessary to start a project in business reality
Improve students' ability to use business creation tools such as business plan and business model
Applying technological tools in entrepreneurship through projects that are discussed within interactive groups.
Course Code |
GB102 |
Course Title |
Principles of entrepreneurship for non-specialists |
Pre-requisite |
|
Credit Hours |
3 |
Course Description |
Providing students with concepts and tools that help them learn about the principles of entrepreneurship, its importance, and the steps for establishing and managing small projects, in addition to introducing students to the steps necessary to establish a small-sized private project through the following main methods:
Developing students’ ability to apply the concepts necessary to start a project in business reality
Improve students' ability to use business creation tools such as business plan and business model
Applying technological tools in entrepreneurship through projects that are discussed within interactive groups. |
Course Objectives |
- Knowledge of the basics and principles of entrepreneurship and their practical applications - Developing the concept of self-employment culture - Determine the appropriate path for the project and take advantage of the available opportunities - Identify the most important characteristics of an entrepreneur and how to develop them - Identifying the most important bodies that support entrepreneurs - Finding opportunities for successful projects and comparing them using modern scientific methods - Identifying the procedures and legislation regulating business establishments - Acquiring and developing entrepreneurial project management skills
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Course Outcomes |
Upon successful completion of GB102 , students will be able to: Understand Principles of Entrepreneurship - Explain the fundamental principles and concepts of entrepreneurship and their importance in the business world.
Recognize the Importance of Entrepreneurship - Articulate the role and significance of entrepreneurship in economic development and innovation.
Develop Business Ideas - Generate and evaluate viable business ideas for small projects.
Formulate Business Plans - Develop comprehensive business plans that outline the strategy, objectives, and financial projections for a small business.
Design Business Models - Create effective business models that detail the value proposition, customer segments, revenue streams, and key activities of a new business venture.
Apply Entrepreneurship Concepts - Apply entrepreneurial concepts and methodologies in practical scenarios to initiate and manage small projects.
Understand Steps to Establish a Business - Describe the necessary steps and procedures for establishing a small-sized private project, including legal, financial, and operational considerations.
Manage Small Projects - Demonstrate the ability to manage the day-to-day operations of a small business, including marketing, finance, and human resources.
Use Business Creation Tools - Utilize business creation tools such as SWOT analysis, market research, and financial forecasting to support business planning and development.
Evaluate Business Viability - Assess the feasibility and potential success of new business ventures using appropriate analytical techniques.
Engage in Entrepreneurial Thinking - Develop an entrepreneurial mindset that fosters innovation, risk-taking, and problem-solving in business contexts.
Prepare for Real-World Business Challenges - Prepare to face real-world challenges in entrepreneurship by applying theoretical knowledge to practical situations through case studies and projects.
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GD111 Introduction to Visual Perception
(4) Credit Hours
The course introduces the student to the translation of perception through delineation, drawing, and other descriptive media from a design perspective. Emphasis of the course is on the development of students' motor control by means of freehand and mechanical drawing and by development of analytical and objective observation from life and three-dimensional objects. Also, the course will help the student to learn
The basic principles of design, composition, Lines and shapes as mediums.
Application is by problem-solving and exploration of the elements and principles in two dimensional means and in a contemporary mode of expression and sketching technique from body figures to industrial representation. This studio introduces the student to the elements and concepts of two dimensional design compositions. Formal and relational properties of line, shape, form, value, and texture are studied. Studio exercises using various media explore concepts of balance, harmony, repetition, rhythm, scale, proportion, time and motion in 2-dimensional compositions.
1. The courses "Digital Visualization Studio" (5VC017) and "Visual Narrative" (5VC012) will build on the design basics concepts and skills acquired from this course "Introduction to Art and Design in Context".
2. Illustration:
This course introduces students to illustration as an art and design form of visual communication. It emphasizes the development of problem solving skills from the initial stage to the final implementation stage of image making. It uses drawing techniques such as black and white.
Course Code |
GD111 |
Course Title |
Introduction to Visual Perception |
Pre-requisite |
- |
Credit Hours |
4 |
Course Description |
The course introduces the student to the translation of perception through delineation, drawing, and other descriptive media from a design perspective. Emphasis of the course is on the development of students' motor control by means of freehand and mechanical drawing and by development of analytical and objective observation from life and three-dimensional objects. Also, the course will help the student to learn
The basic principles of design, composition, Lines and shapes as mediums.
Application is by problem-solving and exploration of the elements and principles in two dimensional means and in a contemporary mode of expression and sketching technique from body figures to industrial representation. This studio introduces the student to the elements and concepts of two dimensional design compositions. Formal and relational properties of line, shape, form, value, and texture are studied. Studio exercises using various media explore concepts of balance, harmony, repetition, rhythm, scale, proportion, time and motion in 2-dimensional compositions.
1. The courses "Digital Visualization Studio" (5VC017) and "Visual Narrative" (5VC012) will build on the design basics concepts and skills acquired from this course "Introduction to Art and Design in Context".
2. Illustration:
This course introduces students to illustration as an art and design form of visual communication. It emphasizes the development of problem solving skills from the initial stage to the final implementation stage of image making. It uses drawing techniques such as black and white.
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Course Objectives |
The aims of the art and design in context are: - Acquire the theory necessary for the practice of drawing for designers
- Discern the drawing component
- Recognize and appreciate design in nature and all creation
- Acquire the basic terminology of the design profession
- Develop an understanding of "why to do it" as well as "how to do it"
- Acquire technical proficiency in the use of the tools and materials of design
- Apply the elements of design to exploit their use through one's own perception.
- Master the essential drawing skills and techniques such as gestalt, light and shadow, relationship, spaces and edges.
- Acquire a comprehensive knowledge, theories, and concepts about illustration and its major roles as an artistic form and visual communication tool.
- Develop substance knowledge of drawing techniques, art styles, drawing mediums and craftsmanship needed for image making.
- Acquire a competency with the tools and techniques associated with the art of illustration.
- Explore interdisciplinary forms of art making such as drawings, collage and mixed media.
- Develop an appreciation and tolerance of diverse perspectives dealing with art and culture.
- Become involved in collaborative art experiences.
- Use the elements of design in creative manners to produce aesthetically pleasing compositions.
- Develop self-expression and effective visual communication.
- Use appropriate critical vocabulary to describe and analyse works of art.
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Course Outcomes |
A. Knowledge and understanding
On completion of the course students will be able to: On completion of the course students will be able to: - Get familiar with the drawing elements: colour, shape, line, tone, texture, form, etc.
- Define the visual rolls of design principles: balance, contrast, cropping, etc. in design.
- Identify the design elements and principles that satisfy the stated purpose.
- Demonstrate knowledge and understanding of the role of perception as a communication tool in graphic and multimedia design.
- Research, analyse, identify, and apply key aspects of the subject matter, the artistic techniques and the principles of drawing.
- Use appropriate terminology to describe illustration types, styles, mediums, techniques and processes.
- Explain, discuss and critique illustration art work, including some reference to the art historical, social, and cultural context.
B. Cognitive skills
On completion of the course students will be able to: - Enrich skills of combining manual methodologies and materials in order to fulfil certain function.
- Read text materials and identify key points and concepts that should or could be communicated through an illustration.
- Select data and information from various sources and analyse and present them on an appropriate manner to support a project and its solution.
- Communicate effectively visual concepts showing recognition of the target audience and the purpose of the illustrations.
- Identify key elements of the subject matter needed to be illustrated and its purpose and identify the appropriate artistic techniques and methods for producing illustration projects.
C. Practical and professional skills
On completion of the course students will be able to: - Develop the ability to synthesize into a coherent point of view and communicate it through 2D and 3D formats.
- Employ technical and artistic skills needed to create highly crafted illustration projects that communicate ideas for specific target audience and for various design applications.
- Use effectively and creatively elements and principles of design in the creation of illustration projects.
- Identify and communicate visually alternative solutions.
- Create effective art composition by applying design principles and appropriate rules of composition.
D. Key transferable skills
On completion of the course students will be able to: - Translate verbal meanings into design forms, by using different materials and methodologies.
- Discuss your work and the work of others with confidence and to offer critical feedback to their classmates.
- Design, illustrate, and complete individual projects for various purposes and audience in effective and creative manner.
- Create a portfolio of graphic design and multimedia projects and display finished works in a professional manner.
- Classify illustrations according to types of design problems, subject matter and applications.
- Demonstrate an understanding of the demands and expectations of the illustration profession.
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GD112 Design Methodologies and Creative Process
(4) Credit Hours
This studio course introduces the students to various research methodologies for any given design subject and continues to tackles the art of presentation. Students will learn how to generate creative and innovative ideas/concepts for their projects through the study and practice of creative strategies and design process. In a world where technology is rendering our temper shorter and our perception impatient, this theoretical course is designed to shape the students thinking through the practical aspects of its content.
Course Code |
GD112 |
Course Title |
Design Methodologies and Creative Process |
Pre-requisite |
|
Credit Hours |
4 |
Course Description |
This studio course introduces the students to various research methodologies for any given design subject and continues to tackles the art of presentation. Students will learn how to generate creative and innovative ideas/concepts for their projects through the study and practice of creative strategies and design process. In a world where technology is rendering our temper shorter and our perception impatient, this theoretical course is designed to shape the students thinking through the practical aspects of its content. |
Course Objectives |
- Develop a clear understanding of what is design.
- Exhibit insight into the various steps of the creative design process.
- Carry out proper research.
- Learn how to do proper referencing and citation in order to avoid plagiarism.
- Recognize the insights, needs and parameters involved in a given design challenge.
- Write a creative project brief.
- Adopt and apply design strategies appropriate to a given situation.
- Offer a clear, concise, organized, and well-articulated presentation, both visually and orally.
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Course Outcomes |
On completion of the course students will be able to: A. Knowledge and understanding
A1. Know what user-centred design is. A2. Understand the difference between design and art. A3. Have the knowledge of different primary research methods. Know the difference. between quantitative and qualitative research. A4. Learn the design thinking process.
B. Cognitive skills
On completion of the course students will be able to: B1. Have the critical thinking in design research. B2. Value the importance of “Empathy”. B3. Have the critical thinking whether the design is user-centred or not. B4. Co-creation. B5. Brainstorm. B6. Create a slogan.C. Practical and professional skills On completion of the course students will be able to:
C1. Conduct primary and secondary research. do APA referencing. C2. Apply the basic steps of the design thinking process. C3. Identify gaps, insights and generate solutions. C4. Write a creative brief. C5. Storyboard. C6. Mood board branding.
D. Key transferable skillsOn completion of the course students will be able to:
D1. Conduct appropriate research. D2. Analyse information to identify gaps and insights. D3. Ideate the appropriate design solution. D4. Visual and spoken presentation skills.
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GD113 Fundamentals of Design Studio Practices
(4) Credit Hours
This course consists of an introduction to design components as well as design elements and composition. The fundamental principles and applications of design, emphasis on critical and cultural awareness, developing of technical skills and the notion of creative problem solving are all parts of this course. This course lays the foundation of the introduction to broad appreciation of how various elements are used in design. It also provides theories and techniques related to composition for developing skills associated with observation, perception, concepts and mediums.
Course Code |
GD113 |
Course Title |
Fundamentals of Design Studio Practices |
Pre-requisite |
|
Credit Hours |
4 |
Course Description |
This course consists of an introduction to design components as well as design elements and composition. The fundamental principles and applications of design, emphasis on critical and cultural awareness, developing of technical skills and the notion of creative problem solving are all parts of this course. This course lays the foundation of the introduction to broad appreciation of how various elements are used in design. It also provides theories and techniques related to composition for developing skills associated with observation, perception, concepts and mediums. |
Course Objectives |
The aims of the Fundamentals of Design Studio Practices component of the course are to:
- introduce basic media production skills
- effectively communicate 2D and 3D compositions and products using various media
- develop an appreciation of the role of graphical physical applications in the area of graphic design.
- extend and enrich the knowledge using graphical applications for different types of graphic design
- impart practical knowledge of using graphic applications through hands-on training
- learn to utilize media as drafting systems to become more productive
The aims of the graphic elements and composition component of the course are to:
• provide a crucial foundation related to elements and composition for students wishing to complete the Arab Open University degree in graphic and multimedia design technologies.
• the academic purpose relating to this course is designed to introduce learners to the technical, conceptual, and perceptual skills required for drawing images and creating compositions for various design applications.
• This part of the course enhances commitment to learning, investigation, exploration, experimentation, and development of the following:
1. perceptual approach (drawing from direct observation), 2. technical approach (media and skill), 3. formal approach (understanding and expressive use of visual language and media), 4. conceptual approach (analytical/intellectual/intuitive understanding), 5. verbal/critical (descriptive, analytical, interpretive, judgment), effort, investment of time, energy, commitment to achievement craftsmanship, and timely completion. The graphic elements and compositions part of the course will enable students to: - Acquire perceptual and technical knowledge about gestalt, light and shadow, edges, relationships, and spaces.
- Understand the principles of visual perception theory: similarity, good continuity, closure, proximity, figure and ground, and common fate.
- Acquire a profound knowledge of the elements of art and design and their properties: point, line, shape, texture, color, value, size, and space.
- Acquire perceptual, conceptual, technical, and formal knowledge of the various qualities of the elements of art and design, and distinguish the expression and meaning of each quality.
- Acquire knowledge of the principles of art and design and their properties: proportion, repetition, balance, harmony, rhythm, emphasis, focal point, unity, variation, contrast, movement, and direction.
- Understand the perceptual functional and dynamic relationship between the elements and principles of art and design.
- Acquire an understanding of the principles and types of two-dimensional shapes and three-dimensional forms.
- Acquire a knowledge of the principles and techniques of perspective, and understand the relationships between perspective, vanishing points, point of view, light and shadow, value, color, size, and distance.
- Acquire knowledge and technical skills in the applications of drawing mediums, such as graphite, charcoal, watercolor, ink, conte crayon, pastel, collage, and mixed media.
- Develop a substance understanding of rendering techniques, tools, color schemes, art styles, and craftsmanship for image making.
- Acquire a comprehensive knowledge of the following rules of composition: the rule of thirds, the golden ratio, the arrangements of light and heavy elements, light and dark values, cool and warm colors, small and big forms, figure and background, and positive and negative spaces.
- Learn effectively to apply the elements and principles of drawing and the rules of composition to the context of the subject matter and tie them together in one whole artwork.
- Develop observation skills, practice memory recollection, and focus attention on details and relationships.
- Develop an artistic self-expression skill and an ability to convey meanings, interpretations, and ideas.
- Acquire a substance knowledge of the roles of cultural, social, and artistic values in the art of drawing, and develop skills of evaluating, appreciating, and criticizing drawing artworks.
- Develop perceptual, technical, artistic, and methodical skills for handling subject matters, such as problem-solving, exploring potential solutions, analyzing and interpreting verbal and visual information, communicating ideas, conveying meanings, and expressing moods, emotions, and feelings.
- Create aesthetically pleasing drawings and composition artworks of various subject matters.
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Course Outcomes |
A. Knowledge and
understanding On completion of the course, students will be able to:
- Understand the logical steps of the implementation and the application for creating designs/problem-solving.
- Understand and use the tools and techniques of the graphical materials.
- Describe the key concepts of gestalt, light and shadow, edges, relationships & and spaces.
- Recognize the principles of gestalt and their functions in existing drawing and compositional design.
- Identify & and explain the rules of composition.
- Use appropriate terminology for describing concepts, drawings, compositions, methods, techniques, tools, art mediums & and materials.
B. Cognitive skills
On completion of the course, students will be able to: - Develop the ability to use media applications for processing images and designs.
- Explain the graphic workflow, and discuss the relation among different styles and components.
- Explain, discuss, and compare various design styles, techniques, mediums, and processes.
- Demonstrate an understanding of the properties, qualities, functions, relationships, dynamics, and meanings of the elements of design.
- Critically analyze compositions within their historic and cultural context.
- Identify and explain the principles of two and three-dimensional shapes and forms and their link to perspective, point of view, light and shadow, value, color, size, and distance.
C. Practical and
professional skills
On completion of the course, students will be able to: - Create time management methods, using “What, Why, and How" and developing a background for visual application.
- Realize the implication and application of various media and their functions in graphic design.
- Creatively & and skillfully use various mediums for rendering subject matters of designed artworks.
- Apply the elements & and principles of design and the appropriate rules of composition to the context of the subject matter and tie them together in one whole design.
- Demonstrate competency with the tools and techniques associated with composition and their terminology.
D. Key transferable
skills
On completion of the course, students will be able to: - Using brainstorming, and sketching drafts of ideas in addition to practical knowledge will create skill sets necessary for careers in the field of graphic design.
- Appreciating the professionalism, follow a plan of processing an image to create visual design understanding.
- Demonstrate the ability and versatility to create drawings and compositions for various purposes.
- Demonstrate perceptual, technical, artistic, and methodical skills for handling subject matters, such as problem-solving, exploring potential solutions, analyzing and interpreting verbal and visual information, communicating ideas, conveying meanings, and expressing moods, emotions, and feelings.
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GD124 Digital Photography I
(4) Credit Hours
The objective of this course is to teach the students basic technical photography in a simple and interesting way as well as to teach them the manipulation of photographic tools and different kinds of lighting.
This course focuses on the artistic importance of photography by studying different themes (landscape – portrait – fashion) and by emphasizing on composition, appropriate lighting, timing of picture and messages in artistic photos.
Course Code |
GD124 |
Course Title |
Digital Photography I |
Pre-requisite |
- |
Credit Hours |
4 |
Course Description |
The objective of this course is to teach the students basic technical photography in a simple and interesting way as well as to teach them the manipulation of photographic tools and different kinds of lighting.
This course focuses on the artistic importance of photography by studying different themes (landscape – portrait – fashion) and by emphasizing on composition, appropriate lighting, timing of picture and messages in artistic photos.
|
Course Objectives |
- Understand the history of photography
- Become proficient at the technical aspect of photographing with a camera
- Use camera manually (Aperture, Shutter Speed, ISO, White Balance, Focus)
- Understand the relationship between ISO, Shutter Speed and Aperture (Exposure triangle)
- Understand the difference between quantity and color of the light (white balance, kelvin)
- Recognition and manipulation of the direction of light (6 key directions: Frontal, 45degree, 90 degree, Zenithal, Diabolic, Back light)
- Construct the proper lighting and acknowledge the importance of the light and reflections (key light, fill light, back light, background light)
- Understand the rules of image composition
- Emphasize on the artistic part of the image and different themes of photography
- Conceptual thinking and visualizing concepts via images
- Studying the work of great photographers (Ansel Adams, Henri Cartier Bresson…)
|
Course Outcomes |
A. Knowledge and understanding
Upon completion of the course students will be able to: - Understand camera controls: shutter speed, aperture, ISO...
- Capture well framed and exposed images
- Demonstrate knowledge and understanding of the role of photography in these times.
- Recognize and manipulate the direction of light.
- Emphasize on the artistic part of the image and different themes and fields of photography.
B. Cognitive skills
Upon completion of the course students will be able to: - Develop skills of combining manual methodologies and materials in order to fulfil certain functions.
- Read text materials and identify key points and concepts that should or could be communicated through a photo.
- Select data and information from various sources and analyse and present them on an appropriate manner to support a project and its solution.
- Communicate effectively visual concepts showing recognition of the target audience and the purpose of the photo.
- Identify key elements of the subject matter needed to be photographed and its purpose and identify the appropriate artistic techniques and methods for producing image projects.
C. Practical and professional skills
Upon completion of the course students will be able to: - Develop the ability to synthesize coherent creative thoughts and communicate them through images.
- Employ technical and artistic skills needed to create beautiful photo projects that communicate specific concepts and ideas to the target audience.
- Use effectively and creatively elements and principles of photography in the creation of a narrative.
- Identify and communicate visually alternative solutions.
- Create effective art photos by applying principles and appropriate rules of composition.
D. Key transferable skills
Upon completion of the course students will be able to: - Translate verbal meanings into photo forms, by using different materials and methodologies.
- Discuss their work and the work of others with confidence and to offer critical feedback to their classmates.
- Use photos to complete individual projects for various purposes and audience in an effective and creative manner.
- Create a portfolio of visually and conceptually strong photographs and display these finished works in a professional manner.
- Classify photography according to types, subjects and applications.
- Demonstrate an understanding of the demands and expectations of the photography profession.
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GD125 Typography I
(4) Credit Hours
This course provides a comprehensive theoretical and practical knowledge about typography. Principles, concepts, technology, techniques, terminologies, functions, communication, usage, and aesthetics of typefaces and various letterforms. In this course students will also learn to apply their acquired knowledge to various design outcomes from print to basic digital applications. The course provides skills not only essential for fulfilling the objectives of the module, but also contributes to other for coming curriculum modules. The academic purpose of this course focuses on the anatomy of letterforms as one of the elements and principles of design. Readability and legibility, sizes, typographic hierarchy, measuring systems, layout and composition, weight, widths, tracking, kerning, leading, word and letter spacing, paragraphs, margins, negative space and texture.
Course Code |
GD125 |
Course Title |
Typography I |
Pre-requisite |
|
Credit Hours |
4 |
Course Description |
This course provides a comprehensive theoretical and practical knowledge about typography. Principles, concepts, technology, techniques, terminologies, functions, communication, usage, and aesthetics of typefaces and various letterforms. In this course students will also learn to apply their acquired knowledge to various design outcomes from print to basic digital applications. The course provides skills not only essential for fulfilling the objectives of the module, but also contributes to other for coming curriculum modules. The academic purpose of this course focuses on the anatomy of letterforms as one of the elements and principles of design. Readability and legibility, sizes, typographic hierarchy, measuring systems, layout and composition, weight, widths, tracking, kerning, leading, word and letter spacing, paragraphs, margins, negative space and texture. |
Course Objectives |
This module aims to - Develop a deep understating and appreciation of typography. The course focuses on the anatomy of letterforms, terminology and type setting techniques and how to apply the elements and principles of design.
- Gain an understanding of the function of typography as a communicative and graphic element through class lectures, discussions, projects and critiques.
- Learn and understand the individual styles of typefaces and their indications of culture.
- Become familiar with the anatomy, characteristics, form and attributes of letterforms.
- Acquire knowledge of measurement system, size, leading, letter spacing and word spacing.
- Acquire understanding of the various components of the alphabet work in communication and how that affects type choice such as uppercase, lowercase, punctuation and spacing.
- Understand the principles and practice of using typefaces as an informative and expressive tool.
- Acquire understanding of the selection and arrangement of typefaces for effective legibility.
- Acquire design skills for typographic arrangement to ensure readability.
- Appreciate the importance of typography in visual communication design.
- Learn to develop typographical solutions for various communication objectives and functions.
- Understand the development of printing and its importance in typography.
- Acquire knowledge of typesetting and proofreading.
- Develop critique and presentation skills.
- Gain technical skills for digital and traditional type composition.
- Learn to create effective arrangements of text and visual images for various design applications.
- Develop a strong sensitivity to the aesthetic aspects of the arrangement of letterforms.
- Become familiar with the working practice, skills, and terminology of typography.
- Understand the dynamic and communicative form of typographiclayout and its functions.
- Understand the different weights, widths, and forms of typefaces such as light, bold, italic, oblique, serif, san serif, etc.
- Understand the communication value of different uses, kinds and appropriateness of typefaces.
- Use computer applications to create visual communication compositions.
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Course Outcomes |
A. Knowledge and Understanding - Develop a deep understanding and appreciation of typography, including its history and cultural significance
- Understand the anatomy of letterforms, typography terminology, and typesetting techniques
- Comprehend the function of typography as a communicative and graphic element
- Gain knowledge of individual styles of typefaces and their cultural implications
- Understand the measurement system, size, leading, letter spacing, and word spacing
- Acquire understanding of the various components of the alphabet and their impact on type choice
- Understand the principles and practices of using typefaces for effective communication
- Understand the development of printing and its importance in typography
B. Cognitive Skills- Analyze the anatomy, characteristics, and attributes of letterforms
- Evaluate and select appropriate typefaces for effective legibility and readability
- Develop skills to critique and present typographic work effectively
- Assess the communication value and appropriateness of different uses and kinds of typefaces
C. Practical and Professional Skills- Create typographical solutions for various communication objectives and functions
- Gain proficiency in typesetting and proofreading techniques
- Develop technical skills for both digital and traditional type composition
- Create effective arrangements of text and visual images for various design applications
- Use computer applications to create visual communication compositions
- Become familiar with the working practices, skills, and terminology of typography
D. Key Transferable Skills- Develop a strong sensitivity to the aesthetic aspects of the arrangement of letterforms
- Utilize typefaces as both informative and expressive tools in design projects
- Enhance ability to communicate design ideas clearly through the use of typography
- Work effectively in team settings, contributing to collaborative typographic projects
- Present typographic designs and concepts confidently and clearly to an audience
- Adapt and innovate typographic designs to meet various communication challenges and objectives
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GD126 Introduction to Multimedia Design
(4) Credit Hours
The Objective of this course is to familiarise the students with all aspects of Multimedia, whether be it a brief look into the history of Cinema, TV, and Social Media or the manipulation of Audio, Video and light equipment and tools of the trade including a brief overview on editing. How to address every job title and learn how a basic shoot works.
This course will also cover famous directors, great scenes, how to breakdown a commercial or a video clip and to be able to think creatively and reproduce any Multimedia project the student desires.
The course is also designed to enrich the students with a vast knowledge and by the end they will be able to view TV and Cinema while having a critic’s point of view.
The students will also see how Multimedia came to be from the Film reels of Cinema to the Modern day age of Digital shooting.
Course Code |
GD126 |
Course Title |
Introduction to Multimedia Design |
Pre-requisite |
- |
Credit Hours |
4 |
Course Description |
The Objective of this course is to familiarise the students with all aspects of Multimedia, whether be it a brief look into the history of Cinema, TV, and Social Media or the manipulation of Audio, Video and light equipment and tools of the trade including a brief overview on editing. How to address every job title and learn how a basic shoot works.
This course will also cover famous directors, great scenes, how to breakdown a commercial or a video clip and to be able to think creatively and reproduce any Multimedia project the student desires.
The course is also designed to enrich the students with a vast knowledge and by the end they will be able to view TV and Cinema while having a critic’s point of view.
The students will also see how Multimedia came to be from the Film reels of Cinema to the Modern day age of Digital shooting.
|
Course Objectives |
- The aim of the course is to start by focusing on the audio aspect of Multimedia alone such as the manipulation of Microphones and the correct way of recording then to move on to learning about video alone through the manipulation of a digital camera and correct capturing.
- The integration of both mentioned items above into one consolidated form which is a single line of short film with an editing tool.
- Learning about audio and video imports and exports
- Learning basic special effects in editing
- An introduction into script writing
- Understanding the in-depth of the work that goes through in making TVC, Clips and Movies.
- To learn the proper wording used on sets for camera movements and the proper etiquette for each set.
- To learn about lighting equipment and indoor VS Outdoor shootings.
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Course Outcomes |
A. Knowledge and understanding
On completion of this course the student will be able to: - Get familiar with Microphones, Cameras, Lighting equipment, Grip and editing tools.
- Recognize and manipulate the indoor v/s Outdoor lighting correctly.
- See Artistically the movies and clips and be able to criticise the image in front of them.
- Learn the basics in Video effects.
- Brief history of Multimedia.
B. Cognitive skills
On Completion of this course the student will be able to : - Read through a Video and avoid making industry mistakes.
- Learn how to make and read storyboards.
- Be able to calculate frame rate and make high speed and low speed movies.
- Understand how the Multimedia made the world smaller and that every person can become a director.
- Understand the meaning of resolutions in Multimedia and how to convert formats.
C. Practical and professional skills
On Completion of this course the student will be able to : - Manipulate Microphones and record sound correctly.
- Manipulate Cameras and capture video correctly.
- Audio and Video integration into and editing program.
- Manipulate light equipment correctly.
- Import Export Audios and Videos into a short TVC or Clip or Short Movie.
- Breakdown a movie into parts and put it all on paper.
D. Key transferable skills
On Completion of this course the student will be able to : - Understand how to read a breakdown and make one from a scene.
- Understand the Multimedia Market.
- Open a YouTube channel
- the student will be able to make a project quotation from zero.
- On set etiquette and understanding the job of every person on the shooting team
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GD211 Digital Photography 2
(4) Credit Hours
The objective of this course is to teach the students basic technical photography in a simple and interesting way as well as to teach them the manipulation of photographic tool and different kind of lighting.
This course focuses more on the artistic importance of photography by studying different themes (landscape – portrait – fashion – illustration) and by emphasizing on composition, beautiful lighting ,timing of picture and messages in an artistic photo.
Course Code |
GD211 |
Course Title |
Digital Photography 2 |
Pre-requisite |
- |
Credit Hours |
4 |
Course Description |
The objective of this course is to teach the students basic technical photography in a simple and interesting way as well as to teach them the manipulation of photographic tool and different kind of lighting.
This course focuses more on the artistic importance of photography by studying different themes (landscape – portrait – fashion – illustration) and by emphasizing on composition, beautiful lighting ,timing of picture and messages in an artistic photo.
|
Course Objectives |
- Become proficient at the technical aspect of photographing with the camera. Use camera manually (iris, shutter, ASA, WB, focus)
- Understand the relationship between ISO, shutter speed and aperture(quantity of light)
- Understand the difference between quantity and color of the light (white balance, kelvin)
- Recognition and manipulation of the direction of the light(6 key directions: Frontal, 45degree, 90 degree, Zenithal, Diabolic, Back light.
- Construct the proper lighting and acknowledge the importance of the light and reflections (key light, fill light, back light, background light).
- Work with the contrast and direction of the light.
- Basic knowledge of image composition
- Emphasize on the artistic part of the image and different themes of photography
- Be more aware of the correct composition by analyzing the shapes and lines inside the image.
- The 3rd dimension in photography.
- Be more sensible to the direction of the light, its contrast and color.
- Working with concept images and being able to deliver a message
- Studying the work of great photographer (Ansel Adams, Henri Cartier Bresson…)
|
Course Outcomes |
A. Knowledge and understanding
On completion of the course students will be able to: - Get familiar with camera elements: shutter, iris, asa, wb, etc.
- Define the photographic element of an image
- Identify,technic,composition,special,moment,light.
- Demonstrate knowledge and understanding of the role of photography in these times.
- Recognition and manipulation of the direction of the light.
- Emphasize on the artistic part of the image and different themes of photography.
- The 3rd dimension in photography.
B. Cognitive skills
On completion of the course students will be able to:
- Enrich skills of combining manual methodologies and materials in order to fulfil certain function.
- Read text materials and identify key points and concepts that should or could be communicated through a photo.
- Select data and information from various sources and analyse and present them on an appropriate manner to support a project and its solution.
- Communicate effectively visual concepts showing recognition of the target audience and the purpose of the photo.
- Identify key elements of the subject matter needed to be photographed and its purpose and identify the appropriate artistic techniques and methods for producing image projects.
C. Practical and professional skills
On completion of the course students will be able to: - Develop the ability to synthesize into a coherent point of view and communicate it through 2D and 3D formats.
- Employ technical and artistic skills needed to create beautiful photo projects that communicate ideas for specific target audience and applications.
- Use effectively and creatively elements and principles of photo in the creation of small stories.
- Identify and communicate visually alternative solutions.
- Create effective art photos by applying principles and appropriate rules of composition.
D. Key transferable skillsOn completion of the course students will be able to: - Translate verbal meanings into photo forms, by using different materials and methodologies.
- Discuss your work and the work of others with confidence and to offer critical feedback to their classmates.
- Photo, complete individual projects for various purposes and audience in effective and creative manner.
- Create a portfolio of photos projects and display finished works in a professional manner.
- Classify photography according to types, subjects and applications.
- Demonstrate an understanding of the demands and expectations of photography profession.
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GD212 Critical and Contextual Issues in Art and Design
(4) Credit Hours
This course consists of two complementary parts: semiotics through media aesthetics and general design culture.
The Semiotic part of the course provides substantial knowledge about applied media aesthetics, relationship between a number of aesthetics phenomena, including image elements, light, color, space, time/motion, sound, image and our perceptual reaction to them. It explains how the applied media such as video, film, and computer imaging play an important part in shaping the message, and how media aesthetics can be applied to both analysis and synthesis production. The course provides students with knowledge for future work in media productions, media studies and in other communications related fields. It provides a knowledge and thinking skills not only essential for fulfilling the objectives of this module, but, also, contributes to other modules of the curriculum, such as Visual Narrative, Digital Photography 1and 2 and Media Production, Visual Effects, Compositing and Mixed Media Production, 3D Modeling and Animation Techniques, Digital and Emerging Media Design.
General design culture:
Know who you are. Be what you know.
This introduction to design culture is a critical unit demonstrating the emphasis of the design process on the development of visual language. It takes the student through a brief journey exploring the historic, scientific, economic, technical and cultural influences on the development of visual languages.
Course Code |
GD212 |
Course Title |
Critical and Contextual Issues in Art and Design |
Pre-requisite |
- |
Credit Hours |
4 |
Course Description |
This course consists of two complementary parts: semiotics through media aesthetics and general design culture.
The Semiotic part of the course provides substantial knowledge about applied media aesthetics, relationship between a number of aesthetics phenomena, including image elements, light, color, space, time/motion, sound, image and our perceptual reaction to them. It explains how the applied media such as video, film, and computer imaging play an important part in shaping the message, and how media aesthetics can be applied to both analysis and synthesis production. The course provides students with knowledge for future work in media productions, media studies and in other communications related fields. It provides a knowledge and thinking skills not only essential for fulfilling the objectives of this module, but, also, contributes to other modules of the curriculum, such as Visual Narrative, Digital Photography 1and 2 and Media Production, Visual Effects, Compositing and Mixed Media Production, 3D Modeling and Animation Techniques, Digital and Emerging Media Design.
General design culture:
Know who you are. Be what you know.
This introduction to design culture is a critical unit demonstrating the emphasis of the design process on the development of visual language. It takes the student through a brief journey exploring the historic, scientific, economic, technical and cultural influences on the development of visual languages. |
Course Objectives |
This course is aimed at the students who wish to complete the Arab Open University's degree in Graphic and Multimedia Design program. The purpose of this course is related to its two academic sub components: semiotics and applied media aesthetics as well as general design culture. In the first part the aim is to introduce students to the formal elements of semiotics through composition and structure. In this course students develop a language to help them articulate what films, photographs, or advertisements look like, what formal or stylistic choices were made in their production, and what distinguishes one media artifact from another. This part of the course describes the fundamental aesthetic elements of applied media aesthetics such as, light and color, two-dimensional space, three-dimensional space, time-motion, sound, and how they can serve as basic criteria for analysis of video and film. It also explains how these elements can be structured and applied to produce maximally effective visual and sound images in video and film. By placing these essential image elements into their particular contextual fields, their interdependence and structural potential in aesthetic synthesis, the clarification, interpretation, and communication of significant experiences are made clear.
This part of the course will enable the students to: - Learn and understand the basic principles of semiotics via examples from photography, film, audio and video.
- Identify the importance, influence, relationship and meaning of visual images.
- Understand the influence of historical development of aesthetic concepts of beauty, art and
- design for digital screens.
- Understand the context of marketing strategy, branding and identity development.
- Think critically about design choices used in applied media production.
General Design Culture: Studying the design process develop the convergence of diverse skills as well as the theoretical knowledge, which are necessary for reaching the right outcomes for any given design project. This module covers the design process' different layers: research, decoding, encoding, narrative, content development, experimentation and concept driven outcomes. Every area is explored both horizontally and vertically with a main focus on the transitions between the steps linking those areas.
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Course Outcomes |
A. Knowledge and understanding
On completion of the course students will be able to: - Demonstrate understanding of the principles of semiotics and media aesthetics.
- Recognize the aesthetics elements of film, video and electronic productions.
- Identify the theoretical and practical terminology associated with semiotics and its applications.
- Apply various visual communication approaches to solve given problems in specific areas of activity.
- Apply the required knowledge of every particular characteristic for each of the required design activities.
- Apply the means of expression of design language: form, balance, texture, composition, content, culture, etc., and to have the resources for creation in any of the fields of design.
- Apply the techniques of visual communication representation required in a project's process.
B. Cognitive skills
- On completion of the course students will be able to:
- Critically analyze design for digital screens using semiotics and aesthetic terms and evaluation criteria.
- dentify design elements and principles used in designs for applied media production.
- Appreciate the impact of social context, interaction, social connection and communication on design.
- Integrate knowledge and skills from the design process into other subject areas as essential parts of the practice of visual communication design.
- Develop their research skill covering both visual and analytical methods
C. Practical and professional skills
On completion of the course students will be able to: - Apply semiotic design concepts to create original design for various digital media formats.
- Explain, illustrate and evaluate formal aesthetic in video and film productions.
- Continue the development of their creative skills and have knowledge related to professional design business culture.
- Identify fundamental aspects of applied design process in professional design organization.
- Learn to develop and write conceptual narratives that feed directly into concept driven ideas.
D. Key transferable skills
On completion of the course students will be able to: - Demonstrate competence over semiotcs via the practical application of theories to film, video production and essay writing.
- Incorporate visual dimensions of light, color, space, and the dimensions of time, motion, and sound concepts into effective forms of communication in a digital media display.
- Master the knowledge necessary to make informed aesthetic choices and detailed production plans for audio visual projects.
- Apply storytelling techniques that involve the relationship of media aesthetic principles and the effects and perceptions of the audience.
- Recognize various design elements, their content and visual organization in any design composition.
- Narrative building skills that can be applied in any other module where a concept is needed to be at core of the visual development.
- Visual experimentations in different directions and analyze the difference in those directions based on required components.
- Repetition of the process to finally achieve what is known as the creative habit.
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GD213 Typography II
(4) Credit Hours
Beside being an advanced typography course and a continuation of Typography I the academic purpose of this course is planned to introduce students to more complex typographic issues and techniques both for screen and print. Students will explore and develop expressions of creative visual solutions, ideas, and production of typographic work as a vehicle for enhancing meaning and content, as well as using type effectively in multi-page layout, presentation skills and craftsmanship, both manual and digital skills. Students will also learn to develop and refine their acquired typographic skills such as reading systems, type aesthetics, grid systems, measuring systems, hierarchy and expressions, sequence, meaning, problem solving techniques, processes, function, value and quality. The course also provides students with the necessary knowledge to combine visual imagery and texts, design and use type in both print and digital design applications.
Course Code |
GD213 |
Course Title |
Typography II |
Pre-requisite |
|
Credit Hours |
4 |
Course Description |
Beside being an advanced typography course and a continuation of Typography I the academic purpose of this course is planned to introduce students to more complex typographic issues and techniques both for screen and print. Students will explore and develop expressions of creative visual solutions, ideas, and production of typographic work as a vehicle for enhancing meaning and content, as well as using type effectively in multi-page layout, presentation skills and craftsmanship, both manual and digital skills. Students will also learn to develop and refine their acquired typographic skills such as reading systems, type aesthetics, grid systems, measuring systems, hierarchy and expressions, sequence, meaning, problem solving techniques, processes, function, value and quality. The course also provides students with the necessary knowledge to combine visual imagery and texts, design and use type in both print and digital design applications. |
Course Objectives |
This course is aimed at the students who wish to complete the Arab Open University's degree in Graphic and Multimedia Design program. The academic purpose of this part of the course is planned to introduce students to more complex design issues and techniques related to typography. Throughout the course, students will explore and develop creative solutions, expression of visual solutions, ideas, production, the use of typography as a vehicle for enhancing meaning and content, using type effectively in multi-page layout, presentation skills, craftsmanship, manual and digital skills. This part of the course enables students to: - Build upon the concepts acquired in Typography I.
- Acquire an advanced knowledge, theories, and concepts about typography, develop a
foundation of art skills, communicate ideas and concepts through research and typographic making. - Acquire a competency with the tools and technologies associated with typography and graphic design.
- Learn to design typography within various design spaces for different kinds of communication in static and dynamic media.
- Practice the regular typographic grid design, the formal systems in type design and text aesthetics.
- Consider typography and typographic hierarchy when delivered within static and
dynamic media - Learn to design more complex layout systems to produce creative typographic work.
- Learn to develop, practice and apply constructive criticism.
- Examine how visual and text messages can be shaped and presented for various types of communication design.
- Learn to apply typographic principles and knowledge in digital platforms.
- Develop a refined sense of observation to multi aspects of design problems.
- Learn to apply the irregular grid system to complex layouts.
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Course Outcomes |
A. Knowledge and understanding On completion of the course, students will be able to: A1. Demonstrate an understanding of processes of generating and solving problems in typography. A2. Analyse given design problems and reach appropriate solutions. A3. Demonstrate an understanding of critiques and the use of a critical vocabulary. A4.To discuss the subject of the course using typographic interpretation showing innovative thinking
B. Cognitive skills On completion of the course students will be able to: B1. Identify the theoretical principles of meaning, aesthetics and function in typographic design. B2.Demonstrate an understanding of message content and visual form. B3.Define and employ industry standard graphic design terminology to describe projects. B4. Specify type using multiple typographic parameters.
C. Practical and professional skills On completion of the course students will be able to: C1.Demonstrate the ability to experiment, innovate and test ideas involving image and text compositions. C2.Apply grid system to complex multi-page layouts. C3.Demonstrate the ability to visualize and control typographic spacing parameters such as kerning, tracking and letter spacing. C4.Manipulate typographic constraints such as point size, leading and measure to arrange text and improve legibility and readability of text, and manipulate typographic contrasts such as weight, posture and width to create emphasis and arrange text into hierarchical message systems.
D. Key transferable skills
On completion of the course students will be able to:
D1. Identify, define, and solve typographic design problems by proposing solutions, incorporating feedback and refining design proposals. D2.Communicate effectively by making oral and visual presentations. D3.Create visual communication designs, such as posters, advertisements, illustrations, brochures, booklets, calendars. D4.Demonstrate are fined sense of observation to multi aspects of design problems.
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GD224 Branding
(4) Credit Hours
This course deals with bilingual graphic identity and branding. As one of the most requested areas in visual communication design, a complete branding exercise has many components among which are logos. Branding represent companies, convey content through innovating visual narratives as well as companies’ vision, mission and goals by working closely with marketing. This course is organized to introduce students to contemporary branding practices, and the contextual histories of the discipline so they can contemplate their place within it. Students will approach design as both problem-seeking and problem-solving activities, with particular emphasis on complex usage as well as constraints. The course will also discusses theories, concepts, principles, strategies, methods, techniques, mediums, approaches, critiques and functions of visual images associated with visual communication design. It will provides substantial knowledge and thinking skills not only essential for fulfilling the objectives of this module, but also contributes to the real work field after graduation.
Course Code |
GD224 |
Course Title |
Branding |
Pre-requisite |
|
Credit Hours |
4 |
Course Description |
This course deals with bilingual graphic identity and branding. As one of the most requested areas in visual communication design, a complete branding exercise has many components among which are logos. Branding represent companies, convey content through innovating visual narratives as well as companies’ vision, mission and goals by working closely with marketing. This course is organized to introduce students to contemporary branding practices, and the contextual histories of the discipline so they can contemplate their place within it. Students will approach design as both problem-seeking and problem-solving activities, with particular emphasis on complex usage as well as constraints. The course will also discusses theories, concepts, principles, strategies, methods, techniques, mediums, approaches, critiques and functions of visual images associated with visual communication design. It will provides substantial knowledge and thinking skills not only essential for fulfilling the objectives of this module, but also contributes to the real work field after graduation. |
Course Objectives |
This course is aimed at the students who wish to complete the Arab Open University's degree in Graphic and Multimedia Design program. The course is designed as a project-based learning experience, where students learn the necessary skills to handle a branding project through the projects they are assigned. The course identifies and describes the construction of brand value. It also includes brand concepts, the core elements of branding, the importance of brand identity and its application to brand elements and promotional items.
The students will explore identities by creating a complete visual identity for clients and developing a complete visual system to communicate what this brand represents through a series of digital pieces. This will help them analyze the true definition of a brand, and make use of the project as ground-work for future professional endeavors. Students will utilize any means of expression in this course; from hand illustration to cutting-edge technologies, in order to gain experience in creativity, and presenting their files in the most professional manner. This course will help prepare the students for future pitching and presenting opportunities.
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Course Outcomes |
A. Knowledge and Understanding - Understand the fundamental concepts, theories, and principles of bilingual graphic identity and branding.
- Gain knowledge of contemporary branding practices and the contextual histories of the discipline.
- Comprehend the role of logos and other branding components in representing companies and conveying their vision, mission, and goals.
- Understand the relationship between branding and marketing in creating effective visual narratives.
- Learn the theories, concepts, principles, strategies, methods, techniques, mediums, approaches, critiques, and functions of visual images in visual communication design.
B. Cognitive Skills- Analyze and evaluate contemporary branding practices and their historical contexts.
- Develop problem-seeking and problem-solving skills in the context of design.
- Critically assess complex usage and constraints in branding and visual communication design.
- Apply theoretical knowledge to practical branding challenges, contemplating the student's place within the discipline.
C. Practical and Professional Skills- Create comprehensive branding exercises that include logos and other essential components.
- Develop visual narratives that effectively convey companies' visions, missions, and goals.
- Work closely with marketing to integrate branding strategies into broader communication plans.
- Utilize contemporary branding techniques and mediums in practical projects.
- Apply learned skills and knowledge to real-world branding projects, preparing for professional work in the field after graduation.
D. Key Transferable Skills- Enhance communication skills through the creation and critique of visual narratives and branding components.
- Develop teamwork and collaboration skills by working on branding projects in conjunction with marketing and other stakeholders.
- Cultivate critical thinking and creative problem-solving abilities applicable to various design and branding challenges.
- Strengthen presentation skills by articulating design concepts and branding strategies to diverse audiences.
- Foster adaptability and innovation in addressing complex branding scenarios and constraints.
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GD225 Digital Media Design for Web and Mobile Devices
(4) Credit Hours
The course introduces the student to Web and Digital Media Design in a blended approach of combining the creative and programming sides of web design. This course aims to develop skills necessary to design a logical, intuitive and clear web interface that is visually pleasing and user-friendly. The students will learn the tools of the trade, how to layout pages, use colour and text, integrate sound and video, and adapt and develop content for delivery on computers, mobile phones and the expanding realm of digital media devices. All to prepare the students for jobs such as web designer, web developer, online development specialist or interactive developer.
Course Code |
GD225 |
Course Title |
Digital Media Design for Web and Mobile Devices |
Pre-requisite |
|
Credit Hours |
4 |
Course Description |
The course introduces the student to Web and Digital Media Design in a blended approach of combining the creative and programming sides of web design. This course aims to develop skills necessary to design a logical, intuitive and clear web interface that is visually pleasing and user-friendly. The students will learn the tools of the trade, how to layout pages, use colour and text, integrate sound and video, and adapt and develop content for delivery on computers, mobile phones and the expanding realm of digital media devices. All to prepare the students for jobs such as web designer, web developer, online development specialist or interactive developer. |
Course Objectives |
- Understanding what makes design effective, usable, and ultimately successful.
- Leveraging user research techniques to elicit correct requirements and compile features that act as real opportunities for product success.
- Creating successful design in catering for user's needs, tackling existing pain points, and providing for a pleasant overall user experience.
- Tapping into interaction design and user experience design heuristic to gain knowledge of tackling the various design challenges.
- Learning and exercising best practices in page design to promote clarity, coherence, and aesthetics.
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Course Outcomes |
A. Knowledge and Understanding A1. Conduct user researchA2. Compiling user voice/needs/pain-pointsA3. Eliciting design insightsA4. Discovering product opportunities
B. Cognitive SkillsB1. Understanding UI, UX, IA principles, processes, and research methodologies
B2. Understanding User Experience Design methodologies B3. Understanding Coherence, Scale, and Balance in design B4. Understanding Color and Typography, and incorporating Multimedia Components in design
C. Practical and Professional SkillsC1. Compiling design criteria C2. Solving for practical and pleasant User Journeys C3. Exercising prototyping and testing C4. Creating UXD deliverables from user journeys
D. Key Transferable SkillsD1. Understanding what makes designs effective, usable, and ultimately successful D2. Practicing UX design process D3. Prototyping basics
D4. Conducting user research
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GD311 Art Direction
(4) Credit Hours
Normally an art director is someone who is responsible for the visual style and images in magazines, newspapers, product packaging, movies and television productions. They create the overall design and direct creative teams in the development of artworks and TV productions. The students will learn how art direction brings clarity and definition to their work as well as how to convey specific messages to a particular group of people. Art direction combines art and design to evoke a cultural and emotional reaction. It influences movies, music, websites, and magazines; just about anything we interact with.
Course Code |
GD311 |
Course Title |
Art Direction |
Pre-requisite |
|
Credit Hours |
4 |
Course Description |
Normally an art director is someone who is responsible for the visual style and images in magazines, newspapers, product packaging, movies and television productions. They create the overall design and direct creative teams in the development of artworks and TV productions. The students will learn how art direction brings clarity and definition to their work as well as how to convey specific messages to a particular group of people. Art direction combines art and design to evoke a cultural and emotional reaction. It influences movies, music, websites, and magazines; just about anything we interact with. |
Course Objectives |
This module aims to - Understand how creativity works.
- Apply lateral thinking process
- Craft the best art direction for a given concept, i.e. make it understandable, impactful, memorable and attractive.
- Skillfully combine photos &/or illustrations, graphics and typography in a layout. Understand the role of an art director in a shoot.
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Course Outcomes |
A. Knowledge and Understanding A1. Demonstrate a deep understanding of the creative processes involved in art direction, including the ability to analyze and explain how creativity works in the context of visual communication.
A2. Recognize and comprehend the principles of lateral thinking and its application in generating innovative visual concepts and interpretations for creative briefs.
B. Cognitive SkillsB1. Apply a lateral thinking process to explore and craft the most suitable art direction for a given concept, effectively translating ideas into understandable, impactful, memorable, and visually attractive visual representations. B2. Analyze and integrate photos, illustrations, graphics, and typography within a layout to create visually compelling and harmonious designs that align with the campaign's objectives.
C. Practical and Professional SkillsC1. Develop practical skills in art direction, enabling students to skillfully combine various visual elements and typography to create layouts that effectively convey a concept's unique visual identity. C2. Understand and apply the role and responsibilities of an art director in a shoot or production, showcasing proficiency in guiding and overseeing the visual elements of a creative project.
D. Key Transferable SkillsD1. Cultivate key transferable skills related to creative problem-solving, critical thinking, and innovation, allowing students to apply lateral thinking and art direction techniques in a variety of professional and creative contexts. D2. Enhance effective communication and presentation skills, empowering students to articulate and convey their creative concepts and ideas visually and verbally to clients, teams, and stakeholders.
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GD322 Open Design Studies
(4) Credit Hours
As in all self initiated studies, this course is basically content driven dealing with problem solving project briefs of the students choice. The focus is mainly to allow the student to investigate a topic that is of his/her choice, build the research question, investigate it and design the appropriate outcome. This course is basically designed for the students who would like to pursue a master degree in design in their near future.
Course Code |
GD322 |
Course Title |
Open Design Studies |
Pre-requisite |
|
Credit Hours |
4 |
Course Description |
As in all self initiated studies, this course is basically content driven dealing with problem solving project briefs of the students choice. The focus is mainly to allow the student to investigate a topic that is of his/her choice, build the research question, investigate it and design the appropriate outcome. This course is basically designed for the students who would like to pursue a master degree in design in their near future. |
Course Objectives |
• Arrange projects for inclusion in a graphic design portfolio, which demonstrates the skills required to secure employment in the field of graphic design and open an account on Behance (a portfolio based platform.)
• Demonstrate knowledge of, and employ a variety of presentation techniques to display work. • Completion of professional quality pieces for the portfolio (minimum of 5 complete projects) • Create a personal brand that serves as a theme across portfolio materials (Resume, Cover Letter, Portfolio, Etc.) • Design a Resume and Cover letter as well as open a LinkedIn account. • Help students assess strengths, weaknesses and desires in career path and research options/possibilities. • The students will learn to research articles and identify current events that are pertinent to the industry and relevant to the professional development of the student. • Acquire the skills needed to apply and interview for a job • Create a Promo Video ( a 30sec video promoting themselves, it can be as creative and abstract or as literal as they want it to be
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Course Outcomes |
A. Knowledge and Understanding A1. Arrange and refine projects for inclusion in a graphic design portfolio A2. Create a presentation portfolio A3. Identify and implement the theories and concepts discussed and taught in the classroom A4. Have the appropriate vocabulary and developed eye for different styles of design A5. Have the means to critique and refine their own work, as well as be able to give constructive feedback to their peers A6. Understand the basic principles of identity and self-branding – and conceptually thinking about the outcome and how to seek and solve problems at hand A7. develop an awareness to the importance of first impression, and how to present their work on different platforms.
B. Cognitive Skills B1. Explain how media and imaging relate, and how one can promote themselves. B2. Analyse visual messages from various channels B3. Identify the importance of creating an emotion through design work B4 . Think creatively and critically, and develop methods to communicate the core values of their work. B5. Utilize programs such as Illustrator and Photoshop as tools to digitally create designs B6 .Create a presentation portfolio
C. Practical and Professional Skills C1. Use the elements and principles taught in class to produce various types of images that demonstrate mastery of key skills C2 . Recognize and discuss the elements and principles of design, and employ them in their own work C3. Come up with, and design consistent visual identity systems that communicate the core of their identity C4 . Understand and apply the various tools of design, and demonstrate great knowledge in the tools available to them
D. Key Transferable Skills
D1. Applying the methods and principles taught in the course to evaluate visuals D2 . Understanding what makes or breaks a design D3. Create coherent and complete projects D4. Able to analyse what makes good design D5. Understand and explore various Design tools in order to excel and presenting their work and ideas D6. Create a professional portfolio
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GD323 Design Innovation and Entrepreneurship
(4) Credit Hours
This course is basically structure to explain what is entrepreneurship and how every innovative student can start his/her own business, how to carry it on, develop it wisely and prepare him/herself to launch into the next big thing.
Course Code |
GD323 |
Course Title |
Design Innovation and Entrepreneurship |
Pre-requisite |
|
Credit Hours |
4 |
Course Description |
This course is basically structure to explain what is entrepreneurship and how every innovative student can start his/her own business, how to carry it on, develop it wisely and prepare him/herself to launch into the next big thing. |
Course Objectives |
This module aims to - What entrepreneurship is about with live examples of entrepreneurs and business case studies.
- Develop a clear understanding of disruption in the business world, what innovation is and how to come up with new ideas and products.
- Lean Strategy and canvas.
- How to measure success (build -measure – learn)
- The nine building blocks of a business model.
- How to set business strategy, SWOT and PESTLE.
- The essential components of pitching your business ideas.
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Course Outcomes |
A. Knowledge and Understanding A1. Explain the principles of entrepreneurship, utilizing real-life examples of successful entrepreneurs and business case studies to develop a comprehensive understanding of the entrepreneurial mindset and the challenges and opportunities in the business world. A2. Define the concepts of disruption and innovation, demonstrating an understanding of how to generate new ideas and products while recognizing the significance of innovative thinking in business development.
B. Cognitive Skills B1. Apply lean strategy and canvas frameworks to analyze and refine business concepts, showcasing the ability to critically assess and develop innovative and sustainable business models. B2. Evaluate and apply key performance indicators and the "build-measure-learn" approach to measure the success and viability of entrepreneurial ventures, fostering critical thinking and data-driven decision-making in the entrepreneurial process.
C. Practical and Professional Skills C1. Develop practical skills in constructing and assessing business models, including the ability to identify and utilize the nine building blocks of a business model, and employ strategies like SWOT and PESTLE analysis for strategic business planning. C2. Apply effective techniques for pitching and presenting business ideas, demonstrating proficiency in articulating and communicating entrepreneurial concepts and opportunities to potential stakeholders.
D. Key Transferable Skills D1. Cultivate key transferable skills in entrepreneurial thinking, creativity, and problem-solving, enabling students to apply innovative and disruptive strategies to various business and professional contexts.
D2. Enhance communication and presentation skills, allowing students to effectively convey and pitch their entrepreneurial ideas and products to investors, partners, and potential customers, while developing a compelling business strategy.
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GM417 A Graduation Project – A
(4) Credit Hours
The first phase of the graduation project is designed to allow the student to decide on their graduation topic, investigate it through different research methodologies, and come up with a concept that they can translate in the phase 2 of the graduation project. The topic should provide tangible solution and deliverable so it can be approved by the evaluation committee.
Course Code |
GM417 A |
Course Title |
Graduation Project – A |
Pre-requisite |
|
Credit Hours |
4 |
Course Description |
The first phase of the graduation project is designed to allow the student to decide on their graduation topic, investigate it through different research methodologies, and come up with a concept that they can translate in the phase 2 of the graduation project. The topic should provide tangible solution and deliverable so it can be approved by the evaluation committee. |
Course Objectives |
- Specify their topic of interest and define their graduation project and create a Visual Identity
- Understand cultural limitations and sensitivities.
- Recognize the insights, needs and parameters of their chosen topic.
- Write a creative project brief
- Adopt and apply design strategies appropriate to the selected topic.
- Acquire advanced knowledge in pitch presentation.
- Offer a clear, concise, organized, & well-articulated presentation, both visually & orally
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Course Outcomes |
A. Knowledge and Understanding A1. Implement the creative process to the standards of professional competence. A2. Achieve higher level of detailed knowledge of any particular topic chosen for the graduation project. A3. Understand the impact and value of “good" design
B. Cognitive Skills B1. Value the importance of “Empathy" and user-centered design. B2. Develop levels of critical analysis and self-reflection in response to research. B3. Present appropriate range of solutions to design problems in a critical response to set briefs and discuss researched topics.
C. Practical and Professional Skills C1. Demonstrate creativity and technical proficiency in documentation and communication of design ideas and concepts. C2. Demonstrate research competencies Identify gaps, insights and generate solutions. C3. Write a creative brief/pitch.
D. Key Transferable Skills D1. Apply time management techniques to organize study time and resources. D2. Execute visual and spoken presentations. D3. Conduct, analyse and present, in a clear and structured manner, literature and primary research findings in an appropriate academic form of communication.
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GM417 B Graduation Project - B
(4) Credit Hours
The second phase of the graduation project is labelled under execution phase. The students have a whole semester to translate their theoretical and research phase into actual visuals, animation, productions, etc. The culmination of the work is presented to a jury of professional so they can evaluate the level of the work and the maturity of the thinking process as well as the technical aspects of the execution.
Course Code |
GM417 B |
Course Title |
Graduation Project - B |
Pre-requisite |
|
Credit Hours |
4 |
Course Description |
The second phase of the graduation project is labelled under execution phase. The students have a whole semester to translate their theoretical and research phase into actual visuals, animation, productions, etc. The culmination of the work is presented to a jury of professional so they can evaluate the level of the work and the maturity of the thinking process as well as the technical aspects of the execution. |
Course Objectives |
- Implementation of the proposed design strategy and demonstrating the resulting value addition. - Integration of a complete design experience, including the necessity to design a complete set of designs, integrate knowledge, exercising design judgement, planning to meet a schedule and to communicate in writing. - Completion of the creative project presentation - Application of the design strategies of the selected topic. - Presentation of a clear, concise, and well-articulated presentation, both visually and orally.
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Course Outcomes |
A. Knowledge and Understanding A1. Implement the creative process to the standards of professional competence. A2. Achieve higher level of detailed knowledge of their graduation project. A3. Understand the impact and value of “good” design.
B. Cognitive Skills B1. Value the importance of “Empathy” and usercentered design. B2. Develop levels of critical analysis and selfreflection in response to research. B3. Present appropriate range of solutions to design problems in a critical response to set briefs and discuss researched topics.
C. Practical and Professional Skills C1. Demonstrate creativity and technical proficiency in documentation and communication of design ideas and concepts. C2. Demonstrate research competencies Identify gaps, insights and generate solutions. C3. Write a creative brief/pitch.
D. Key Transferable Skills D1. Apply time management techniques to organize study time and resources. D2. Execute visual and spoken presentations. D3. Conduct, analyse and present, in a clear and structured manner, literature and primary research findings in an appropriate academic form of communication.
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GR101 Self Learning Skills
(3) Credit Hours
This Course aims at providing students with the necessary knowledge for self-learning and its psychological educational foundations that will provide students with a number of practical skills such as understanding, thinking, information processing, reading and writing, besides dealing with the information and self-learning technological skills, in addition to the adoption of self-learning strategies for life.
Course Code |
GR101 |
Course Title |
Self Learning Skills |
Pre-requisite |
|
Credit Hours |
3 |
Course Description |
This Course aims at providing students with the necessary knowledge for self-learning and its psychological educational foundations that will provide students with a number of practical skills such as understanding, thinking, information processing, reading and writing, besides dealing with the information and self-learning technological skills, in addition to the adoption of self-learning strategies for life. |
Course Objectives |
This Course aims at providing students with the necessary knowledge for self-learning and its psychological educational foundations that will provide students with a number of practical skills such as understanding, thinking, information processing, reading and writing, besides dealing with the information and self-learning technological skills, in addition to the adoption of self-learning strategies for life.
|
Course Outcomes |
Upon successful completion of GR101, students will be able to:
Explain the Psychological Foundations of Self-Learning - Describe the psychological theories and principles that underpin effective self-learning.
Develop Critical Thinking Skills - Apply critical thinking techniques to analyze and evaluate information from various sources.
Enhance Information Processing Abilities - Demonstrate efficient methods of processing and organizing information for better retention and application.
Improve Reading and Writing Skills - Utilize advanced reading strategies for comprehension and synthesis of complex texts.
- Employ effective writing techniques for clear and coherent expression of ideas.
Utilize Self-Learning Technological Tools - Identify and use appropriate technological tools and platforms that facilitate self-learning.
Adopt Self-Learning Strategies - Implement self-learning strategies that promote continuous personal and professional development.
Develop Lifelong Learning Habits - Cultivate habits and mindsets that support ongoing education and adaptability in various life contexts.
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GR118 Life Skills and Coexistence
(3) Credit Hours
This course deals with the abilities that enable individuals to engage in adaptive and positive behavior that makes them able to deal effectively with life's demands and challenges. It seeks to know the concept of skill and how to acquire and develop it, such as the skill of developing self-awareness, managing psychological stress, effective communication, solving problems and conflicts, leadership, and building work teams, in addition to presenting topics in pluralism and democracy, women’s rights, the subject of the Universal Declaration of Human Rights, and acceptance of... The other, coexistence and tolerance
Course Code |
GR118 |
Course Title |
Life Skills and Coexistence |
Pre-requisite |
|
Credit Hours |
3 |
Course Description |
This course deals with the abilities that enable individuals to engage in adaptive and positive behavior that makes them able to deal effectively with life's demands and challenges. It seeks to know the concept of skill and how to acquire and develop it, such as the skill of developing self-awareness, managing psychological stress, effective communication, solving problems and conflicts, leadership, and building work teams, in addition to presenting topics in pluralism and democracy, women’s rights, the subject of the Universal Declaration of Human Rights, and acceptance of... The other, coexistence and tolerance |
Course Objectives |
- A deep understanding of the concept of skill and its importance in shaping adaptive and positive behavior. - Acquiring and developing self-awareness and psychological stress management skills. - Enhancing effective communication skills. - Developing problem-solving and conflict management skills. - Enhancing understanding of leadership skills and building work teams. - Providing concepts and skills of coexistence and tolerance. - Reviewing issues of pluralism and democracy. - Promoting women’s rights and promoting equality in society. - Promoting awareness of the Universal Declaration of Human Rights. - Encouraging students to accept others regardless of differences.
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Course Outcomes |
Upon successful completion of GR118, students will be able to: Understand and Develop Key Skills - Define the concept of skill and explain methods for acquiring and developing essential life skills.
Enhance Self-Awareness - Apply techniques to develop self-awareness and understand personal strengths and weaknesses.
Manage Psychological Stress - Utilize strategies for managing psychological stress effectively in various life situations.
Communicate Effectively - Demonstrate effective communication skills, including active listening and clear expression of ideas.
Solve Problems and Resolve Conflicts - Employ problem-solving and conflict resolution techniques to address and manage disputes and challenges.
Develop Leadership Abilities - Exhibit leadership skills by leading and motivating others in different settings.
Build and Manage Work Teams - Form and manage effective work teams, fostering collaboration and teamwork.
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GR77 Skills for Success
(1) Credit Hours
This course focuses on providing the necessary knowledge and tools for students to enhance their soft skills and hence their growth journey by channeling their efforts in the most efficient way towards success.
Course Code |
GR77 |
Course Title |
Skills for Success |
Pre-requisite |
EL111 |
Credit Hours |
1 |
Course Description |
This course focuses on providing the necessary knowledge and tools for students to enhance their soft skills and hence their growth journey by channeling their efforts in the most efficient way towards success. |
Course Objectives |
- Be able to regroup and focus their energy, by developing effective learning strategies, and benefiting from their time and available resources.
- Capitalize on the techniques and tools this module offers (self-learning tools, note taking skills, test taking skills, organizing skills...) to become independent self-learners.
- Become familiar with emotional intelligence through Daniel Goleman's theories, as well as the concept of growth mindset, and build on both pathways to achieve growth and success.
- Differentiate the types of intelligences. They will be able to identify own learning style based on most dominant intelligences.
- Be able to identify the styles of communication they adopt in different conversations as well as the other parties' styles and acknowledge the impact on the style they use on their conversations and on their surroundings.
- Acquire the tools to communicate their ideas in a more consistent, clear and powerful way.
- Have a wider insight on the most respectful and efficient means to participate in a group conversation.
- Address difficult situations in a healthier and more constructive way, without feeling overwhelmed.
- Define a problem, determining the causes behind it, identify and select alternatives for a solution and implement them.
- Understand the concept of conflict, its reasons and resolution options.
- Improve focus and attention and open up to new ways to release stress caused by daily life struggles.
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Course Outcomes |
- Decision making skills
- Methods of notetaking and summarization (Cornell's method…)
- Test taking and studying strategies.
- Growth mindset concept and growth mindset strategies.
- Introduction to emotional intelligence by Daniel Goleman.
- Multiple intelligence concept: Gardner's theory on types of intelligences. Leaning styles.
- The four basic styles of communication and their impacts on the conversations' directions.
- Techniques to communicate more effectively.
- The concept of the mind.
- The concept of empathy: the importance of empathy in creating a better social reality and the main strategies to enhance the empathic skills.
- Problem solving strategies and means for addressing difficult situations
- Definition of conflict and conflict resolution.
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GR99 Learning with Technology
(1) Credit Hours
This course introduces the students to e-Learning concepts such as meaning, accessibility, skills, and resources using the newest Information technologies in their learning journey. Students will become Familiar with accessing the needed educational technologies and learning how to use them effectively. It also provides students the crucial college level academic experiences that develop self-learning skills.
Course Code |
GR99 |
Course Title |
Learning with Technology |
Pre-requisite |
EL099 |
Credit Hours |
1 |
Course Description |
This course introduces the students to e-Learning concepts such as meaning, accessibility, skills, and resources using the newest Information technologies in their learning journey. Students will become Familiar with accessing the needed educational technologies and learning how to use them effectively. It also provides students the crucial college level academic experiences that develop self-learning skills. |
Course Objectives |
This module aims to:
- Introduce e-Learning concepts such as meaning, accessibility, skills, and resources.
- Help students to develop their understanding about flexible learning.
- Prepare the student for further academic studies by helping them develop their study skills.
- Enhance student's knowledge about basic computer system applications, big data, IoT and AI.
- Familiarize with the basic concepts of MS Office suite.
|
Course Outcomes |
A. Knowledge and understanding At the end of the module, learners will be expected to: A1. Define the different learning styles. A2. Describe the differences between conventional and blended-learning education systems. A3. Understand how to create learning opportunities that are adapted to learners A4. Understand the development of learning strategies to promote effective learning. A5. Understand the basic concepts of the MS Office suite. A6. Explain different terms in digital communication such as network, connectivity, wireless, and IoT.
B. Cognitive skills At the end of the module learners will be expected to: B1: Learn by themselves and describe the difference between learning styles. B2: Apply problem-solving techniques. B3: Compare different learning strategies. B4: Apply skills needed for effective learning. B5: Use an understanding of individual and group behavior to create an active learning environment. B6: Deal with computer problems.
C. Practical and professional skills At the end of the module, learners will be expected to: C1: Read analytically and critically for learning and avoid plagiarisms. C2: Connect and surf the internet, search using the search engines and send and receive email, and share files in a secure way, and avoid computer crime and use computer ethically. C3: Organize and manage a plan for optimal learning. C4: Enhance the learning environment by incorporating the use of technological equipment. C5: Operate the computer system properly and interact with applications and programs confidently. C6: Communicate with others electronically. D. Key transferable skills At the end of the module, learners will be expected to: D1: Interact effectively within a group using social media and electronic conferencing techniques. D2: Working in groups using the LMS system and course forum online and contribute to discussions on a conference using instant messaging. D3: Improve own learning and performance. D4: Work independently, scheduling (schedule) tasks and mange time effectively. D5: Utilize effective environments for learning. D6: Take responsibility for personal and professional learning. D7: Manage learning time effectively
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GT101 Learning and Information Technology
(3) Credit Hours
Learning and Information Technology is a fundamental module for all students enrolled in Arab Open University. It provides students a college level academic experiences that develop self-learning skills. It also provides students with a broad introduction to computing and Information Technology concepts and principles.
Course Code |
GT101 |
Course Title |
Learning and Information Technology |
Pre-requisite |
- |
Credit Hours |
3 |
Course Description |
Learning and Information Technology is a fundamental module for all students enrolled in Arab Open University. It provides students a college level academic experiences that develop self-learning skills. It also provides students with a broad introduction to computing and Information Technology concepts and principles. |
Course Objectives |
The module aims to:
- Introduce e-Learning concepts such as meaning, accessibility, skills, and resources.
- Help students to develop their understanding about flexible learning.
- Prepare the student for further academic studies by helping them develop their study skills.
- Enhance student’s knowledge about basic computer system applications, big data, IoT and AI.
- Familiarize with the basic concepts of Information Technology: Internet, Web, and Systems.
- Introduce students to the concepts of security and ethics.
|
Course Outcomes |
A. Knowledge and understanding
Students will be able to:
- Define the different learning styles.
- Describe the differences between conventional and blended-learning education systems.
- Understand how to create learning opportunities that are adapted to learners.
- Understand the development of learning strategies to promote effective learning.
- Explain the Web and Internet inventions.
- Explain different parts in computer system.
- Explain different terms in digital communication such as network, connectivity, wireless, server, client and IoT.
- Describe the e-commerce and big data.
- Understand clearly the difference between privacy and security.
- Describe what are computer ethics and computer crime.
B. Cognitive skills
Students will be able to: - Learn by themselves and describe the difference between learning styles.
- Apply problem-solving techniques.
- Compare different learning strategies.
- Apply skills needed for effective learning.
- Use an understanding of individual and group behavior to create an active learning environment.
- Deal with computer problems.
- Describe the Web and search engines.
C. Practical and professional skills
Students will be able to:
- Read analytically and critically for learning and avoid plagiarisms.
- Connect and surf the internet, search using the search engines and send and receive email, and share files in a secure way, and avoid computer crime and use computer ethically.
- Organize and manage a plan for optimal learning.
- Enhance the learning environment by incorporating the use of technological equipment.
- Operate the computer system properly and interact with applications and programs confidently.
- Communicate with others electronically (Email, instant messaging, blogs, microblogs and wikis) and Initiate a transaction electronically (e-commerce) in a secure way and use the social media in the process of learning and communication with others.
D. Key transferable skills
Students will be able to:
- Interact effectively within a group using social media and electronic conferencing techniques.
- Working in groups using the LMS system and course forum online and contribute to discussions on a conference using instant messaging.
- Improve own learning and performance.
- Work independently, scheduling (schedule) tasks and mange time effectively.
- Utilize effective environments for learning.
- Take responsibility for personal and professional learning.
- Manage learning time effectively.
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LM102 Mathematics for Graphic Design
(3) Credit Hours
This course contains Math Foundations - Linear Equations - Solving and Graphing Inequalities - Graphing and Factoring Quadratic Equations-Complex and Imaginary Numbers - Properties of Exponents - Properties of Polynomials - Simplifying and Solving Rational Expressions - Properties of Functions - Logarithms and Exponential Equations - Logic - Sets - Probability and Statistics - Geometry.
Course Code |
LM102 |
Course Title |
Mathematics for Graphic Design |
Pre-requisite |
|
Credit Hours |
3 |
Course Description |
This course contains Math Foundations - Linear Equations - Solving and Graphing Inequalities - Graphing and Factoring Quadratic Equations-Complex and Imaginary Numbers - Properties of Exponents - Properties of Polynomials - Simplifying and Solving Rational Expressions - Properties of Functions - Logarithms and Exponential Equations - Logic - Sets - Probability and Statistics - Geometry. |
Course Objectives |
The primary objective of this course is to provide students with a comprehensive understanding of fundamental mathematical concepts and techniques.
The course aims to equip students with the skills necessary to solve and graph linear and quadratic equations, understand complex and imaginary numbers, and apply the properties of exponents, polynomials, rational expressions, functions, logarithms, and exponential equations. Additionally, students will explore topics in logic, sets, probability and statistics, and geometry to build a strong mathematical foundation applicable to various real-world contexts
|
Course Outcomes |
A. Knowledge and Understanding- Understand and apply the principles of linear equations and inequalities, including solving and graphing techniques.
- Comprehend the properties of quadratic equations and master techniques for graphing and factoring them.
- Gain a solid understanding of complex and imaginary numbers and their applications.
- Learn the properties of exponents and polynomials, including simplification and solving methods.
- Understand the principles of rational expressions and techniques for simplifying and solving them.
- Comprehend the properties of functions and their significance in various mathematical contexts.
- Master the concepts of logarithms and exponential equations and their applications.
- Understand the basics of logic, sets, probability, and statistics, and their importance in mathematical reasoning.
- Gain knowledge of fundamental geometric principles and their applications.
B. Cognitive Skills- Develop problem-solving skills by applying mathematical principles to solve linear, quadratic, and complex equations.
- Analyze and interpret mathematical data using principles of probability and statistics.
- Apply logical reasoning to understand and solve mathematical problems involving sets and logic.
- Develop critical thinking skills by evaluating and synthesizing mathematical concepts across various topics.
- Engage in abstract thinking to comprehend complex mathematical ideas and their interrelationships.
C. Practical and Professional Skills- Solve and graph linear and quadratic equations using appropriate mathematical techniques.
- Factor quadratic equations and simplify complex and rational expressions effectively.
- Apply the properties of exponents, polynomials, and functions in practical mathematical problems.
- Use logarithms and exponential equations to solve real-world mathematical scenarios.
- Conduct probability and statistical analyses to interpret and present data accurately.
- Apply geometric principles to solve practical problems in various fields.
D. Key Transferable Skills- Enhance analytical skills through solving diverse mathematical problems.
- Develop effective communication skills by presenting mathematical solutions clearly and logically.
- Cultivate teamwork skills by collaborating on mathematical projects and problem-solving activities.
- Improve time management and organizational skills through structured learning and practice.
- Strengthen adaptability and lifelong learning skills by engaging with a broad range of mathematical topics and challenges.
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M109 .NET Programming
(3) Credit Hours
This module is intended to introduce and present the fundamental skills that are required to design and develop object-oriented programs and applications in .NET Framework
Course Code |
M109 |
Course Title |
.NET Programming |
Pre-requisite |
- |
Credit Hours |
3 |
Course Description |
This module is intended to introduce and present the fundamental skills that are required to design and develop object-oriented programs and applications in .NET Framework |
Course Objectives |
- To understand the .NET framework architecture.
- To provide students with a range of skills to analyze a problem and construct a .NET program that solves it.
- To provide the principles of object oriented programming.
- To implement object-oriented concepts in .NET environment.
- To understand the Visual Studio Integrated Development Environment
- To develop .NET applications using the selected programming language.
|
Course Outcomes |
A. Knowledge and understanding
- Explain .NET Platform.
- Describe data types, variables, constants, operators and built-in functions in the selected .NET programming language.
- Discuss decision-making and looping statements.
- Explain object oriented concepts such as classes, objects and methods.
- Describe the features of object oriented programming such as Inheritance and Polymorphism.
- Explain the concept of arrays.
- Identify errors and different types of exceptions in a .NET program.
B. Cognitive skills
Upon completing this module, students will be able to: - Develop appropriate programs in .NET framework.
- Apply object oriented concepts in .NET framework.
- Test and debug a .NET program
C. Practical and professional skills
Upon completing this module, students will be able to: - Develop programming skills in .NET platform.
- Use variables, constants, operators, built-in functions, methods and arrays in a .NET program.
- Write codes in a .NET programming language that make use of structured programming constructs of sequence, selection and repetition.
- Apply classes, objects and other object oriented concepts such as inheritance and polymorphism in a .NET program.
- Test and debug .NET programs.
- Use the Visual Studio IDE to build .NET applications using the selected .NET programming language.
D. Key transferable skills
Upon completing this module, students will be able to: - Collaborate effectively within a group using electronic conferencing techniques.
- Facilitate discussions in a conference.
- Develop self- learning and performance.
- Discuss about testing strategies, design, and code.
- Use electronic media (the web and electronic conferencing) for information retrieval and communication.
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M110 Python Programming
(8) Credit Hours
This module is an introductory level programming module that is meant to provide a foundation in computer programming to students. Students will learn how to develop solutions (algorithms) using pseudocode to solve problems. Thereafter, students will learn how to implement these solutions using a programming language (Python). This module serves as the foundation for higher-level modules.
Course Code |
M110 |
Course Title |
Python Programming |
Pre-requisite |
|
Credit Hours |
8 |
Course Description |
This module is an introductory level programming module that is meant to provide a foundation in computer programming to students. Students will learn how to develop solutions (algorithms) using pseudocode to solve problems. Thereafter, students will learn how to implement these solutions using a programming language (Python). This module serves as the foundation for higher-level modules. |
Course Objectives |
This module aims to:
• Help student to develop their understanding of the available techniques of designing / solving different problems using pseudocode. • Explore a variety of algorithmic thinking and problem-solving skills using examples from everyday life. • Enhance student’s knowledge about implementing solutions to problems in a visual programming using Python. • Provide the students with the required skills to possess the programming skills. • Prepare the student for further academic study by helping him develop his study skills.
|
Course Outcomes |
A. Knowledge and understanding
After studying the module, learners will be able to: - Understand the design and programming processes.
- Know how to implement solutions to problems using Python programming language.
- Understand the techniques used in developing a medium Python application.
- Understand of the basic data structures.
- Appreciate the implications of object-oriented software analysis and design.
B. Cognitive skills At the end of the module, learners will be able to: - Describe and apply key concepts and techniques in software design and development.
- Design and formulate an appropriate solution to a problem and evaluate it.
- Deal professionally with the basic data structures.
- Carry out a project in computing and IT that applies and extends student's knowledge and understanding, and critically reflect on the processes involved and the outcomes of learner's work
C. Practical and professional skillsAt the end of the module, learners will be able to: - Assemble, program, develop, and evaluate software systems.
- Use software tools for good design and programming practice.
- Use appropriate numerical and mathematical skills to carry out calculations and analyze data.
- Work independently, planning, monitoring, reflecting on and improving learner's own learning.
D. Key transferable skills At the end of the module, learners will be able to: - Evaluate computing and IT systems, using appropriate simulation and modelling tools where appropriate
- Use a range of resources to help him develop as an independent learner.
- Use information literacy skills, computers, and software packages appropriate to the workplace.
- Use appropriate numerical, mathematical and abstraction skills.
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M115 Python for ML and DS
(3) Credit Hours
Python is a powerful cross-platform and open-source programming language that is very popular in the fields of data analysis and machine learning, finance, and web development. It is a versatile language and platform that contains the most mature package libraries around. This module is intended to provide students with a good understanding of Python programming language starting from understanding the fundamental features of the Python programming language and writing procedural, object oriented and functional programs, covering main Python packages (Built in, imported) for data science and Machine learning. Students will learn how to use Python to solve real world data science problems including statistical analysis and computational techniques. Students will be shown the special features of Python that makes it especially useful and productive to support the full pipeline of Machine Learning and Data Analysis Scientist.
Course Code |
M115 |
Course Title |
Python for ML and DS |
Pre-requisite |
|
Credit Hours |
3 |
Course Description |
Python is a powerful cross-platform and open-source programming language that is very popular in the fields of data analysis and machine learning, finance, and web development. It is a versatile language and platform that contains the most mature package libraries around. This module is intended to provide students with a good understanding of Python programming language starting from understanding the fundamental features of the Python programming language and writing procedural, object oriented and functional programs, covering main Python packages (Built in, imported) for data science and Machine learning. Students will learn how to use Python to solve real world data science problems including statistical analysis and computational techniques. Students will be shown the special features of Python that makes it especially useful and productive to support the full pipeline of Machine Learning and Data Analysis Scientist.
|
Course Objectives |
The module aims to enable the students to: • Explore the Python packages and to develop new specially designed libraries. • Use the power of Python to gather data, discover data, analyse data, create beautiful visualizations. And use powerful machine learning algorithms including training, tuning, validation, testing and launching. • Developing methods of recording, storing, and analysing data to effectively extract useful information and to explore some basic machine learning concepts and load data to make predictions • Demonstrate skills in technical report writing for data analysis and machine learning models and projects. • Work with different data representations including basic data sources and formats, xlsx., CSV, XML, JSON, Databases using Python packages. • Be confident working with data of different types and representing data for analysis and applying machine learning models through the forms of statistics, visualisations and storytelling. • Feel comfortable to develop well-designed non-trivial Python applications to solve real life problems that use the available data in the age of communication and big data. • Gain career skills in one of the world’s most popular programming languages
|
Course Outcomes |
A. Knowledge and understanding
At the end of the module, learners will be expected to: - Understand the role that programming plays in a Machine Learning, Data Science and Business Analytics context.
- Describe the main features and advantages of Python against other high level programming languages especially in Machine learning and data analysis.
- Understand the structural, functional and OOP programming schemes in Python including assignments, statements, iterators and objects, modules
- Write structured code based on short routines with a clear purpose and interfaces that are simple and unambiguous.
B. Cognitive skills At the end of the module learners will be expected to: - Describe and differentiate between existing tools for scientific programming including the main Python packages such as NumPy, Pandas, SciPy, Matplotlib and SciKit-Learn, Seaborn, based on the documentation.
- Apply knowledge and understanding to design, formulate, solve and evaluate hands-on problems in the field of data science and machine learning.
- Assess the requirements and make appropriate programming choices in the field of data science and machine learning.
- Import and process any type of data using Python
- Write self-documenting code using docstrings and comments.
- Be confident writing, testing, and debugging procedural and functional programmes in Python in the field of data science and machine learning.
C. Practical and professional skills
At the end of the module, learners will be expected to: - Apply self and continuous learning skill to surf different resources to solve programming issues and bugs.
- Apply Python and different techniques to develop simple and complex software solutions to real-life problems of different scales and applications.
- Use software tools such as a Pycharm, Jupyter, Google CoLab notebooks and other IDEs.
- Use good design and programming practice
- Write user and technical manuals, and documentation.
D. Key transferable skills
At the end of the module, learners will be expected to: - Apply a structured approach to problem solving, including analytical, problem-solving, appropriate numerical, mathematical, and abstraction skills and tasks.
- Show a confident level of Interpersonal, organizational, and planning skills to deal with projects' teams and groups.
- Show story telling skills by applying Oral and Written communication skills
- Show project leadership and self-motivation skills including the project timeline schedules.
- Find information from a range of sources to support a task.
- Use external Python libraries and build special libraries.
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M140 Introducing Statistics
(8) Credit Hours
This module emphasizes the practical side of the subject introduction to statistics, along with the theoretical principles. Open sources software and calculators are used to analyze data and develop students’ understanding of statistical concepts. The module covers exploratory methods for summarising data, examining relationships, randomness and sampling distributions, probability, testing hypotheses, and estimation. Students are assumed to have mathematical competencies at the beginners’ level.
Course Code |
M140 |
Course Title |
Introducing Statistics |
Pre-requisite |
|
Credit Hours |
8 |
Course Description |
This module emphasizes the practical side of the subject introduction to statistics, along with the theoretical principles. Open sources software and calculators are used to analyze data and develop students’ understanding of statistical concepts. The module covers exploratory methods for summarising data, examining relationships, randomness and sampling distributions, probability, testing hypotheses, and estimation. Students are assumed to have mathematical competencies at the beginners’ level.
|
Course Objectives |
The module aims to:
- Provide students with a framework that will help them choose the appropriate descriptive methods in various data analysis situations.
- Analyse distributive and relationship of real-time data.
- Make acquainted with concepts of random variables and finding appropriate distribution for analysing data specific to an experiment.
- Develop the understanding of mathematical expectations and moment generating functions.
- Impart knowledge and understanding of discrete and continuous probability distributions.
- Ensure the understanding of testing hypotheses, and estimation.
- Demonstrate R programming statistical data.
|
Course Outcomes |
A. Knowledge and understanding At the end of the module, learners will be expected to: - Use a variety of methods for exploring, summarizing and presenting data.
- Realize methodologies for data analysis such as normal linear models, including simple regression.
- Define and the concepts and rules of Probability.
B. Cognitive skills At the end of the module learners will be expected to: - Apply mathematical and statistical manipulation and calculation on choices of model and analyses resulting from them.
- Assemble relevant information for proofs and construct appropriate mathematical arguments, and exercise judgment in selection and application of a wide range of mathematical and statistical tools and techniques.
- Create appropriate mathematical and statistical models and draw justifiable inferences
C. Practical and professional skills At the end of the module, learners will be expected to: - Apply mathematical and statistical concepts and principles.
- Analyse and evaluate criteria and specifications appropriate to specific problems and plan strategies for their solutions.
- Use information technology with confidence to acquire and present mathematical and statistical knowledge and data, to model and solve problems and to develop mathematical and statistical insight.
- Develop and use mathematical resources effectively with learners.
D. Key transferable skills
At the end of the module, learners will be expected to: - Apply statistical modelling and analysis techniques to a wide range of practical problems.
- Analyse and to evaluate practical problems involving statistical data and plan strategies for their solution.
- Use mathematical and statistical software with confidence.
- Communicate in writing about statistical and probability modelling, communicate relevant information accurately and effectively, using a form, structure and style that suits the purpose.
- Acquire further knowledge with little guidance or support.
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M218 Relational Databases
(4) Credit Hours
Database technologies are integral part of most information systems and hence their study is of paramount importance. SQL (or Structured Query Language) is a powerful language which is used for communicating with and extracting data from databases. To become a data scientist, a working knowledge of databases and SQL is a requirement.
Course Code |
M218 |
Course Title |
Relational Databases |
Pre-requisite |
|
Credit Hours |
4 |
Course Description |
Database technologies are integral part of most information systems and hence their study is of paramount importance. SQL (or Structured Query Language) is a powerful language which is used for communicating with and extracting data from databases. To become a data scientist, a working knowledge of databases and SQL is a requirement. |
Course Objectives |
The course aims to develop database skills based on a sound understanding and appropriate application of the underpinning theory. On completing the course students will understand database theory and practice when implementing a database to meet stated requirements. In order to achieve this, the course aims to
- provide an explanation of the concepts underlying all relational databases as well as practical experience in applying the concepts in different situations.
- provide a theoretical basis for relations underpinning their application in relational databases.
- Design a conceptual data model using an entity-relationship diagram
- Convert the conceptual model to a valid relational representation
- Implement a data model in a RDBMS using standard SQL
- Develop an understanding of the database language SQL and ability to make complex queries.
- Develop an understanding of SQL security model and be able to implement security requirements.
|
Course Outcomes |
A. Knowledge and understanding At the end of the module, learners will be able to:
A1. Recognize and articulate the principles, concepts and techniques associated with relational databases and the process of database development. A2. Demonstrate knowledge and understanding to design a data model using an entity-relationship diagram A3. Develop an understanding of the database language SQL and ability to make complex queries A4. Illustrate data models in a RDBMS using standard SQL A5. Understand SQL security model and be able to implement security requirements
B. Cognitive skills At the end of the module learners will have developed the following cognitive skills:
B 1. Interpret and develop an Entity-Relationship (E-R) data model for a given set of requirements. B 2. Asses security threats and evaluate measures to counter them. B 3. Formulate SQL statements to retrieve and manage data. B 4. Design and develop practical database system, in particular, be able to discuss, explain, and apply the relational model and mappings from conceptual designs to normalized relational representations.
C. Practical and professional skills At the end of the module, learners will be able to:
C1. Create and manage a database in an SQL environment, including the manipulation and extraction of database content to meet requirements. C2. Analyze a wide range of database design issues and provide solutions through suitable design, structures, diagrams, and other appropriate design methods. C3. Apply legal and ethical principles of data management to database design, implementation and administration.
D. Key transferable skills
At the end of the module, learners will be able to:
D1. Communicate effectively in writing about databases technologies, using appropriate notations and terminology. D2. Draw on a wide variety of materials in order to progress further learning. D3. Organize their own learning to the point that they are ready to continue learning after they graduate.
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M238 Data Visualization
(4) Credit Hours
Data Visualisation is an important aspect of Data Science that enables the extraction of useful and meaningful insights from data. All Data Science projects should use data visualisations to enrich them. All types of data visualisation techniques are important and help students and learners to extract better insights about the data. Applying data visualization techniques to difficult and challenging data analysis problems help in better understanding of these problems. This is a mandatory module in the Data Science programme.
Course Code |
M238 |
Course Title |
Data Visualization |
Pre-requisite |
|
Credit Hours |
4 |
Course Description |
Data Visualisation is an important aspect of Data Science that enables the extraction of useful and meaningful insights from data. All Data Science projects should use data visualisations to enrich them. All types of data visualisation techniques are important and help students and learners to extract better insights about the data. Applying data visualization techniques to difficult and challenging data analysis problems help in better understanding of these problems. This is a mandatory module in the Data Science programme.
|
Course Objectives |
This module aims to give students: • The skills necessary to be effective Data Storytellers. They will learn how to locate and download datasets, extract insights from that data and present their findings in a variety of different visual formats. Students will learn how to “connect the dots” in a dataset through visual data analysis and find the narrative thread that both explains what’s going on and engages their audience in a story about the data. • The principles of how to tell data stories in different ways for different audiences and stakeholders. • The key techniques and theory used in visualization, including data models, graphical perception and techniques for visual encoding and interaction. • Exposure to a number of common data domains and corresponding analysis tasks, including multivariate data, networks, text and cartography. • Practical experience building and evaluating visualization systems.
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Course Outcomes |
A. Knowledge and understanding At the end of the module, learners will be expected to: - Define data visualization (versus information graphics, or information visualization) and explain the differences in visualization purposes, from exhibitory to exploratory and explanatory.
- Identify the most appropriate visualization strategy given the result of a data analysis process and an intended communication objective.
- Identify instances where general guidelines should be broken, and provide practical and theoretically informed arguments supporting their design decisions.
- Identify deceptive usage of visual communication, or unintentionally misleading graphical representations of data (evidence).
- Demonstrate critical thinking skills associated with problem identification, problem solving and decision-making, assessing value propositions supported by data, and generating a logical synthesis of information from data.
- Understand how Cultures of Practice influence the way data may be collected, described, or formatted in order to align their own data management practices with those of their discipline.
B. Cognitive skills At the end of the module learners will be expected to: - Produce alternative visualizations for the same message, compare their relative strengths and weaknesses, and make a motivated choice for the preferred one given the intended communication outcome.
- Apply the most common techniques for analysing data, and also become more in-tune with ethical considerations and how not to visualize data.
- Merge approaches to visualization with design principles to reveal patterns in data and present information from a human-centred perspective.
- Use a range of analogue and digital tools and techniques to translate the meaning of data into comprehensible visual or experiential content.
C. Practical and professional skills At the end of the module, learners will be expected to: - Retrieve, select and evaluate information from a variety of sources.
- Explore methods for perpetually expanding the truthfulness of their models when abstracting data from the real world.
- Prepare professional business reports and make effective client reports of their work.
- Apply data visualization best practices to their work, including choosing the right chart type for the situation and avoiding visualization techniques that can mislead an audience.
- Properly document and organize data and visualizations in order to prepare them for reuse.
D. Key transferable skills
At the end of the module, learners will be expected to: - Follow a checklist of established design guidelines when building a visualization to account for human perception, communicating uncertainty, and reducing potential miscommunication.
- Generalize standard visualization techniques and customize them to better fit the visual literacy and/or intended communication outcome for a particular audience with domain-specific problems.
- Effectively communicate insights about data in various formats, including oral presentations, written reports and interactive visualizations.
- Communicate effectively through graphical presentations, the spoken word and written reports.
- Work as an individual to seek solutions to problems, with minimal guidance.
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M251 Object Oriented Programming using Java
(8) Credit Hours
This module is intended to provide students a good understanding of object-oriented principles, including inheritance, polymorphism, class libraries, interacting objects, and the unified modelling language (UML). It uses the JAVA language to illustrate theses principles.
Course Code |
M251 |
Course Title |
Object Oriented Programming using Java |
Pre-requisite |
- |
Credit Hours |
8 |
Course Description |
This module is intended to provide students a good understanding of object-oriented principles, including inheritance, polymorphism, class libraries, interacting objects, and the unified modelling language (UML). It uses the JAVA language to illustrate theses principles. |
Course Objectives |
- Introduce all aspects of object-oriented principles
- Identifying and implementing class relationships using abstract classes, interfaces and inheritance
- Provide knowledge in using simple UML class diagrams
- Describe how these concepts are implemented in java
- Provide knowledge in how to explore the JAVA API and to develop your own
- Provide the knowledge necessary to construct java programs
- Describe a number of the advanced facilities of java including exceptions
- Show how java can be used in developing non-trivial programs
- Introduce good design and programming practice
|
Course Outcomes |
A. Knowledge and understanding
After studying the module, the student will be able to demonstrate: - An understanding of the object-oriented principles
- Some knowledge of the main constructs and mechanisms in Java
- An appreciation of the implications of object oriented software analysis and design
- An understanding of the techniques used in developing a large Java program
B. Cognitive skills
After studying the module, the student will be able to: - Describe and apply key concepts and techniques in software design and development
- Analyze and abstract away from the details of a problem
- Design and formulate an appropriate solution to a problem and evaluate it
C. Practical and professional skills
After studying the module, the student will be able to: - Assemble, program, develop, debug, test and evaluate software systems
- Use software tools such as a Java IDE
- Use good design and programming practice
- Develop and implement class relationships
D. Key transferable skills
After studying the module, the student will be able to: - Find information from a range of sources to support a task
- Plan complex tasks
- Use new Java libraries
- Use appropriate numerical, mathematical and abstraction skills
- Progress to more advanced level studies
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M269 Algorithms, Data structures and Computability.
(8) Credit Hours
One of the basic pillars of advanced computing projects consists of the set of proper algorithms used to solve not only traditional but also unconventional IT problems. With the huge amount of data embedding the new data science, being skilled in setting proper data structure, managing and understanding computability techniques become a must nowadays. M269 is one of the most important modules for information technologies and computing related majors and tracks. The underlying concepts of this module are implemented using the python programming language.
Course Code |
M269 |
Course Title |
Algorithms, Data structures and Computability. |
Pre-requisite |
- |
Credit Hours |
8 |
Course Description |
One of the basic pillars of advanced computing projects consists of the set of proper algorithms used to solve not only traditional but also unconventional IT problems. With the huge amount of data embedding the new data science, being skilled in setting proper data structure, managing and understanding computability techniques become a must nowadays. M269 is one of the most important modules for information technologies and computing related majors and tracks. The underlying concepts of this module are implemented using the python programming language. |
Course Objectives |
- Provide the students with the required skills to possess the computational thinking. These skills start by proper understanding and analyzing the problems to be solved and end by providing computer programs that solve these problems.
- One of the important aspects of this module is to provide the students with the awareness of the limits of computation and the ability to decide which problems can and which cannot be solved efficiently with computers.
|
Course Outcomes |
A. Knowledge and understanding
Upon completing this module, students will be able to: - Identify and define the sets, functions and logic, and their application in the design, implementation and analysis of computer-based systems.
- Define and recognize Data structure and computational problematic.
B. Cognitive skills
Upon completing this module, students will be able to: - Explain, construct and use algorithms and data structures to solve computational problems.
- Describe and assess the difficulty of computational problems.
- Analyse algorithms and computational problems making use of several informal proof techniques
C. Practical and professional skills
Upon completing this module, students will be able to: - Use the Python programming language to implement algorithms.
- Write a short report which is based on one or more sources and which has a well-argued conclusion.
D. Key transferable skills
Upon completing this module, students will be able to: - Apply appropriate computational problem-solving techniques to a range of problems;
- Apply computational thinking skills to solve problems across a range of application areas.
- Discuss the questions 'What is computation?' and 'What are its limits?', and explain how the answers to these questions have important implications for the practical use of computer-based systems.
|
M348 Applied statistical modelling
(8) Credit Hours
This 30 point level 3 module is designed to build on the statistical modelling taught at L1 (in M140) and L2 (in MT248). Whilst M348 is intended to be a replacement for M346 Linear statistical modelling, it will have a new focus and serve a broader range of students. The main statistical theme running throughout M346 is that of linear and generalised linear modelling. These statistical modelling techniques are widely used by statisticians and are of utmost importance to anyone modelling and analysing large and complex datasets. In M348 the software package will be R. R is a popular statistical software package used around the world in academia and in industry, particularly by data scientists. R is a command line based package and hence is associated with steeper learning curve than GUI-based packages such as GenStat. To mitigate this it is planned to mediate the use of R through Jupyter notebooks. These electronic documents allow executable R code to be embedded amongst explanatory text. Furthermore this executable code can either be set to be modifiable by students, enabling them to learn by adapting examples, or to be locked (and if desired hidden) thus not distracting students with code extraneous to a teaching point but nevertheless required. Also by providing a means for students to present results and conclusions alongside the code used to generate them they provide a means for tutors to gain a greater understanding of what a student is trying to do and hence put tutors in a better position to give appropriate feedback.
Course Code |
M348 |
Course Title |
Applied statistical modelling |
Pre-requisite |
|
Credit Hours |
8 |
Course Description |
This 30 point level 3 module is designed to build on the statistical modelling taught at L1 (in M140) and L2 (in MT248). Whilst M348 is intended to be a replacement for M346 Linear statistical modelling, it will have a new focus and serve a broader range of students. The main statistical theme running throughout M346 is that of linear and generalised linear modelling. These statistical modelling techniques are widely used by statisticians and are of utmost importance to anyone modelling and analysing large and complex datasets. In M348 the software package will be R. R is a popular statistical software package used around the world in academia and in industry, particularly by data scientists. R is a command line based package and hence is associated with steeper learning curve than GUI-based packages such as GenStat. To mitigate this it is planned to mediate the use of R through Jupyter notebooks. These electronic documents allow executable R code to be embedded amongst explanatory text. Furthermore this executable code can either be set to be modifiable by students, enabling them to learn by adapting examples, or to be locked (and if desired hidden) thus not distracting students with code extraneous to a teaching point but nevertheless required. Also by providing a means for students to present results and conclusions alongside the code used to generate them they provide a means for tutors to gain a greater understanding of what a student is trying to do and hence put tutors in a better position to give appropriate feedback. |
Course Objectives |
The module aims to: - Enable students to be familiar with the concept of statistical modelling and be able to put this into practise by fitting simple linear regression models.
- Expand students’ knowledge of statistical modelling to a framework that encompasses simple linear regression as a special case: linear models and, beyond them, generalised linear models. In doing so it will vastly increase the range of models that students are able to fit to data.
- Develop students’ more general modelling skills such as describing and interpreting models using non-technical language; selecting appropriate models from a wide range of possibilities; model checking and model comparison.
- The module will also look to develop students’ communication skills to prepare them for the role as the data analyst in a multidisciplinary team.
|
Course Outcomes |
A. Knowledge and understanding At the end of the module, learners will have knowledge and understanding of: A.1. A range of advanced data analysis techniques, building on those introduced at level 2. A.2. Normal linear models (including analysis of variance, multiple regression and enhanced knowledge of simple regression). A.3. Generalized linear modelling (including logistic, Poisson and loglinear models for contingency tables as special cases). A.4. Residual and influence diagnostics for linear and generalized linear models. A.5. An appreciation of techniques in one of two specialisms: econometrics or data science (including legal and ethical issues).
B. Cognitive skills
At the end of the module learners will be expected to: B.1. Formulate real-world data analysis problems in a linear or generalized linear modelling framework. B.2. Interpret and critically evaluate the outcomes of statistical data analysis in terms of the real-world problem from which the data arose. B.3. Compare and contrast alternative models for the same data.
B.4. Use a modern statistical software package (in particular, R) to analyse data using linear and generalized linear models (including data exploration and the use of diagnostics).
C. Practical and professional skills
At the end of the module, learners will be expected to: C.1. Fit and critically evaluate for linear and generalized linear modelling C.2. Use R to build suitable statistical models C.3. Understand the requirements of a statistical analysis that is given using non-technical language and communicate the results of that analysis in a similarly non-technical way. C.4. Analyse, evaluate problems and plan strategies for their solution
D Key transferable skills At the end of the module, learners will be expected to: D.1. Organise study time, study independently, act on feedback, and meet deadlines D.2. Communicate solutions to problems and the outcomes of statistical data analyses clearly and coherently, and to comment critically on statistical analyses, using appropriate language for specialists and nonspecialists.
D.3. Select, and use accurately, appropriate data analytic approaches. D.4. Develop the ability for dealing with problems given in an open-ended way.
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M811-A Information Security A
(4) Credit Hours
M811 A- Information Security A - course introduces the concepts and issues related to securing the information. Topics include the historical view of IT Governance, security issues, trends, security resources and risk analysis.
Course Code |
M811-A |
Course Title |
Information Security A |
Pre-requisite |
- |
Credit Hours |
4 |
Course Description |
M811 A- Information Security A - course introduces the concepts and issues related to securing the information. Topics include the historical view of IT Governance, security issues, trends, security resources and risk analysis. |
Course Objectives |
M811-part A aims to provide the skills and knowledge necessary to develop and run a practical information security management system, in accordance with current international standards. In particular, it aims to: - provide student with an understanding of current issues in information security and its management;
- Teach student a variety of techniques for information security management, including risk assessment and management, and to provide practice in their use;
- Provide student with sufficient knowledge to be able to choose between different development techniques, tools and process models for a given information security context;
- Make student aware of the policy and technology trade-offs involved in developing information security management systems of sufficient quality;
- Give student an understanding of the importance to information security management of risk assessment and management, impact assessment, human factors, and legal and ethical issues.
- Equip student with the skills and tools necessary to audit his/her home computer and/or network for information security risk.
Additionally, M811 aims to - provide student with an understanding of the information security risks that he/she faces as an individual;
- provide student with sufficient knowledge to be able to manage those risks to be less threatening
- provide student with an ability to evaluate current practice within the discipline of information security against legal, regulatory and commercial expectations;
- provide student with an understanding of the workings of the profession in terms of progression through professional qualifications;
- provide student with the research skills to stay at the leading edge of information security
|
Course Outcomes |
A. Knowledge and understanding
At the end of the module, learners will be expected to:
- Define the principles of information security in various contexts
- Describe an information security management system appropriate to a particular organisational context
- Identify the strengths and weaknesses of different types of information security mechanisms in various contexts.
- Identify the role of technology in Information Security in various contexts and be able to assess, using technology, the deficiencies of a simple information system and design solutions for its protection.
- Describe the management roles in defining, enforcing and validating information security
B. Cognitive skills
- Critically evaluate the information security management system of an organisation.
- Integrate knowledge and skills from a range of approaches to information security and its management
C. Practical and professional skills
At the end of the module, learners will be expected to:
- Apply the principles, concepts and techniques of the course in the workplace.
- Classify the various requirements and the incentives for organizations to implement information security
- Support management roles in defining, enforcing and validating information security.
D. Key transferable skills
- Discuss competently a variety of topics related to information security.
- Provide appropriate, effective documentation throughout the information security life-cycle.
- Critically evaluate information about the development of information security management systems from a variety of sources.
|
M811-B Information Security- Part B
(4) Credit Hours
M811 B- This course builds on Information Security A course and introduces deep information related to information risk management and the development of polices to implement information security controls. Topics include the risk analysis and management, the role of policy, people and processes in information security.
Course Code |
M811-B |
Course Title |
Information Security- Part B |
Pre-requisite |
- |
Credit Hours |
4 |
Course Description |
M811 B- This course builds on Information Security A course and introduces deep information related to information risk management and the development of polices to implement information security controls. Topics include the risk analysis and management, the role of policy, people and processes in information security.
|
Course Objectives |
M811-part B aims to provide the skills and knowledge necessary to develop and run a practical information security management system, in accordance with current international standards. In particular, it aims to: - Provide student with an understanding of current issues in information security and its management;
- Teach student a variety of techniques for information security management, including risk assessment and management, and to provide practice in their use;
- Provide student with sufficient knowledge to be able to choose between different development techniques, tools and process models for a given information security context;
- Make student aware of the policy and technology trade-offs involved in developing information security management systems of sufficient quality;
- Give student an understanding of the importance to information security management of risk assessment and management, impact assessment, human factors, and legal and ethical issues.
- Equip student with the skills and tools necessary to audit his/her home computer and/or network for information security risk.
Additionally, M811 aims to:
- provide student with an understanding of the information security risks that he/she faces as an individual;
- provide student with sufficient knowledge to be able to manage those risks to be less threatening
- provide student with an ability to evaluate current practice within the discipline of information security against legal, regulatory and commercial expectations;
- provide student with an understanding of the workings of the profession in terms of progression through professional qualifications;
- provide student with the research skills to stay at the leading edge of information security
|
Course Outcomes |
A. Knowledge and understanding
At the end of the module, learners will be expected to:
- Define the principles of information security in various contexts
- Describe an information security management system appropriate to a particular organisational context
- Describe the provenance of threats, their impact and outline appropriate countermeasures to protect information assets against threats
- Identify the strengths and weaknesses of different types of information security mechanisms in various contexts.
- Identify the role of technology in Information Security in various contexts and be able to assess, using technology, the deficiencies of a simple information system and design solutions for its protection.
- Describe the management roles in defining, enforcing and validating information security
B. Cognitive skills
At the end of the module learners will be expected to:
- Associate a fit-for-purpose information security management system to the management of information security risks
- Explain how to be systematic in the choice of controls that treat specific risks, and how to produce the documentation required by the relevant standards
- Integrate knowledge and skills from a range of approaches to information security and its management
C. Practical and professional skills
At the end of the module, learners will be expected to: - Apply a fit-for-purpose information security management system to the management of information security risks
- Show how to be systematic in the choice of controls that treat specific risks, and how to produce the documentation required by the relevant standards
- Support management roles in defining, enforcing and validating information security
D. Key transferable skills
- Discuss competently a variety of topics related to information security.
- Provide appropriate, effective documentation throughout the info sec life-cycle.
- Critically evaluate information about the development of info sec management systems from a variety of sources.
|
M812-A Digital Forensics A
(4) Credit Hours
M812- Digital Forensics (A & B) will help students understand how to conduct investigations to correctly gather, analyse and present digital evidence to both business and legal audiences.
Digital evidence features in just about every part of our personal and business lives. Legal and business decisions hinge on having timely data about what people have actually done. M812 (A& B) covers a gap in the Middle Eastern (ME) market for courses in the subject of Computer Digital Forensics. M812 actually has a role to play in seeking to refresh and invigorate the curriculum of PG Computing and thereby increase the University’s market share. This course will address the strategic priority of AOU of increasing new student numbers.
Course Code |
M812-A |
Course Title |
Digital Forensics A |
Pre-requisite |
|
Credit Hours |
4 |
Course Description |
M812- Digital Forensics (A & B) will help students understand how to conduct investigations to correctly gather, analyse and present digital evidence to both business and legal audiences.
Digital evidence features in just about every part of our personal and business lives. Legal and business decisions hinge on having timely data about what people have actually done. M812 (A& B) covers a gap in the Middle Eastern (ME) market for courses in the subject of Computer Digital Forensics. M812 actually has a role to play in seeking to refresh and invigorate the curriculum of PG Computing and thereby increase the University’s market share. This course will address the strategic priority of AOU of increasing new student numbers. |
Course Objectives |
- provide students with a broad and practical introduction to the fundamentals of digital forensics, including how general forensic principles and techniques apply to digital investigations
- provide students with sufficient knowledge to be able to conduct digital investigation procedures, and skills including evidence handling, note taking and report writing
- provide students with an understanding of how to keep up to date with changing technologies, laws and regulations in digital forensics
- guide students through English and Welsh civil and criminal laws particularly relevant to digital forensic investigations and teach him/her how to find the law in other jurisdictions (national and international)
- present students with the principles of legal report writing
- provide students with an opportunity to answer questions from reviewers of the legal report orally
- Equip students with resources to access templates and documents from professional bodies and industrial practices, and stay at the leading edge of digital forensics.
|
Course Outcomes |
A. Knowledge and understanding
At the end of the module, learners will be expected to:
- Define the role of digital forensics within the larger discipline of forensic science and the appropriate use of scientific methods.
- Identify the range of applications of digital forensics across ordinary organizations from disciplinary hearings and employment tribunals to civil and even criminal cases.
- Identify and explain relevant International legislation and understand how to find relevant legislation.
B. Cognitive skills
At the end of the module learners will be expected to:
- Select and use appropriate concepts, methods, tools and techniques for a given digital forensics event and analyze the results.
- Analyze a given forensic investigation scenario to identify risks and relevant legislation
- Detect how given forensic could affect an organization.
C. Practical and professional skills
At the end of the module, learners will be expected to:
- Demonstrate awareness and understanding of prevailing standards applicable to digital evidence (e.g. ACPO Good Practice Guide for Computer Based Electronic Evidence, Forensic Science Regulator's Standards, and ISO standards) and be able to demonstrate their application in a given context.
- Explain the relevance of digital forensics within both society and an organization as well as the legal and ethical responsibilities of the digital forensic professional.
- Develop a reflective approach to learning.
D. Key transferable skills
At the end of the module, learners will be expected to:
- Demonstrate good oral and written communication skills appropriate for reporting and defending digital forensics results to both legal and business audiences.
- Reporting and defending digital forensics results to both legal and business audiences using evidence instead of subjective opinions, even in the presence of incomplete information.
|
M812-B Digital Forensics B
(4) Credit Hours
M812- Digital Forensics (A & B) will help students understand how to conduct investigations to correctly gather, analyse and present digital evidence to both business and legal audiences.
Digital evidence features in just about every part of our personal and business lives. Legal and business decisions hinge on having timely data about what people have actually done. M812 (A& B) covers a gap in the Middle Eastern (ME) market for courses in the subject of Computer Digital Forensics. M812 actually has a role to play in seeking to refresh and invigorate the curriculum of PG Computing and thereby increase the University’s market share. This course will address the strategic priority of AOU of increasing new student numbers.
Course Code |
M812-B |
Course Title |
Digital Forensics B |
Pre-requisite |
- |
Credit Hours |
4 |
Course Description |
M812- Digital Forensics (A & B) will help students understand how to conduct investigations to correctly gather, analyse and present digital evidence to both business and legal audiences.
Digital evidence features in just about every part of our personal and business lives. Legal and business decisions hinge on having timely data about what people have actually done. M812 (A& B) covers a gap in the Middle Eastern (ME) market for courses in the subject of Computer Digital Forensics. M812 actually has a role to play in seeking to refresh and invigorate the curriculum of PG Computing and thereby increase the University’s market share. This course will address the strategic priority of AOU of increasing new student numbers. |
Course Objectives |
- Provide students with a broad and practical introduction to the fundamentals of digital forensics, including how general forensic principles and techniques apply to digital investigations
- Provide students with sufficient knowledge to be able to conduct digital investigation procedures, and skills including evidence handling, note taking and report writing
- Provide students with an understanding of how to keep up to date with changing technologies, laws and regulations in digital forensics
- Guide students through English and Welsh civil and criminal laws particularly relevant to digital forensic investigations and teach them how to find the law in other jurisdictions (national and international)
- Present students with the principles of legal report writing
- Provide students with an opportunity to answer questions from reviewers of the legal report orally
- Equip students with resources to access templates and documents from professional bodies and industrial practices, and stay at the leading edge of digital forensics.
|
Course Outcomes |
A. Knowledge and understanding
At the end of the module, learners will be expected to:
- Describe how to collect and safely store digital forensic evidence and ensure its integrity to a criminal evidence standard using appropriate concepts, tools, techniques and methods for a given situation.
- Define how operating system, application software and user controlled behaviours as well as the actions of other investigators can affect the results of an investigation and how these effects can be minimised or avoided.
- Describe the storage formats and basic physical and logical characteristics of modern computing hardware, software and networks sufficient to identify where forensic artefacts may be found. Identify the rights and responsibilities of all of the parties in a digital forensics investigation, the range of commercial and open source digital forensic tools available and how to find and evaluate new tools.
B. Cognitive skills
At the end of the module learners will be expected to:
- Critically evaluate digital forensic tools and describe their applicability and limitations.
- Assess the risks of new digital technologies and describe the attributes of a tool required to complete a forensic examination on it.
C. Practical and professional skills
At the end of the module, learners will be expected to:
- Apply the development in new digital forensics technology including the identification of limitations and risks in applying the new technique and the associated new legal issues with respect to the cultural and ethnical impact and societal/business needs.
- Develop a reflective approach to learning.
D. Key transferable skills
At the end of the module, learners will be expected to: - Demonstrate good oral and written communication skills appropriate for reporting and defending digital forensics results to both legal and business audiences.
- Reporting and defending digital forensics results to both legal and business audiences using evidence instead of subjective opinions, even in the presence of incomplete information.
- Demonstrate the use of digital forensic imaging and analysis tools and scientific methods as part of a larger investigation.
- Demonstrate working with others to collect and analyze digital forensic data.
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M816-A Data Management-A
(4) Credit Hours
M816 (A & B) covers the data management principles, practices and technologies required to develop policies, procedures and systems that control, protect, deliver and enhance the value of an organisation’s data asset. Students will acquire practical skills in data, database, repository (meta-data) and business intelligence administration.
Course Code |
M816-A |
Course Title |
Data Management-A |
Pre-requisite |
|
Credit Hours |
4 |
Course Description |
M816 (A & B) covers the data management principles, practices and technologies required to develop policies, procedures and systems that control, protect, deliver and enhance the value of an organisation’s data asset. Students will acquire practical skills in data, database, repository (meta-data) and business intelligence administration. |
Course Objectives |
M816 (A & B) aims to provide the skills and knowledge necessary to develop data management policies, procedures and systems in accordance with current professional practice, approaches and techniques. In particular, it aims to: - teach students a variety of principles, practices and technologies for data management across the data life-cycle
- give students the ability to evaluate current practices in data management
- give student an understanding of current and emerging issues in data management
- give students the research skills you need to stay at the leading edge of data management
|
Course Outcomes |
A. Knowledge and understanding
- Data management principles, practices and technologies required to develop policies, procedures and systems that control, protect, deliver and enhance the value of an organisation's data asset.
- Concepts and techniques associated with data, database, repository and business intelligence administration.
- Issues relating to ethical and professional conduct for data administrators.
- Concepts and techniques associated with data integrity, security, quality and recovery.
- Issues and technologies associated with the use of databases to maintain persistent data in software systems including web applications.
B. Cognitive skills
- Analyse an organisation's data asset, and develop policies, procedures and systems that control, protect, deliver and enhance the value of the data asset.
- Apply techniques associated with data, database, repository and business intelligence administration.
- Choose and justify appropriate strategies for data integrity, security, quality and recovery.
- Evaluate different approaches to using databases to maintain persistent data in software systems including web applications.
- Choose and justify appropriate techniques and technologies to develop database
C. Practical and professional skills
- Apply the data management principles, practices and technologies taught in the module to develop policies, procedures and systems for managing data resources in the workplace.
- Practise basic data, database, repository and business intelligence administration skills in the workplace.
- Critically evaluate developments in data management practices and technologies.
- Develop a reflective approach to learning.
D. Key transferable skills
- Discuss competently a variety of topics related to data management policies, procedures and technologies.
- Critically evaluate information about data management from a variety of sources.
- Communicate effectively in writing about approaches to managing data.
|
M816-B Data Management-B
(4) Credit Hours
M816 (A & B) covers the data management principles, practices and technologies required to develop policies, procedures and systems that control, protect, deliver and enhance the value of an organisation’s data asset. Students will acquire practical skills in data, database, repository (meta-data) and business intelligence administration.
Course Code |
M816-B |
Course Title |
Data Management-B |
Pre-requisite |
|
Credit Hours |
4 |
Course Description |
M816 (A & B) covers the data management principles, practices and technologies required to develop policies, procedures and systems that control, protect, deliver and enhance the value of an organisation’s data asset. Students will acquire practical skills in data, database, repository (meta-data) and business intelligence administration. |
Course Objectives |
M816 (A & B) aims to provide the skills and knowledge necessary to develop data management policies, procedures and systems in accordance with current professional practice, approaches and techniques.
In particular, it aims to: - teach students a variety of principles, practices and technologies for data management across the data life-cycle
- give students the ability to evaluate current practices in data management
- give student an understanding of current and emerging issues in data management
- give students the research skills you need to stay at the leading edge of data management
|
Course Outcomes |
A. Knowledge and understanding
- Concepts and techniques associated with data integrity, security, quality and recovery.
- Issues relating to distributed and cloud databases.
- Concepts and techniques associated with data warehousing: data extraction, change detection and propagation, data cleaning, data integration, and view selection, maintenance and use.
- Principle data mining techniques and their application.
- Issues and technologies associated with 'Big data'.
B. Cognitive skills
- Analyse an organisation's data asset, and develop policies, procedures and systems that control, protect, deliver and enhance the value of the data asset.
- Apply techniques associated with data, database, repository and business intelligence administration.
- Choose and justify appropriate strategies for data integrity, security, quality and recovery.
- Evaluate different approaches to using databases to maintain persistent data in software systems including web applications.
- Choose and justify appropriate techniques and technologies to develop database and data warehouse systems.
C. Practical and professional skills
- Apply the data management principles, practices and technologies taught in the module to develop policies, procedures and systems for managing data resources in the workplace.
- Practise basic data, database, repository and business intelligence administration skills in the workplace.
- Critically evaluate developments in data management practices and technologies.
- Develop a reflective approach to learning.
D. Key transferable skills
- Discuss competently a variety of topics related to data management policies, procedures and technologies.
- Critically evaluate information about data management from a variety of sources.
- Communicate effectively in writing about approaches to managing data.
|
M818 A Machine learning in cybersecurity-A
(4) Credit Hours
This module is specifically aiming at exploring and assessing the current maturity of the different ML/DL techniques solutions in the cyber security filed, to identify their main limitations and to highlight their strength.
We first classify ML/DL algorithms for the different cyber security fields. ML/DL algorithms can be then further characterized by distinguishing between supervised and unsupervised algorithms. We then consider and compare the most popular categories of ML/DL algorithms. Then, we map the identified classes of algorithms of machine learning that are currently applied to solve different cyber security challenges, such as malware detection, intrusion detection and application security.
Course Code |
M818 A |
Course Title |
Machine learning in cybersecurity-A |
Pre-requisite |
|
Credit Hours |
4 |
Course Description |
This module is specifically aiming at exploring and assessing the current maturity of the different ML/DL techniques solutions in the cyber security filed, to identify their main limitations and to highlight their strength.
We first classify ML/DL algorithms for the different cyber security fields. ML/DL algorithms can be then further characterized by distinguishing between supervised and unsupervised algorithms. We then consider and compare the most popular categories of ML/DL algorithms. Then, we map the identified classes of algorithms of machine learning that are currently applied to solve different cyber security challenges, such as malware detection, intrusion detection and application security.
|
Course Objectives |
M818 aims to provide the skills and knowledge necessary to efficiently apply ML/DL in different cyber security domains: In particular, it aims to: - Teach students a variety of concepts, practices and technologies for ML/DL within the cyber security field
- Give students the ability to evaluate current practices in ML/DL
- Give students an understanding of current and emerging issues in in ML/DL and its application in cyber security
- Give students the research skills needed to stay at the leading edge of ML/DL in the field of cyber security
|
Course Outcomes |
At the end of the module, learners will be expected to: A.
Knowledge and understanding
A1. Understand the context of artificial intelligence, machine learning, and deep learning applied in the cyber security field A2. Describe the range of situations within cyber security field in which machine learning systems are used and the possibilities and limitations of these systems A3. Understand the key elements and mechanisms of deep neural learning systems within the context of cyber security, together with their strengths and weaknesses. A4. Understand the social, professional, legal, and ethical issues associated with machine learning for cyber security systems.
B. Cognitive skills At the end of the module learners will be expected to: B1: Explain the strengths, weaknesses, and limitations of machine learning, and deep learning in cyber security, including understanding when ML techniques are not appropriate to be used in cyber security.
B2: Apply and critically evaluate deep learning tools and techniques to solve real-world cyber security problems.
B3: Select and apply appropriate techniques and tools for designing, implementing, and testing deep learning systems within cyber security fields, and be aware of their limitations.
B4. Justify why deep learning tools and techniques are either suitable or not for a specific cyber security domain.
C. Practical and professional skills
At the end of the module, learners will be expected to:
C1: Analyze and evaluate problems and plan strategies for their solution. C2: Select an appropriate set of ML/DL techniques for a given cyber security attack domain, collect a dataset, arrange one or more tools into a cohesive ML/DL system, then apply the ML/DL system correctly, and evaluate its performance (including limits of applicability).
C3.Select and appropriately preprocess a dataset form a giving cyber security incident for machine learning and evaluate how biases inherent in the data will affect the reliability and fairness of the trained ML/DL system.
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M818 B Machine learning in cybersecurity B
(4) Credit Hours
This module is specifically aiming at exploring and assessing the current maturity of the different ML/DL techniques solutions in the cyber security filed, to identify their main limitations and to highlight their strength.
We first classify ML/DL algorithms for the different cyber security fields. ML/DL algorithms can be then further characterized by distinguishing between supervised and unsupervised algorithms. We then consider and compare the most popular categories of ML/DL algorithms. Then, we map the identified classes of algorithms of machine learning that are currently applied to solve different cyber security challenges, such as malware detection, intrusion detection and application security.
Course Code |
M818 B |
Course Title |
Machine learning in cybersecurity B |
Pre-requisite |
|
Credit Hours |
4 |
Course Description |
This module is specifically aiming at exploring and assessing the current maturity of the different ML/DL techniques solutions in the cyber security filed, to identify their main limitations and to highlight their strength.
We first classify ML/DL algorithms for the different cyber security fields. ML/DL algorithms can be then further characterized by distinguishing between supervised and unsupervised algorithms. We then consider and compare the most popular categories of ML/DL algorithms. Then, we map the identified classes of algorithms of machine learning that are currently applied to solve different cyber security challenges, such as malware detection, intrusion detection and application security.
|
Course Objectives |
M818 aims to provide the skills and knowledge necessary to efficiently apply ML/DL in different cyber security domains: In particular, it aims to: - Teach students a variety of concepts, practices and technologies for ML/DL within the cyber security field
- Give students the ability to evaluate current practices in ML/DL
- Give students an understanding of current and emerging issues in in ML/DL and its application in cyber security
- Give students the research skills needed to stay at the leading edge of ML/DL in the field of cyber security
|
Course Outcomes |
At the end of the module, learners will be expected to: A. Knowledge and understanding
A1. Understand the context of artificial intelligence, machine learning, and deep learning applied in the cyber security field A2. Describe the range of situations within cyber security field in which machine learning systems are used and the possibilities and limitations of these systems A3. Understand the key elements and mechanisms of deep neural learning systems within the context of cyber security, together with their strengths and weaknesses. A4. Understand the social, professional, legal, and ethical issues associated with machine learning for cyber security systems.
B. Cognitive skills At the end of the module learners will be expected to: B1: Explain the strengths, weaknesses, and limitations of machine learning, and deep learning in cyber security, including understanding when ML techniques are not appropriate to be used in cyber security.
B2: Apply and critically evaluate deep learning tools and techniques to solve real-world cyber security problems.
B3: Select and apply appropriate techniques and tools for designing, implementing, and testing deep learning systems within cyber security fields, and be aware of their limitations.
B4. Justify why deep learning tools and techniques are either suitable or not for a specific cyber security domain.
C. Practical and professional skills
At the end of the module, learners will be expected to:
C1: Analyze and evaluate problems and plan strategies for their solution. C2: Select an appropriate set of ML/DL techniques for a given cyber security attack domain, collect a dataset, arrange one or more tools into a cohesive ML/DL system, then apply the ML/DL system correctly, and evaluate its performance (including limits of applicability).
C3.Select and appropriately preprocess a dataset form a giving cyber security incident for machine learning and evaluate how biases inherent in the data will affect the reliability and fairness of the trained ML/DL system.
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MS102 Physics
(3) Credit Hours
An understanding of the physical phenomena underlying the operation of devices involved in information processing and transmission can lead to better understanding of those devices. In addition, software developers of computer games frequently require knowledge of the behavior of physical objects in order to produce realistic games. Finally, as a fundamental science, a good understanding of physics and its techniques will help students develop a better understanding of nature and how to approach studying it. The module has implicit links to computer communication and software development modules, in addition to the final year project.
Course Code |
MS102 |
Course Title |
Physics |
Pre-requisite |
- |
Credit Hours |
3 |
Course Description |
An understanding of the physical phenomena underlying the operation of devices involved in information processing and transmission can lead to better understanding of those devices. In addition, software developers of computer games frequently require knowledge of the behavior of physical objects in order to produce realistic games. Finally, as a fundamental science, a good understanding of physics and its techniques will help students develop a better understanding of nature and how to approach studying it. The module has implicit links to computer communication and software development modules, in addition to the final year project. |
Course Objectives |
- To impart knowledge and understanding of fundamental concepts of physics likely to be needed by the students for later modules and future careers.
- To develop an appreciation of physics' tools and techniques for understanding the real world.
- To develop transferrable problem-solving skills that can be applied in other areas.
|
Course Outcomes |
A. Knowledge and understanding Upon completing this module, students will be able to: - Explain the various important units of physics and the concept of dimensional analysis and the representation and manipulation of physical quantities
- Outline the laws of classical mechanics
- Contrast and differentiate among the different types of waves and summarize their properties
- Explain electric forces and fields and summarize their properties
- Illustrate and explain basic passive electric circuits
B. Cognitive skills
Upon completing this module, students will be able to:
- Identify concepts and quantities in physics precisely beyond what is used in everyday language.
- Apply strategies for solving problems in physics in different situations.
- Use vector algebra to the study of mechanics in two dimensions.
- Analyze passive electric circuits.
- Analyze wave propagation in different materials.
C. Practical and professional skills
Upon completing this module, students will be able to: - Use and interpret different types of graphs to display the relationship between variables
- Analyze the forces of static and dynamic bodies in simple mechanical systems
- Calculate the velocity and acceleration of bodies in different types of plane motion
- Determine basic parameters of waves propagating in different materials
- Calculate voltages and currents in passive electric circuits
D. Key transferable skills
Use the learning Management System (LMS) effectively to improve own learning performance. - Demonstrate active participation and contribution to classroom discussions.
- Improve own learning and performance through self-reflection.
- Demonstrate effective communicate about technical matters.
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MST129 Applied Calculus
(4) Credit Hours
This module introduces some fundamental topics of differential and integral calculus, with an emphasis on applications. Among the topics covered are functions (including exponential and logarithmic), limits, the concept of derivative, computing the derivative, maxima and minima of functions, and integration. Emphasis will be placed upon the use of calculus in defining and solving problems from areas including computing, data science and natural sciences
Course Code |
MST129 |
Course Title |
Applied Calculus |
Pre-requisite |
|
Credit Hours |
4 |
Course Description |
This module introduces some fundamental topics of differential and integral calculus, with an emphasis on applications. Among the topics covered are functions (including exponential and logarithmic), limits, the concept of derivative, computing the derivative, maxima and minima of functions, and integration. Emphasis will be placed upon the use of calculus in defining and solving problems from areas including computing, data science and natural sciences
|
Course Objectives |
The module aims to: • Provide the knowledge of elementary functions to calculus concepts for students in all of the ITC programs. • Use mathematical techniques to find solutions to simple optimization problems. • Increase academic proficiency in expression of mathematical solutions. • Introduce definition of the derivative and make students acquainted with computing the derivative of polynomials, rational, radical, trigonometric, exponential, and logarithmic functions. • Make students acquainted with evaluating the integrals of polynomials, rational, radical, trigonometric, exponential, and logarithmic functions. • Introduces applications of integrals such as area, average value of a function. • Enable students to compute the partial derivatives of several variable functions.
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Course Outcomes |
A. Knowledge and understanding At the end of the module, learners will be expected to: - Acquire the fundamental concepts and basic knowledge of calculus.
- Find and interpret the derivatives of power, exponential, logarithmic and trigonometric functions.
- Get the intuitive knowledge of critical points of a function and optimization problems.
- Find and interpret the integral of functions.
- Use application integration to obtain the area between curves and the average value of functions.
B. Cognitive skills
At the end of the module, learners will be expected to: - Develop techniques of problem solving.
- Apply differentiation to problems such as related rates, graphing and optimization.
- Manipulate the integration techniques theoretically and numerically.
C. Practical and professional skills
At the end of the module, learners will be expected to: - Carry out calculations orally and mentally.
- Analyze mathematical models such as equations, formulas, graphs, tables, functions, and/or figures, and draw inferences from them related to applied calculus.
- Apply the mathematical skills required in performing operations and/or problem solving related to applied calculus.
- Write a verbal interpretation of the derivative as a rate of change in the context of an application.
D. Key transferable skills
At the end of the module, learners will be expected to: - Build their understanding of mathematical modeling and/or use functions and data to model real-world situations.
- Learn both the skills and techniques of calculus, as well as the applications of calculus.
- Communicate more effectively with peers and teaching staff.
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MST224 Mathematical methods
(8) Credit Hours
This module introduces a variety of mathematical methods, which are used in modelling through their application to solving real world problems. These methods include first and second order differential equations, calculus of functions of several variables, vector calculus, Fourier series and partial differential equations. The module gives a good foundation for higher-level study and is essential preparation for most level 2 and level 3 mathematics and statistics modules. The module needs a sound knowledge of algebra, trigonometry, calculus, linear algebra, and geometry as provided by the appropriate level 1 study.
Course Code |
MST224 |
Course Title |
Mathematical methods |
Pre-requisite |
|
Credit Hours |
8 |
Course Description |
This module introduces a variety of mathematical methods, which are used in modelling through their application to solving real world problems. These methods include first and second order differential equations, calculus of functions of several variables, vector calculus, Fourier series and partial differential equations. The module gives a good foundation for higher-level study and is essential preparation for most level 2 and level 3 mathematics and statistics modules. The module needs a sound knowledge of algebra, trigonometry, calculus, linear algebra, and geometry as provided by the appropriate level 1 study.
|
Course Objectives |
The module aims to: • Enable students to work with a variety of applications, using appropriate models, and analyse the validity of the solutions obtained. • Introduce ODEs and discuss graphical, numerical, and analytical solution methods. • Provide the understanding of existence and uniqueness of solutions of ODEs. • Visualise functions of several variables and introduce periodic functions. • Compute the partial derivatives, the gradient vector, line integrals of vector functions, classifying stationary points and Fourier coefficients.
|
Course Outcomes |
A. Knowledge and understanding At the end of the module, learners will be expected to: A.1. Solve a constant coefficient second order linear initial value problem with driving term exponential time's polynomial. A.2. Perform calculus operations on vector-valued functions, including derivatives, integrals, curvature, displacement, velocity, acceleration, and torsion. A.3. Compute Fourier coefficients, and find periodic solutions of linear ODEs by means of Fourier series.
B. Cognitive skills
At the end of the module, learners will be expected to: B.1. Judge if the results of ODEs solutions are reasonable, and then interpret and clearly communicate the results. B.2. Think critically by setting up and solving application problems involving double and triple integrals. B.3. Demonstrate ability to think effectively to interpret and use functions of several variables.
C. Practical and professional skills
At the end of the module, learners will be expected to: C.1. Utilize Delta functions to model abrupt phenomena, compute the unit impulse response, and express the system response to a general signal by means of the convolution integral. C.2. Locate and use information to solve calculus problems in several variables. C.3. Competence in solving problems related to vectors in 2- and 3- dimensions and their applications. C.4. Work effectively with others to complete homework and class assignments. D Key transferable skills At the end of the module, learners will be expected to: D.1. Analyse real world scenarios to recognize when ordinary differential equations (ODEs) or systems of ODEs are appropriate. D.2. Demonstrate the ability to communicate with colleagues on the topics of ODEs and systems of ODEs D.3. Formulate problems about the scenarios, creatively model these scenarios (using technology, if appropriate) in order to solve the problems using multiple approaches. D.4. Apply the computational and conceptual principles of calculus to the solutions of real-world problems. D.5. Recognize ODEs and system of ODEs concepts that are encountered in the real world, understand and be able to communicate the underlying mathematics involved to help another person gain insight into the situation
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MT110 Software Print Design
(4) Credit Hours
This studio course is composed of two parts, starting with a basic exposure to computer platforms and the primary software used in computer graphics application. The first part addresses the basics of generating and manipulating images using digital media, and covers monochrome patterns, control and mix of colours, raster images, scanning, pixel, and vector graphics. The second part introduces the basic concepts of two-dimensional design, in which vectors drawing properties are explored. A range of print-based media is addressed from computer-driven technologies including photo manipulation.
Course Code |
MT110 |
Course Title |
Software Print Design |
Pre-requisite |
- |
Credit Hours |
4 |
Course Description |
This studio course is composed of two parts, starting with a basic exposure to computer platforms and the primary software used in computer graphics application. The first part addresses the basics of generating and manipulating images using digital media, and covers monochrome patterns, control and mix of colours, raster images, scanning, pixel, and vector graphics. The second part introduces the basic concepts of two-dimensional design, in which vectors drawing properties are explored. A range of print-based media is addressed from computer-driven technologies including photo manipulation.
|
Course Objectives |
The aims of the course in context are: - Provide basic understanding of graphics software literacy.
- Gain a fundamental knowledge of Adobe Photoshop, Adobe Illustrator and Adobe Indesign software.
- Learn the difference between vector and raster design.
- Give exposure to digital media in relation to print design.
- Enrich students' analytical thinking and design problem solving capacities through digital media.
|
Course Outcomes |
A. Knowledge and understanding
On completion of the course students will be able to: - Provide basic understanding of graphics software literacy.
- Give students exposure to digital media in relation to various print design applications.
- Learn the difference between vector and raster design.
- Gain a fundamental knowledge of Adobe Photoshop, Adobe Illustrator and Adobe Indesign software.
B. Cognitive skills
On completion of the course students will be able to: - Enrich students' analytical thinking and design problem solving capacities.
- Acquire the understanding that software are digital aided tools meant to fulfil predefined designs and concepts.
- Acquire the skill to make use of all the digital aided software to execute a design.
- Research data and information from various sources to analyse, and present them in an appropriate and clear manner.
C. Practical and professional skills
On completion of the course students will be able to: - Learn the difference between vector and raster design.
- Image manipulation, correction, and retouch.
- Use of color text and shapes.
- Using tools.
- Preparing a file for print publication.
D. Key transferable skills
On completion of the course students will be able to: - Translate verbal meanings into design forms, by using different materials and methodologies.
- Offer constructive feedback to their classmates.
- Design, illustrate, and complete individual projects for various purposes and audience in effective and creative manner.
- Display finished work in a professional manner.
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MT120 Software screen design
(4) Credit Hours
This course trains the student on the advanced technologies needed to use reliable programs in the world of production and is complementary to what they have previously studied of the technical programs. It also opens the door to become an artist with comprehensive experience which would qualify him or her to be part of the work teams in media and technical organizations
Course Code |
MT120 |
Course Title |
Software screen design |
Pre-requisite |
|
Credit Hours |
4 |
Course Description |
This course trains the student on the advanced technologies needed to use reliable programs in the world of production and is complementary to what they have previously studied of the technical programs. It also opens the door to become an artist with comprehensive experience which would qualify him or her to be part of the work teams in media and technical organizations
|
Course Objectives |
This course provides a thorough overview of the interface, tools, features, and production flow for using Premiere Pro. The course is an ideal combination of instructor-led demonstration and hands-on practice for getting to know this revolutionary nonlinear video-editing application. The course focuses on the basic editing functions while familiarizing the students with the user interface. It also allows them to use Premiere Pro's powerful real-time video and audio editing tools to give them precise control over virtually every aspect of the production.
The second part of the course is full hands-on practice of Adobe after effects which would allow the students to deliver cinematic, visual effects and motion graphics faster than ever before with new Global Performance Cache, extend their creativity with built-in text and shape extrusion, new mask feathering options, and get into motion graphics.
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Course Outcomes |
A. Knowledge and understanding
On completion of the course students will be able to: - Be familiar with the standard digital video workflow
- Enhance the workflow with high-level features
- Incorporate Adobe® Creative Cloud into the post production workflow
- Understand the Adobe Creative Cloud workflow
- Have a good understanding of the Nonlinear editing workflow in Premiere Pro CC
- Be familiar with the interface, tools, features, and production flow for Premiere Pro CC and all other production applications from Adobe.
- Know a powerful real-time video and audio editing tools that gives precise control over virtually every aspect of any production.
- Freely combine any type of video media, from video shot on a phone to raw 5K.
- Perform an advanced editing techniques
- Add video effects and transitions to the production.
- Have a good understanding of color grading and color correction with adobe premiere pro CC.
- Have a good understanding and practice of the compositing techniques
- Know exporting techniques
B. Cognitive skills
- Creating a storyboard (i.e. a visual map for your digital video project).
- Importing multimedia elements into a digital video project.
- Adding multimedia elements to the timeline.
- Splitting/cutting video clips.
- Extending frame rate duration of video/picture portions.
- Combining/joining different video clips.
- Synchronizing audio clips with a recorded video lesson.
- Changing videos appearance using video effects and transitions.
- Publishing videos in a format playable in media players.
- Understand the Fundamentals of Motion Graphics
- Getting to Know the Workflow of Motion graphics and visual effects production
C. Practical and professional skills
Adobe Premiere pro - Touring Adobe Premiere Pro Creative Cloud
- Setting up a Project
- Importing Media
- Organizing Media
- Mastering the Essentials of Video Editing
- Working with Clips and Markers
- Adding Transitions
- Performing Advanced Editing Techniques
- Putting Clips in Motion
- Multicamera Editing
- Editing and Mixing Audio
- Sweetening Sound
- Adding Video Effects
- Improving Clips with Color Correction and Grading
- Exploring Compositing Techniques
- Creating Titles
- Managing Your Projects
- Exporting Frames, Clips, and Sequences
After effects - Animating Text
- Working with Shape Layers
- Animating Multimedia Presentation
- Working with Masks
- Distorting Objects with the Puppet Tools
- Other Effects
- Rendering and Outputting
D. Key transferable skills
- Cutting shot sequences into different angles at specific points in scenes; making sure each individual cuts as fluid and seamless as possible.
- Studying scripts to become familiar with Pre production-Production and post production concepts and requirements.
- Selecting and combining the most effective shots of each scene in order to form a logical and smoothly running story.
- Determining the specific audio and visual effects and music necessary to complete films.
- Verifying key numbers and time codes on materials.
- Reviewing assembled films or edited videotapes on screens or monitors in order to determine if corrections are necessary.
- Setting up and operating computer editing systems, electronic titling systems, video switching equipment, and digital video effects units in order to produce a final product.
- Recording needed sounds, or obtaining them from sound effects libraries.
- Conferring with producers and directors concerning layout or editing approaches needed to increase dramatic or entertainment value of productions.
- Manipulating plot, score, sound, and graphics to integrate the parts into a continuous whole as well as working closely with people in audio, visual, music, optical and/or special effects departments.
- Supervising and coordinating activities of workers engaged in film editing, assembling, and recording activities.
- Developing post-production models for films.
- Piecing sounds together to develop film soundtracks.
- Conducting film screenings for directors and members of production staffs.
- Collaborating with music editors to select appropriate passages of music and develop production scores.
- Discussing the sound requirements of pictures with sound effects editors.
- Informative information on how the animation is produced
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MT131 Discrete Mathematics
(4) Credit Hours
This is an elementary level module which introduces various topics in discrete mathematics. It offers a clear and comprehensive survey of logic operations, predicates, quantifiers, sets, functions, relations. Also, the module provides the concept of permutations, combinations and counting techniques which are needed as prerequisite in most of technology and communication modules. Moreover, the module gives some knowledge of relevant algorithmic ideas in number theory and cryptography that are widely used in data structure, data base, programming, data communication and in scientific research.
Course Code |
MT131 |
Course Title |
Discrete Mathematics |
Pre-requisite |
- |
Credit Hours |
4 |
Course Description |
This is an elementary level module which introduces various topics in discrete mathematics. It offers a clear and comprehensive survey of logic operations, predicates, quantifiers, sets, functions, relations. Also, the module provides the concept of permutations, combinations and counting techniques which are needed as prerequisite in most of technology and communication modules. Moreover, the module gives some knowledge of relevant algorithmic ideas in number theory and cryptography that are widely used in data structure, data base, programming, data communication and in scientific research. |
Course Objectives |
The course aims to:
- Introduce basic notations used in discrete Mathematics associated with information and communication technology
- Teach the rudiments of elementary mathematical reasoning.
- Prepare students for the theoretical parts of further courses in information technology.
- Explain logic from a mathematical perspective and relating it to computer applications.
- Introduce set theory, relations, functions, graphs, equivalence relations, and partial orderings.
- Provide concepts of permutation, combination and any other counting techniques.
|
Course Outcomes |
A. Knowledge and understanding
Students will be able to: - Identify propositional logic, logical equivalence, predicates and quantifiers.
- Describe the Integers and division functions, prime number and prime factorization, least common multiple and highest common factors.
- Define sets, functions and binary relations, their properties and representations. Know the major types of binary relations on a set, equivalence relations and partial orderings.
- Use matrices to represent relations, graphs and trees.
- Recognize basic properties of counting techniques using permutation and combination properties.
B. Cognitive skills
Students will be able to: - Deal with mathematical and logical arguments and carry out mathematical and logical manipulations.
- Acquire a good understanding of the concepts and methods of discrete mathematics described in detail in the syllabus.
- Be familiar with mathematical notations related to computer science.
C. Practical and professional skills
Students will be able to: - Prove any simple mathematical theory using logic laws
- Use any or all of the previous tools in a significant information and communication technology application such as cryptography.
- Apply combinatorial principles and discrete mathematical structures that are central to mathematics and information technology.
D. Key transferable skills
Students will be able to: - Demonstrate study skills at a level appropriate to higher education, such as timetabling study; read critically for meaning and take effective notes; and use study aids such as dictionaries and glossaries;
- Present and communicate basic mathematical and logical arguments; communicate appropriately with their tutor and other students using email and online conferences;
- Locate information on a given subject from the World Wide Web
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MT132 Linear Algebra
(4) Credit Hours
The course introduces a range of ideas concerning matrices and its applications, matrix operations that are widely used in data structure, programming, data communication, digital signal processing and in scientific research. The course shows algorithmic method to solve systems of linear equations. Moreover, it includes concept of vector spaces and subspace that are used to construct algebraic codes. Also, it introduces the meaning of basis and dimension of a subspace the vector space Rn. The concept of linear transformation between two vector spaces together with null space and rank are also included. Finally, the course introduce the idea of characteristic values/vectors and diagonalization.
Course Code |
MT132 |
Course Title |
Linear Algebra |
Pre-requisite |
- |
Credit Hours |
4 |
Course Description |
The course introduces a range of ideas concerning matrices and its applications, matrix operations that are widely used in data structure, programming, data communication, digital signal processing and in scientific research. The course shows algorithmic method to solve systems of linear equations. Moreover, it includes concept of vector spaces and subspace that are used to construct algebraic codes. Also, it introduces the meaning of basis and dimension of a subspace the vector space Rn. The concept of linear transformation between two vector spaces together with null space and rank are also included. Finally, the course introduce the idea of characteristic values/vectors and diagonalization. |
Course Objectives |
The course aims to: - Extend the students' basic mathematical awareness and skills in matrices and matrix operations.
- Give the study skills necessary for students to be able to solve system of linear equations.
- Provide a range of useful ideas such as linear combinations and linear independence.
- Present some important mathematical terms such as span, basis and dimensions.
- Upgrade the concept of linear transformation necessary for other compulsory technology and communication modules.
- Give a feeling for the mathematical approach to the study of computer science.
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Course Outcomes |
A. Knowledge and understanding
Student will be able to: - Define and classify type of matrices and perform matrix operations.
- Solve problems in information systems and communication using matrix techniques.
- Use and apply linear algebra knowledge and concepts to information technologies and computing.
- Be familiar with different terminologies in linear algebra and matrix transformation.
- Acquire technical material, effectively present it and objectively evaluate other technical materials in linear algebra.
B. Cognitive skills
Students should be able to demonstrate that they can: - Produce descriptions and explanations of the different types of matrices and linear operations.
- Apply their understanding of the studied ideas in linear algebra to coding problems, encryption and decryption.
- Use knowledge gained from the module to help them to understand new unfamiliar matrix operations.
C. Practical and professional skills
Students should be able to: - Communicate effectively in English and Arabic in a variety of contexts and media.
- Analyze a mass of information and carry out an appropriate analysis of the problem material.
- Express a problem in mathematical terms and carry out an appropriate analysis.
- Reason critically and interpret information in a manner that can be communicated effectively.
- Integrate and link information across course components.
D. Key transferable skills
Students should be able to demonstrate that they can: - Communicate complex information, arguments and ideas effectively and without plagiarism on a range of topics relating to linear operations.
- Perform calculations to find inverse of a matrix, use and manipulate simple algebraic calculations to solve linear system of equations.
- Use technology to find a span and a basis for a vector space.
- Enhance existing numerical ability.
- Work effectively as part of a group in solving any complicated mathematical problems.
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MT141 Introduction to Probability and Statistics
(4) Credit Hours
MT141 is an introductory module in probability and statistics. It is designed to provide Artificial Intelligence students with the basic concepts of data analysis and statistical computing. Topics covered include basic descriptive measures, measures of association, probability theory, measurement error, random variables, probability distributions, confidence intervals, and hypothesis testing. To study this module, students should have a sound knowledge of level 1 mathematics modules MST129, MT131 and MT132.
Course Code |
MT141 |
Course Title |
Introduction to Probability and Statistics |
Pre-requisite |
|
Credit Hours |
4 |
Course Description |
MT141 is an introductory module in probability and statistics. It is designed to provide Artificial Intelligence students with the basic concepts of data analysis and statistical computing. Topics covered include basic descriptive measures, measures of association, probability theory, measurement error, random variables, probability distributions, confidence intervals, and hypothesis testing. To study this module, students should have a sound knowledge of level 1 mathematics modules MST129, MT131 and MT132. |
Course Objectives |
The module aims to:
- Provide students with a framework that will help them choose the appropriate descriptive methods in various statistical data analysis situations.
- Make acquainted with concepts of random variables and finding appropriate distribution for interpreting data specific to an experiment.
- Impart knowledge and understanding of discrete and continuous probability distributions.
- Develop the understanding of mathematical expectations and moment generating functions.
- Ensure the understanding of testing hypotheses, and estimation.
- Enable students to understand the role of statistics in doing the research.
- Help students to read and understand the statistical concepts from reports and papers.
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Course Outcomes |
A. Knowledge and understanding At the end of the module, learners will be expected to: - Use a variety of methods for exploring, summarizing and presenting data.
- Have knowledge and understanding of basic probability models and their use for modelling discrete and continuous data.
- Realize the different probability distributions types, their structures and standards.
B. Cognitive skills At the end of the module learners will be expected to: - Apply mathematical and statistical manipulation and calculation on choices of model and analyses resulting from them.
- Solve practical problems by formulating problems in a statistical framework and applying appropriate statistical techniques.
- Be able to interpret the results of a statistical data analysis and evaluate statistical evidence.
C. Practical and professional skills - Apply mathematical and statistical concepts and principles.
- Analyse and evaluate criteria and specifications appropriate to specific problems and plan strategies for their solutions.
- Use information technology with confidence to acquire and present mathematical and statistical knowledge and data, to model and solve problems and to develop mathematical and statistical insight.
- Demonstrate their understanding of descriptive statistics by practical application of quantitative reasoning and data visualization.
D. Key transferable skills
At the end of the module, learners will be expected to: - Apply statistical modelling and analysis techniques to a wide range of practical problems.
- Analyse and to evaluate practical problems involving statistical data and plan strategies for their solution.
- Communicate in writing about statistical and probability modelling, communicate relevant information accurately and effectively, using a form, structure and style that suits the purpose.
- Use mathematical and statistical software with confidence.
- Acquire further knowledge with little guidance or support.
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MT210 Mixed Media Production
(4) Credit Hours
In visual design, mixed media is defined as an artwork in which more than one medium has been employed. When creating any work whether in hard copy or digital using mixed media techniques, attention is focused to allow the correct interaction between the various existing layers to ensure that the final work have the right structural integrity. Mixed media, a visual design, is distinguished from multimedia design, since it combines visual materials with non-visual elements, such as recorded sound, literature, drama, dance, motion graphics, music, or interactivity.
Course Code |
MT210 |
Course Title |
Mixed Media Production |
Pre-requisite |
|
Credit Hours |
4 |
Course Description |
In visual design, mixed media is defined as an artwork in which more than one medium has been employed. When creating any work whether in hard copy or digital using mixed media techniques, attention is focused to allow the correct interaction between the various existing layers to ensure that the final work have the right structural integrity. Mixed media, a visual design, is distinguished from multimedia design, since it combines visual materials with non-visual elements, such as recorded sound, literature, drama, dance, motion graphics, music, or interactivity. |
Course Objectives |
The course will develop and improve the students' capability in multimedia by engaging them to expand their experiences in creating, writing and directing in the following fields: cinema, advertising, TV, video clips and online.
The students will be practicing in the three basic columns from preproduction to production to post production which are the basic principles of TV and Cinema, by working and creating a good content/ idea, script, to production design, by the choice of music and cast, and finally by finalizing the project by a dynamic editing and graphics (if needed) into the final step which is the distribution/ or posting online.
The course is an ensemble of Artistic and technical craft of film and TV directing, starting by the scripting, then developing storyboards and shot list, and the director's collaboration with production crew, actors/ presenters/ singers and clients on set.
Course MT210 will be helping the students to practice (Chroma, Transition, scriptwriting, storytelling, continuity, filming and editing) techniques in TV, cinema production and online
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Course Outcomes |
A. Knowledge and Understanding A1. Creating a concept A2. Get familiar with using the camera: color, settings, color temperature measurement, format and Chroma. Defining the Framing rolls in the shot: Close up, long shot, Extreme long shot, etc. ...
A3. Creating a one-minute ad/promo
A4. Pre-production- Postproduction and Postproduction planning. Rehearsing with actors/presenters/ Guiding the actors on set. Visualization of the scene design/Collaborating with the crew
B. Cognitive Skills B1. Filming & TV Production Roles (Departments) Foundations of television and film production: Director and key personnel
B2. How to use the camera movement and transitions.
B3. Production design. And Preproduction meetings/ Rehearsing with actors. B4. The Framing by the Placement of the subject in relation to other objects.
B5. Character and Script Analysis and Script Breakdown
B6. Visualization of scene. The design
B7. Directing the actors on set/ Postproduction planning
C. Practical and Professional Skills C1. Writing a script for a short movie or ad C2. Directing any projects.
C3. Employ technical and artistic skills needed to create videos projects that communicate ideas for specific target audience and for various design applications.
C4. Use effectively and creatively the camera and the edit in creating beautiful concept and stories.
C4. Write and create short stories and concepts and editing the rushes with the continuity needed to finalize the production.
C5. Work in the field.
D. Key Transferable Skills D1. Create an idea, write it, pre-production and film it and finally edit it D2. Create a short show reel of 30 sec, 1 min and 2 min video projects finalized in a professional way. D3. Create Solutions according to types of shooting problems. D4. Demonstrate an understanding of the shooting
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MT221 Cinema 4D
(4) Credit Hours
Cinema 4D is a 3D modelling, animation, motion graphic and rendering application. It is capable of procedural and polygonal/sub modelling, animating, lighting, texturing, rendering, and common features found in 3D modelling applications. The broadcast version with additional motion-graphics features, will be the core focus of this course which adds functions for architectural design for all modules.
Course Code |
MT221 |
Course Title |
Cinema 4D |
Pre-requisite |
|
Credit Hours |
4 |
Course Description |
Cinema 4D is a 3D modelling, animation, motion graphic and rendering application. It is capable of procedural and polygonal/sub modelling, animating, lighting, texturing, rendering, and common features found in 3D modelling applications. The broadcast version with additional motion-graphics features, will be the core focus of this course which adds functions for architectural design for all modules. |
Course Objectives |
Students are going to have a good knowledge and hands on practice on one of the most used applications for 3d modeling, texturing, animation, rendering and visual effects to the media production.
|
Course Outcomes |
A. Knowledge and Understanding A1. Understanding the 3D environment and workflow A2. Learning the different methods of modeling within 3Ds Max A3. Understanding the different deformation tags and modifiers A4. Understanding Shaders and Textures within the material editor A5. Learning The principals of animation A6. Understanding the rendering process
B. Cognitive Skills B1. Have a better knowledge about the industry and in creating 3d models and animation. B2. The ability to learn and understand the different types of 3d outputs B3. Understanding the Pipeline for production of movies and Ads
C. Practical and Professional Skills C1. Knowing the basics of 3Ds Max C2. Modeling - Polygonal Modeling
- Spline Modeling
- Importing Vectors to 3Ds Max
C3. Lighting – Camera - Rendering C4. Rendering
D. Key Transferable Skills D1. Using Adobe Photoshop with 3Ds Max. D2. Using Adobe Illustrator with 3Ds Max. D3. Using Adobe After Effects with 3Ds Max. D4. Using Vray for Advanced Rendering with 3Ds Max.
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MT222 Web & Mobile Application Programming I
(4) Credit Hours
Since this is an introductory course, the students will not be dealing with any one programming language in particular rather it is a cover up for various languages needed for various task achievements. Various examples will be taken from a number of programming languages or given in a pseudo-code. Throughout this course there will be instructions to work on lessons from the students’ need of a specific language that is needed for a specific design.
Course Code |
MT222 |
Course Title |
Web & Mobile Application Programming I |
Pre-requisite |
|
Credit Hours |
4 |
Course Description |
Since this is an introductory course, the students will not be dealing with any one programming language in particular rather it is a cover up for various languages needed for various task achievements. Various examples will be taken from a number of programming languages or given in a pseudo-code. Throughout this course there will be instructions to work on lessons from the students’ need of a specific language that is needed for a specific design. |
Course Objectives |
- Learning the web environment.
- Understanding of the internet world, the web and the connections.
- An introduction to the platforms, screen sizes and responsiveness.
- Learn about the website coding techniques and visualizations.
- Learning the Search Engine Optimization
- Learn about UI and UX execution.
|
Course Outcomes |
A. Knowledge and Understanding A1. Get familiar with Web Browsers, Mobile Browsers. A2. Recognize and manipulate different platforms and screen sizes. A3. Know how web servers compile the code into a visual experience. A4. Brief history ofall the e-Digital experience.
B. Cognitive Skills B1. Learn web standards. B2. Learn website coding, html. B3. Learn website styling, CSS. B4. Learn the mobile first design. B.5. Learn the grid based development B.6. Understand SEO techniques and how to reach the best SEO standards
C. Practical and Professional Skills C1. Create a complete mobile app schema. C2. Develop a fully functional Android Mobile app. C3. Identify and communicate a visual design UI and experience. C4. Learn how to add SEO items to increase website/app visibility
D. Key Transferable Skills D1. Understand how to read a website code and modify it. D2. Design a website knowing now how the development process goes. D3. Understand the Multimedia Market. D4. The student will be able to make a project from scratch.
|
MT248 Analysing data
(4) Credit Hours
The statistical analysis of data is usually based on some kind of modelling of the situation of interest. In this module, students will use the commercial statistical software package Minitab to help them with analysing data. Such statistical modelling with large amounts of data and realistic models together lead to many and difficult calculations. Therefore, the module requires a sound knowledge of level 1 mathematics modules MST129, MT131 and MT132.
Course Code |
MT248 |
Course Title |
Analysing data |
Pre-requisite |
|
Credit Hours |
4 |
Course Description |
The statistical analysis of data is usually based on some kind of modelling of the situation of interest. In this module, students will use the commercial statistical software package Minitab to help them with analysing data. Such statistical modelling with large amounts of data and realistic models together lead to many and difficult calculations. Therefore, the module requires a sound knowledge of level 1 mathematics modules MST129, MT131 and MT132. |
Course Objectives |
The module aims to: • Provide students with a framework that will help them choose the appropriate descriptive methods in various statistical data analysis situations. • Make acquainted with concepts of random variables and finding appropriate distribution for interpreting data specific to an experiment. • Impart knowledge and understanding of discrete and continuous probability distributions. • Develop the understanding of mathematical expectations and moment generating functions. • Ensure the understanding of testing hypotheses, and estimation. • Introduce linear and multiple regressions.
|
Course Outcomes |
A. Knowledge and understanding At the end of the module, learners will be expected to:
A.1. Have knowledge and understanding of basic probability models and their use for modelling discrete and continuous data.
A.2. Have knowledge and understanding of basic statistical inference, including point estimation, confidence intervals and hypothesis testing
A.3. Introduction to the use of calculus in statistics.
A.4. Have knowledge and understanding of data analysis techniques using a commercial statistical software package, including methods for exploring data and writing statistical reports.
A.5. Have knowledge and understanding of basic regression techniques for modelling two or more dependent variables
B. Cognitive skills
At the end of the module, learners will be expected to:
B.1. Solve practical problems by formulating problems in a statistical framework and applying appropriate statistical techniques.
B.2. Interpret the results of a statistical data analysis and evaluate statistical evidence.
C. Practical and professional skills
At the end of the module, learners will be expected to:
C.1. Understand the importance and relevance of random variation and statistics in the modern world.
C.2. Use a commercial statistical software package to analyse data and use statistical techniques
D. Key transferable skills
At the end of the module, learners will be expected to:
D.1. Communicate solutions to problems clearly and coherently
D.2. Solve problems and demonstrate critical quantitative thinking
D.3. Organise your study time, study independently, exploit feedback and meet deadline
|
MT249 Practical modern statistics
(4) Credit Hours
This module introduces major topics of modern applied statistics: time series, multivariate analysis, and Bayesian statistics. The module emphasises underlying principles and practical applications rather than technical details. Use of a computer is an essential component – the module includes SPSS and WinBUGS software, which students will use to analyse data and develop their understanding of statistics.
Course Code |
MT249 |
Course Title |
Practical modern statistics |
Pre-requisite |
|
Credit Hours |
4 |
Course Description |
This module introduces major topics of modern applied statistics: time series, multivariate analysis, and Bayesian statistics. The module emphasises underlying principles and practical applications rather than technical details. Use of a computer is an essential component – the module includes SPSS and WinBUGS software, which students will use to analyse data and develop their understanding of statistics. |
Course Objectives |
The module aims to: • Improve skills in analysing and interpreting data, communicating statistical ideas clearly and succinctly. • Analyse data collected over time, and forecasting future values using exponential smoothing and ARIMA models. • Present and analyse data on several variables, with sections on principal component analysis and discrimination. • Introduce the Bayesian approach to statistics, in which expert knowledge can be incorporated into statistical models. • Present and use special statistical software such as WinBUGS.
|
Course Outcomes |
A. Knowledge and understanding At the end of the module, learners will be expected to: A.1. Demonstrate understanding of techniques for analysing and interpreting data. A.2. Realize time series data, trend and seasonality, additive and multiplicative models, transforming time series, moving averages, estimating the trend, seasonal and irregular components. A.3. Define the concepts of multivariate data, scatterplots, matrix scatterplots and profile plots, mean vectors and the covariance matrix, standardisation and the correlation matrix.
B. Cognitive skills
At the end of the module, learners will be expected to: B.1. Apply mathematical and statistical manipulation and calculation on choices of model and analyses resulting from them. B.2. Assemble relevant information for proofs and construct appropriate mathematical arguments, and exercise judgment in selection and application of a wide range of mathematical and statistical tools and techniques. B.3. Represent groups in multivariate data and measure the separation between and withingroups covariance matrices
C. Practical and professional skills
At the end of the module, learners will be expected to: C.1. Apply Markov chain simulation, burn-in, practical Bayesian data analysis with MCMC; and interpret MCMC output. C.2. Analyse objective and subjective probability, Bayes’ theorem. Prior distributions, the likelihood, posterior distributions. C.3. Gain membership of the Royal Statistical Society and the Institute of Mathematics such as London Mathematical Society. D Key transferable skills
At the end of the module, learners will be expected to: D.1. Apply statistical modelling and analysis techniques to a wide range of practical problem such as simple, Holt and Holt-Winters exponential smoothing, autocorrelation and prediction, the correlogram, tests for zero autocorrelation, prediction errors. D.2. Analyse and evaluate practical problems involving statistical data and plan strategies for their solution. D.3. Use professional mathematical and statistical software with confidence. D.4. Communicating statistical ideas clearly and succinctly. D.5. Acquire further knowledge with little guidance or support.
|
MT310 Web & Mobile Application Programming II
(4) Credit Hours
Following the introductory course, this advanced level course extends the study of basic programming principles. Advanced concepts of program design, implementation and testing will be introduced within a framework of object oriented programming using specific programming language. This course will enable the students to gain programming skills as they are expected to apply knowledge with creativity and initiative to new situations. Students will also demonstrate mastery of a body of knowledge that includes recent developments in computer science and information technology.
Course Code |
MT310 |
Course Title |
Web & Mobile Application Programming II |
Pre-requisite |
|
Credit Hours |
4 |
Course Description |
Following the introductory course, this advanced level course extends the study of basic programming principles. Advanced concepts of program design, implementation and testing will be introduced within a framework of object oriented programming using specific programming language. This course will enable the students to gain programming skills as they are expected to apply knowledge with creativity and initiative to new situations. Students will also demonstrate mastery of a body of knowledge that includes recent developments in computer science and information technology. |
Course Objectives |
- Learning the mobile environment.
- Understanding of the internet world, the mobile apps and the connections.
- An introduction to the platforms, screen sizes and responsiveness.
- Learn about the mobile coding techniques and visualizations.
- Learn about UI and UX execution.
|
Course Outcomes |
A. Knowledge and Understanding A1. Get familiar with Web Browsers, Mobile Browsers. A2. Recognize and manipulate different platforms and screen sizes. A3. Know how web servers compile the code into a visual experience. A4. Brief history of all the e-Digital experience.
B. Cognitive Skills B1. Learn web standards. B2. Learn mobile coding platforms technologies B3. Learn coding using HTML/CSS. B4. Learn the mobile first design. B5 Understand SEO techniques and how to reach the best SEO standards.
C. Practical and Professional Skills C1. Create a complete mobile app schema. C2. Develop a fully functional Android Mobile app. C3. Identify and communicate a visual design UI and experience. C4. Learn how to add SEO items to increase website/app visibility
D. Key Transferable Skills D1. Use HTML/CSS to create a mobile app on Apache Cordova D2. Build and Package an app with Cordova D3. Understand the Multimedia Market. D4. The student will be able to make a project from scratch.
|
MT311 3D Modelling and Animation Techniques
(4) Credit Hours
Computer based 3D modelling and animation techniques is one of the most defining modes of expression of our century. From animated movies through to concept design and prototyping, skills in visualizing 3D concepts are a useful addition to the repertoire of any designer. This course is designed to introduce the students to 3D software techniques, visualizing concepts and exploring the possibilities of expression in space and time.
Course Code |
MT311 |
Course Title |
3D Modelling and Animation Techniques |
Pre-requisite |
|
Credit Hours |
4 |
Course Description |
Computer based 3D modelling and animation techniques is one of the most defining modes of expression of our century. From animated movies through to concept design and prototyping, skills in visualizing 3D concepts are a useful addition to the repertoire of any designer. This course is designed to introduce the students to 3D software techniques, visualizing concepts and exploring the possibilities of expression in space and time. |
Course Objectives |
Students are going to have a good knowledge and hands on practice on one of the most used applications for 3d modeling, texturing, animation, rendering and visual effects to the media production.
|
Course Outcomes |
A. Knowledge and Understanding A1. Understanding the 3D environment and workflow A2. Learning the different methods of modeling within 3Ds Max A3. Understanding the different deformation tags and modifiers A4. Understanding Shaders and Textures within the material editor A5. Learning The principals of animation A6. Understanding the rendering process
B. Cognitive Skills B1. Have a better knowledge about the industry and in creating 3d models and animation. B2. The ability to learn and understand the different types of 3d outputs B3. Understanding the Pipeline for production of movies and Ads
C. Practical and Professional Skills C1. Knowing the basics of 3Ds Max C2. Modeling - Polygonal Modeling
- Spline Modeling
- Importing Vectors to 3Ds Max
C3. Lighting – Camera - Rendering C4. Rendering
D. Key Transferable Skills D1. Using Adobe Photoshop with 3Ds Max. D2. Using Adobe Illustrator with 3Ds Max. D3. Using Adobe After Effects with 3Ds Max. D4. Using Vray for Advanced Rendering with 3Ds Max.
|
MT323 Design Fabrication and Materials
(4) Credit Hours
This course is unique in its content since it only deals with materials, fabrication and properties. This course is designed to open up the material world for the students as well as fabrication of prototypes and respective behaviour of wood, steel, aluminium, and other sustainable materials newly on the market.
Course Code |
MT323 |
Course Title |
Design Fabrication and Materials |
Pre-requisite |
|
Credit Hours |
4 |
Course Description |
This course is unique in its content since it only deals with materials, fabrication and properties. This course is designed to open up the material world for the students as well as fabrication of prototypes and respective behaviour of wood, steel, aluminium, and other sustainable materials newly on the market. |
Course Objectives |
- Conduct in depth analyses, research and studying of packaging dielines and materials
- Develop knowledge, creative and imaginative use of various layout designs
- Encourage experimenting new possibilities with traditional and modern dielines
- Develop the skills to adapt a brand image to different packaging designs
- Understand the package design process from concept to manufacturing
|
Course Outcomes |
A. Knowledge and Understanding A1. Understand the importance of layout and design in packaging A2. Adapt design to different package structure A3. Understand printing process A4. Learn how to break down and reconstruct different dielines
B. Cognitive Skills B1. Have the critical thinking in packaging layout and design B2. Value the importance of the process B3. Have the critical thinking in dieline construction. B4. Understand the importance of applying a brand image to packaging design
C. Practical and Professional Skills C1. Construct different dielines C2. Design a complete package from concept, layout and design to fabrication C3. Apply dielines to different materials C4. Apply branding to various dieline structures and materials
D. Key Transferable Skills D1. Design the best dieline that promotes and enhances a brand image. D2. Construct different styles of dielines D3. Create a layout and design that best fits the dieline and brand image D4. Execute a complete packaging project
|
MT372 Parallel Computing
(3) Credit Hours
The module is a comprehensive study of parallel computing techniques, parallel programming and performance tuning. Topics covered include: fundamentals of parallel, concurrent and distributed computing systems, performance and limitations of these systems, and parallelism paradigms. In addition to these topics the software needs and support for parallel processor systems are covered in details. This includes programming languages, simulation and tracing tools. Students will examine a range of topics involved in using parallel operations to improve computational performance, parallel architectures, parallel algorithms and parallel programming languages; Architectures covered include vector computers, multiprocessors, network computers, and data flow machines.
Course Code |
MT372 |
Course Title |
Parallel Computing |
Pre-requisite |
- |
Credit Hours |
3 |
Course Description |
The module is a comprehensive study of parallel computing techniques, parallel programming and performance tuning. Topics covered include: fundamentals of parallel, concurrent and distributed computing systems, performance and limitations of these systems, and parallelism paradigms. In addition to these topics the software needs and support for parallel processor systems are covered in details. This includes programming languages, simulation and tracing tools. Students will examine a range of topics involved in using parallel operations to improve computational performance, parallel architectures, parallel algorithms and parallel programming languages; Architectures covered include vector computers, multiprocessors, network computers, and data flow machines. |
Course Objectives |
The module aims to give solid understanding about the following: - The fundamentals of parallel computing.
- Parallel operation.
- The different core concepts behind the hardware layer of a computer system.
- Performance and limitations of parallel systems
- The processor's architecture of parallel systems and its interconnection networks.
- The parallel algorithms.
|
Course Outcomes |
A. Knowledge and understanding
Upon completing this module, students will be able to: - Understand of the fundamental concept and issues of parallel computing
- Recognize parallel programming experience solving computationally intensive problems in a variety of disciplines
- Understand the related implementations and measurements of performance and constraints of parallel computing
B. Cognitive skills
Upon completing this module, students will be able to: - Practice Parallel programming platforms
- Apply Principles of parallel algorithm design
- Illustrate Basic communication operations
- Perform Analytical modelling of parallel programs
- Develop Programming using the message-passing paradigm (MPI)
C. Practical and professional skills
Upon completing this module, students will be able to: - Apply the techniques and theorems in real applications.
- Analyze specific data and information to build the parallel models
- Apply the tools studied concerning parallel computing to solve a real problem.
D. Key transferable skills
Upon completing this module, students will be able to:
- Gather data from various sources, including the electronic media, such as internet.
- Choose a case study from the real world and apply the techniques studied.
- Show responsibility for the preparation of the case study and manage the presentation schedule of his/her work.
- Exercise research skills, such as data collection, tabulation, analysis, report presentation and class discussions.
|
MT390 Image Processing
(3) Credit Hours
Image Processing is an important field of study and MT390 is meant to provide students with the basic knowledge of this field. Along with the importance of Image Processing in traditional areas such as Medical Diagnosis, Industrial Inspections, Security Systems, Robotics etc., the pervasiveness of smart phones equipped with powerful cameras has increased the need for Image Processing due to the availability of large amount of image data. This module is intended to provide students the opportunity to study the basics of the important field of Image Processing.
Course Code |
MT390 |
Course Title |
Image Processing |
Pre-requisite |
- |
Credit Hours |
3 |
Course Description |
Image Processing is an important field of study and MT390 is meant to provide students with the basic knowledge of this field. Along with the importance of Image Processing in traditional areas such as Medical Diagnosis, Industrial Inspections, Security Systems, Robotics etc., the pervasiveness of smart phones equipped with powerful cameras has increased the need for Image Processing due to the availability of large amount of image data. This module is intended to provide students the opportunity to study the basics of the important field of Image Processing. |
Course Objectives |
The aims of this module are to:
- Introduce students to the important field of Image Processing.
- Teach students the fundamental concepts related to image Representations and Enhancements.
- Impart to the students knowledge about Intensity Transformations and Spatial Domain Filtering.
- Introduce students to the concepts of 2-D Fourier Transform and the basics of Frequency Domain Filtering.
- Introduce students to the topics of Image Segmentation, Image Coding and their related techniques.
- Enable students to implement basic image processing algorithms using the Matlab Programming environment.
|
Course Outcomes |
A. Knowledge and understanding
On successful completion of this course, the student will be able to demonstrate knowledge and understanding of: - Basic image representation concepts.
- Spatial domain image processing techniques of intensity transformation and filtering.
- Frequency domain image processing techniques of filtering and masking.
- Data reduction and image coding methods.
- Basic image segmentation concepts and techniques.
B. Cognitive skills
On successful completion of this course, the student will be able to:
- Critically evaluate and suggest spatial domain processing techniques for image enhancement purposes.
- Analyse and suggest appropriate frequency domain filtering techniques suitable for image processing tasks.
- Critically interpret histogram data of images and suggest appropriate image processing techniques for image enhancement.
- Analyze various image coding techniques and select the appropriate one for a particular task.
- Evaluate and interpret image segmentation results.
C. Practical and professional skills
On successful completion of this course, the student will be able to: - Apply skills and concepts from the course to develop practical image processing projects.
- Develop, Interpret and Implement image enhancement techniques both in the spatial and frequency domains.
- Perform Matlab simulations of practical image processing algorithms including image enhancement, coding and segmentation.
D. Key transferable skills
On successful completion of this course, the student will be able to: - Apply the mathematical and algorithmic skills acquired in this course to other areas of study and work.
- Carry out independent learning on topics related to image processing and computing.
- Communicate ideas and concepts about image processing techniques effectively both in writing as well as in any group discussion or environment.
|
MT395 Applied Cyber Security
(3) Credit Hours
In today’s world, organizations must be prepared to defend against threats in cyberspace. Decision makers must be familiar with the basic principles and best practices of cyber security to best protect their enterprises.
Course Code |
MT395 |
Course Title |
Applied Cyber Security |
Pre-requisite |
- |
Credit Hours |
3 |
Course Description |
In today’s world, organizations must be prepared to defend against threats in cyberspace. Decision makers must be familiar with the basic principles and best practices of cyber security to best protect their enterprises. |
Course Objectives |
The aims and objectives of this module are to:
- Describe and discuss a range of topics in cyber security management.
- Describe cyber security governance and the implementation of an integrated security mechanism.
- Identify cyber security threats and explain risk analysis and management.
- Allow students to perform independent research in the area and to critically read and analyse third party material.
|
Course Outcomes |
A. Knowledge and understanding
After studying the module you will be able to:
- Describe cyber security fundamentals
- Explain cyber security management and its importance to organizations
- Evaluate the principles of cyber security governance to sustain and improve the security posture of an organisation
- Interpret the importance of risk analysis and management in protecting an organization from cyber threats
- Evaluate cyber security management policies, standards, and processes
- Define the most common cyber security threats and analyse appropriate countermeasures
- Describe and discuss the application of an integrated security mechanism
B. Cognitive skills
- Recognise and define the main issues and challenges related to protecting and safeguarding organisations from cyber security risks
- Read, evaluate, and critically review technical documents and extract useful information from these documents on topics related to cyber security, risk management, threat detection and countermeasures
C. Practical and professional skills
After studying the module you will be able to: - Use the studied concepts to analyse and assess the cyber security risks
- Identify the threats to information security and take appropriate countermeasures
D. Key transferable skills- Demonstrate independent self-learning capabilities in order to tackle more advanced topics and remain up-to-date in the field of cyber security
- Employ your technical writing skills on topics related to cyber security and cyber security management
|
T215A Communication and Information Technologies A
(8) Credit Hours
Students will begin with Communication and information technologies (T215) – learning about the core principles upon which new technologies are built. They will gain an understanding of the ways in which data is stored, manipulated and transmitted; and discover how new processes and services are transforming our lives.
Digital communication and information technologies have become fundamental to the operation of modern societies. New products and services are rapidly transforming our lives, both at work and at play.
This module will help students learn more about these developments, and will equip them with the understanding and skills to continue learning about new developments in the future. Students will study the core principles on which the technologies are built and, through a range of online and offline activities, investigate new topics and technologies.
After studying this module, students will be in a better position to appreciate the potential of developments in communication and information technologies.
Course Code |
T215A |
Course Title |
Communication and Information Technologies A |
Pre-requisite |
- |
Credit Hours |
8 |
Course Description |
Students will begin with Communication and information technologies (T215) – learning about the core principles upon which new technologies are built. They will gain an understanding of the ways in which data is stored, manipulated and transmitted; and discover how new processes and services are transforming our lives.
Digital communication and information technologies have become fundamental to the operation of modern societies. New products and services are rapidly transforming our lives, both at work and at play.
This module will help students learn more about these developments, and will equip them with the understanding and skills to continue learning about new developments in the future. Students will study the core principles on which the technologies are built and, through a range of online and offline activities, investigate new topics and technologies.
After studying this module, students will be in a better position to appreciate the potential of developments in communication and information technologies.
|
Course Objectives |
- To introduce students to modern topics in ICTs.
- To develop student's skills in managing technologies of data storage and computer networks.
- To develop students skills in the technologies of mobile communication systems with an emphasis on mobile telephony.
|
Course Outcomes |
A. Knowledge and understanding
Upon completing this module, students should be able to: - Describe key principles and concepts of digital communication and information systems and their component devices, including such topics as LANs, WLANs, mobile communication networks, encoding, modulation, multiplexing, routing, and standards.
- Explain key principles and concepts relating to digital data including the storage, manipulation and transmission of digital data.
- Identify major trends in communication and information technologies.
- Enhance their scientific reading and writing skills for writing short reports.
B. Cognitive skills
Upon completing this module, students should be able to: - Produce descriptions and explanations of the communication and information systems that feature in the module and of their underlying technologies and component devices
- Apply their understanding of the communication and information systems that feature in the module, their underlying technologies and component devices in specified contexts, updating themselves about the systems, technologies and devices as necessary.
- Use knowledge gained from the module to help them to figure out new or unfamiliar communication and information systems in specified situations; describe and explain such systems and their technologies and devices; apply their understanding in specified contexts.
- Analyze and discuss some of the technological, social, legal, ethical and personal issues that relate to communication and information systems, technologies and devices.
- Realize an overview of the way in which mobile telephone systems have developed from its first generation till LTE stage.
C. Practical and professional skills
Upon completing this module, students should be able to: - Critique draft materials in order to improve them
- Use standard office and communication software effectively to support their work
D. Key transferable skills
Upon completing this module, students should be able to: - Communicate complex information, arguments and ideas effectively and without plagiarism on a range of topics relating to communication and information systems through a variety of different media, using styles, language and images appropriate to purpose, audience and medium
- Perform simple calculations relating to communication and information systems, use and manipulate simple algebraic equations and interpret and produce graphical and tabular data
- Use information technology to find information from various sources and evaluate that information
- Develop a range of skills as an independent learner to support them in learning through the module materials and through other resources that they seek out for themselves.
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T215B Communication and Information Technologies B
(8) Credit Hours
Digital communication and information technologies have become fundamental to the operation of modern societies. New products and services are rapidly transforming our lives, both at work and at play. This module will help you to learn more about these developments through studying the core principles on which the technologies are built and, through a range of online and offline activities, investigate new topics and technologies.
This module will also help you to raise students’ awareness of some of the technologies and issues associated with safeguarding the privacy of digital information and the people who are affected by its use – hence the themes ‘protecting’ and ‘prying’.
These themes are explored through case studies and practical examples. A recurring approach is the use of an analytical framework that uses five themes to examine the technologies and issues: convenience, identity, reliability, acceptability and consequences.
Course Code |
T215B |
Course Title |
Communication and Information Technologies B |
Pre-requisite |
- |
Credit Hours |
8 |
Course Description |
Digital communication and information technologies have become fundamental to the operation of modern societies. New products and services are rapidly transforming our lives, both at work and at play. This module will help you to learn more about these developments through studying the core principles on which the technologies are built and, through a range of online and offline activities, investigate new topics and technologies.
This module will also help you to raise students’ awareness of some of the technologies and issues associated with safeguarding the privacy of digital information and the people who are affected by its use – hence the themes ‘protecting’ and ‘prying’.
These themes are explored through case studies and practical examples. A recurring approach is the use of an analytical framework that uses five themes to examine the technologies and issues: convenience, identity, reliability, acceptability and consequences.
|
Course Objectives |
- Increase the knowledge of the basic principles of communication and information systems and technologies, and the issues relating to their use
- Develop the ability to apply the understanding of communication and information technologies to learn about new or unfamiliar systems and technologies
- Enable students to explore how personal and private data can be protected.
- Help students develop an understanding of audio and video encoding and editing.
- Develop a variety of skills appropriate to a practitioner in communication and information technologies.
|
Course Outcomes |
A. Knowledge and understanding
Upon completing this module, students should be able to: - Describe key principles and concepts relating to digital data including the availability of, mechanisms for protecting digital personal data, and the associated privacy and security issues related to it.
- Explain major trends of the fastest expanding areas of ICT, that of audio and video production and its potential for entertaining us.
- Understand key concepts, issues and technologies associated with online communication.
- Enhance the scientific reading and writing skills for writing long reports.
B. Cognitive skills
Upon completing this module, students should be able to: - Produce descriptions and explanations of the fundamental building block of all modern security systems which is encryption.
- Apply their understanding of the themes of security framework for communication and information systems that feature in the module, their underlying technologies and component devices for applying biometrics as a measurement of human beings used to identify them in the context of authentication.
- Use knowledge gained from the module to help them to figure out new or unfamiliar topics; conveying information in audio and visual format, introduction for some tools that will assist in obtaining a simple digital video from a number of digital still images.
- Describe and discuss some of the technological, social, legal, ethical and personal issues that relate to securing personal data like preventing unauthorized people from having access to private information.
- Evaluate or compare communication and information systems suggested for a particular need and give a justified recommendation on their appropriateness
C. Practical and professional skills
- Upon completing this module, students should be able to:
- Critique draft materials in order to improve them
- Experiment with some fingerprint recognition tools and evaluate the system using the given data set.
- Use specialised software tools as AviSynth script language to provide the students with basic skills required to produce video from still images.
|
T216A Cisco networking (CCNA)-A
(8) Credit Hours
Students will begin with Cisco networking (CCNA) (T216). This will give them
the knowledge, understanding, and skills needed to configure a LAN/WAN using Cisco equipment (which should also leave you well prepared for the industry-standard CCNA certification examination) They will also gain hands-on practical experience of configuring networks at four compulsory day schools.
Cisco Systems are market leaders in supplying networking equipment for the internet. They also have a well-established educational programme for network professionals.
The Arab Open University offers the Cisco Certified Network Associate “CCNA” (ICND1) Version 5 curriculum, which provides the knowledge, understanding, and skills needed to configure a LAN/WAN using Cisco equipment.
The module is composed of two modules:
• Introduction to Networks
• Routing and switching essentials
Course Code |
T216A |
Course Title |
Cisco networking (CCNA)-A |
Pre-requisite |
- |
Credit Hours |
8 |
Course Description |
Students will begin with Cisco networking (CCNA) (T216). This will give them
the knowledge, understanding, and skills needed to configure a LAN/WAN using Cisco equipment (which should also leave you well prepared for the industry-standard CCNA certification examination) They will also gain hands-on practical experience of configuring networks at four compulsory day schools.
Cisco Systems are market leaders in supplying networking equipment for the internet. They also have a well-established educational programme for network professionals.
The Arab Open University offers the Cisco Certified Network Associate “CCNA” (ICND1) Version 5 curriculum, which provides the knowledge, understanding, and skills needed to configure a LAN/WAN using Cisco equipment.
The module is composed of two modules:
• Introduction to Networks
• Routing and switching essentials |
Course Objectives |
- Provide the student with the knowledge, understanding, and skills needed to configure a LAN/WAN using Cisco equipment.
- Provide the student with hands-on experience of configuring networks.
|
Course Outcomes |
A. Knowledge and understanding
After studying the module the student will be able to:
- Describe the role of protocol layers in data networks, and describe the devices and services used to support communications in data networks and the Internet
- Describe the importance of addressing and naming schemes at various layers of data networks in IPv4 and IPv6 environments
- Describe Ethernet and basic switching concepts, as well as the operation of Cisco switches
- Explain enhanced switching technologies such as VLANs, VLAN Trunking Protocol (VTP), Rapid Spanning Tree Protocol (RSTP), Per VLAN Spanning Tree Protocol (PVSTP), and 802.1q
- Describe the purpose, nature, and operations of a router, routing tables, and the route lookup process
- Describe how VLANs create logically separate networks and how routing occurs between them
- Describe dynamic routing protocols, distance vector routing protocols, and link-state routing protocols
- Describe the operations and benefits of access control lists (ACLs) Dynamic Host Configuration Protocol (DHCP) and Domain Name System (DNS), and Network Address Translation (NAT)
B. Cognitive skills
After studying the module the student will be able to: - Design, calculate, and apply subnet masks and addresses to fulfil given requirements in IPv4 and IPv6 network
- Build simple Ethernet network using routers and switches
- Troubleshoot and monitor networks
C. Practical and professional skills
After studying the module the student will be able to: - Build a simple Ethernet network using routers and switches
- Use Cisco command-line interface (CLI) commands to perform basic router and switch configurations
- Utilize common network utilities to verify small network operations and analyze data traffic
- Configure, monitor and troubleshoot: basic operations of a small switched network, static routing, default routing, basic operations of routers in a small routed network (RIPv1, RIPv2 and OSPF protocols (single-area OSPF)), VLANs, inter-VLAN routing, ACLs for IPv4 and IPv6, and NAT
D. Key transferable skills
After studying the module the student will be able to: - Build simple LANs, perform basic configurations for routers and switches, and implement IP addressing schemes.
- Configure and troubleshoot routers and switches, and resolve common issues with RIPv1, RIPv2, virtual LANs, and inter-VLAN routing in both IPv4 and IPv6 networks.
|
T216B Cisco networking (CCNA)-B
(8) Credit Hours
Cisco Systems are market leaders in supplying networking equipment for the internet. They also have a well-established educational programme for network professionals.
The Arab Open University offers the Cisco Certified Network Associate “CCNA” (ICND2) Version 5 curriculum, which provides the knowledge, understanding, and skills needed to configure a LAN/WAN using Cisco equipment.
The module is composed of two modules:
• Scaling Networks
• Connecting networks
Course Code |
T216B |
Course Title |
Cisco networking (CCNA)-B |
Pre-requisite |
- |
Credit Hours |
8 |
Course Description |
Cisco Systems are market leaders in supplying networking equipment for the internet. They also have a well-established educational programme for network professionals.
The Arab Open University offers the Cisco Certified Network Associate “CCNA” (ICND2) Version 5 curriculum, which provides the knowledge, understanding, and skills needed to configure a LAN/WAN using Cisco equipment.
The module is composed of two modules:
• Scaling Networks
• Connecting networks
|
Course Objectives |
- Provide the student with knowledge, understanding, and skills needed to configure a LAN/WAN using Cisco equipment.
- Provide the student with hands-on experience of configuring networks.
|
Course Outcomes |
A. Knowledge and understanding After studying the module the student will be able to: - Describe the operations and benefits of the Spanning Tree Protocol (STP)
- Describe the operations and benefits of link aggregation and Cisco VLAN Trunk Protocol (VTP)
- Describe the operations and benefits of EtherChannel and HSRP.
- Explain the operations and benefits of Open Shortest Path First (OSPF) protocol (single-area OSPF and multi-area OSPF)
- Explain the operations and benefits of Enhanced Interior Gateway Routing Protocol (EIGRP)
- Describe the different WAN technologies and their benefits
- Explain the operations and benefits of Standard and Extended Access control list (ACL).
- xplain the common LAN security threats and how to mitigate them
B. Cognitive skills
After studying the module the student will be able to:
- Troubleshoot networks
- Design network architectures for borderless networks, data centers and virtualization, and collaboration technology and solutions.
C. Practical and professional skills
After studying the module the student will be able to: - Configure and troubleshoot STP, RSTP, VTP, Extended VLAN, DTP, EtherChannel, HSRP, First Hop Redundancy Protocol, basic operations of routers in a complex routed network for IPv4 and IPv6, advanced operations of routers for IPv4 and IPv6, OSPF, and EIGRP .
- Configure and troubleshoot serial connections, broadband connections, ACL and IPSec tunnelling operations
- Monitor and troubleshoot network operations using syslog, SNMP, and NetFlow
D. Key transferable skills
After studying the module the student will be able to: - Configure and troubleshoot routers and switches. He will also resolve common issues with OSPF, EIGRP, STP, and VTP in both IPv4 and IPv6 networks. In addition, he will also develop the knowledge and skills needed to implement an EtherChannel.
- Understand the selection criteria of network devices and WAN technologies to meet network requirements. Furthermore, he will learn how to configure and troubleshoot network devices and resolve common issues with data link protocols. Finally, he will also develop the knowledge and skills needed to implement IPSec and virtual private network (VPN) operations in a complex network.
|
T316 Advanced Networking
(8) Credit Hours
With the continuous advancements in the networking field, the need arises for teaching advanced networking concepts. This advanced undergraduate course aims to meet this objective by discussing advanced networking topics complementing those introduced in T216A/B.
Course Code |
T316 |
Course Title |
Advanced Networking |
Pre-requisite |
- |
Credit Hours |
8 |
Course Description |
With the continuous advancements in the networking field, the need arises for teaching advanced networking concepts. This advanced undergraduate course aims to meet this objective by discussing advanced networking topics complementing those introduced in T216A/B. |
Course Objectives |
- Describe the various wireless networks along with their coexistence, cooperation, and interaction, while introducing a system level approach and providing an overview of recent research topics.
- Describe the concepts of sensor networks along with their underlying challenges, including power efficiency, routing, and multihop communications
- Discuss the challenges related to massive machine type communications inherent in large sensor networks deployments under the internet of things (IoT) paradigm).
- Explain the concepts of software defined networks (SDN) and network function virtualization (NFV).
- Define big data and describe its use in cloud computing.
- Discuss cloud computing issues, and analyse the role of mobile clouds.
- Define and discuss quality of experience (QoE) requirements, and compare and contrast QoE with quality of service (QoS).
- Teach students the concepts of large data centres, data mining, their relation to big data, and explain data management and backup techniques.
- Explain advanced network management and administration topics, such as: self-organizing networks, network planning and design, and advanced routing.
- Equip students with advanced skills in personal updating and researching in the field of advanced networking. Students will be taught how to use third-party material in order to extract useful information for their personal and professional development
|
Course Outcomes |
A. Knowledge and understanding
After studying the course you will be able to:
- Describe and analyse the operation of co-existing wireless networks and the possibilities of cooperation and interaction between these networks
- Discuss the role of sensor networks and machine-to-machine communications (M2M) in the internet of things (IoT) and describe the underlying challenges
- Describe the concepts of software defined networks (SDN) and network function virtualization (NFV), and discuss their role in advanced network management and administration
- Discuss advanced routing concepts, such as the Border Gateway Protocol (BGP)
- Discuss Cloud Computing and Big Data concepts
- Differentiate between QoE and QoS, and discuss QoE metrics for specific applications, e.g. voice (VoIP) and video
- Describe the operation of self-organizing networks (SON), and differentiate between self-configuration, self-optimization, and self-healing
B. Cognitive skills
After studying the course you will be able to: - Analyse the interaction between different technologies and networks in a complex setup involving multiple networks
- Analyse the challenges faced by the different networks and assess the required techniques for enhancing the performance metrics (QoS, QoE, energy efficiency, security, etc.) of the various network types studied in the course
- Read, evaluate, and critically review advanced technical documents and extract useful information from these documents on a specific networking topic
C. Practical and professional skills
After studying the course you will be able to:
- Use the studied concepts to analyse and assess the operation of complex networks
- Design and plan basic implementations of the advanced networks studied, and assess the management and operation of these networks, including the use of self-organization techniques
- Design QoE measurement and resource allocation techniques for enhancing QoE performance of networks using the studied concepts
- Be ready to tackle complex networking scenarios through self-learning and research skills coupled with the learned course material
D. Key transferable skills
After studying the course you will be able to:
- Become an independent self-learner in order to remain up-to-date with the continuous advancements in the field of advanced networking
- Improve your technical writing skills on topics related to networking and advanced networking
|
T318 Applied Network Security
(8) Credit Hours
People, organizations, and enterprises are becoming increasingly dependent on digital services. Therefore, the need arises to protect information from being maliciously intercepted, disrupted, or misused.
Course Code |
T318 |
Course Title |
Applied Network Security |
Pre-requisite |
- |
Credit Hours |
8 |
Course Description |
People, organizations, and enterprises are becoming increasingly dependent on digital services. Therefore, the need arises to protect information from being maliciously intercepted, disrupted, or misused. |
Course Objectives |
- Define the threats to network security, and describe the differences between them.
- Describe encryption techniques, including symmetric and asymmetric encryption methods.
- Explain the most widely used encryption algorithms and standards, with focus on wireless, cloud, and internet security.
- Equip students to be able to assess and manage network security risks, and implement appropriate countermeasures.
- Allow students to perform independent research in the area and to critically read and analyse third party material.
|
Course Outcomes |
A. Knowledge and understanding
After studying the course you will be able to:
- Describe the operation of encryption techniques: symmetric and asymmetric ciphers, block and stream ciphers
- Define and explain the differences between different encryption algorithms and standards
- Analyse and compare the performance of different encryption methods
- Design and implement encryption algorithms
- Describe the protocols for physical, network, and transport level security
- Define the most common threats to network and internet security, explain their operation, and discuss their differences
- Describe the protocols and countermeasures used for protecting network and internet traffic
B. Cognitive skills
After studying the course you will be able to:
- Recognise the threats to network security and assess their inherent risks
- Read, evaluate, and critically review technical documents and extract useful information from these documents on topics related to network security and cryptography algorithms
C. Practical and professional skills
After studying the course you will be able to:
- Use the studied concepts to implement, analyse, and assess different encryption algorithms and techniques
- Identify the threats to network security and take appropriate countermeasures
D. Key transferable skills
After studying the course you will be able to:
- Become an independent self-learner in order to tackle more advanced topics and remain up-to-date in the field of network security
- Improve your technical writing skills on topics related to cryptography and network security
|
T321 Operating System Server Administration
(8) Credit Hours
The recent advancements and development in the field of information and communication technology required in depth knowledge of Operating Systems along with the management of Servers hosting various services required for smooth operation of the network. This advanced undergraduate course aims to meet this objective by discussing the various roles of the Operating Systems and its implementation in forming the advanced networks.
Course Code |
T321 |
Course Title |
Operating System Server Administration |
Pre-requisite |
|
Credit Hours |
8 |
Course Description |
The recent advancements and development in the field of information and communication technology required in depth knowledge of Operating Systems along with the management of Servers hosting various services required for smooth operation of the network. This advanced undergraduate course aims to meet this objective by discussing the various roles of the Operating Systems and its implementation in forming the advanced networks.
|
Course Objectives |
The aims and objectives of this course are to: • Discuss the various parts of Linux. Identifying the major components of Linux Operating System. Describing different type of Linux distributions and identifying the steps for Linux Installation. • Explain the concepts of User and Group accounts, how to secure them and what are the consequences on the systems security. • Discuss the features of filesystems and how to make use of tools to secure the data stored on the filesystem. • Discuss the goal of automation and how to make the process easier and more fool proof to make the system more secure. • Discuss the role of networking which is the key component in the modern-day operating systems. Also, how to implement features to protect systems from network-based attacks. • Teach students the concepts of process in Linux environment, its importance and how it impacts on overall systems health and security. • Explain how to manage the growing software requirements of Linux, such as various distributions diverge and use of series of commands and utilities. • Equip students with advanced skills related to large number of Linux Security features. Students will be taught mitigating techniques such as “Footprinting”, used by hackers to discover information about systems. Also, the role of Firewalls and Intrusion Detection Systems (IDS), including additional security tasks.
|
Course Outcomes |
A. Knowledge and understanding After studying the course, you will be able to: - Identified various components of Linux Operating System and able to install the different distributions of Linux.
- Describe the various types of User and Group accounts and how to secure them.
- Describe the features of Linux file system and able to use variety of inbuilt tools to secure the data and file system.
- Discuss the process of automation and how it is used in optimization the performance.
- Discuss the importance of networking and able to identify and configure the operating system features to protect the network from adversarial attacks.
- Describe and fine tune the process in Linux environment and how it impacts on the overall health and security of the system.
- Discuss the operation of Linux software requirements and updates using commands and utilities.
- Describe the role of Firewalls, IDS and differentiate between “Footpriniting and Reconnaissance" attacks.
B. Cognitive skills
After studying the course you will be able to: - Get hands-on instructions installing the Linux Operating System and managing the server side administration activities.
- Analyse and assess the different type of challenges in manging and user and group accounts. Also, able to enhance the system performance using Linux tools and through automation, including the protection of operating system from attacks.
- Able to implement the basic and advance security measures to harden the defence using, Firewalls, IDS and manage the Footprinting and Reconnaissance attacks.
- Read, evaluate, and synthesise the main concepts of the module into a clear and critical view of the strengths, weaknesses, and future direction of Operating Systems administration.
C. Practical and professional skills After studying the course you will be able to: - Identify various components and distributions of Linux Operating Systems and install them on standalone Server and in networked environment.
- Manage and maintain the user and group accounts with implementation of appropriate permissions and optimize the performance through automation.
- Harden the network through secure deployment of security patches, system updated and protection from adversarial attacks.
- Be ready to tackle operating system and server administrations tasks and how to configure Firewalls, IDS and Reconnaissance attacks.
D. Key transferable skills
After studying the course you will be able to: - Become an independent self-learner to remain up-to-date in the field of network and more specifically on managing with Linux Operating System and Server side administration.
- Communicate effectively about requirements and ideas, handle the range of problems / issues related to operating system administration.
|
T802 Research Project
(16) Credit Hours
T802 is a Research Project course, with individual research topics selected by the students related to their pathway of study. (i.e. either Software Development of Information Security and Forensics) Teaching material therefore consists of guidance on research, data analysis, project report structure and writing.
Course Code |
T802 |
Course Title |
Research Project |
Pre-requisite |
- |
Credit Hours |
16 |
Course Description |
T802 is a Research Project course, with individual research topics selected by the students related to their pathway of study. (i.e. either Software Development of Information Security and Forensics) Teaching material therefore consists of guidance on research, data analysis, project report structure and writing. |
Course Objectives |
The aim of T802 is to enable students to carry out a significant piece of research in the subject area of their degree, and to write up the research and conclusions in a formal dissertation. The research will have professional relevance, but may or may not be directly associated with a company or other organization. In the process of following the module, students will: - Investigate in depth an issue or problem that is of professional relevance and/or personal interest to them, which may also be of relevance to an organization with which they have links – such as an employer, charity or non-governmental organization – and is of interest to the wider academic, business or professional community
- Develop their knowledge of recent research in their chosen topic, and its implications and application in different organizations
- Become competent in research methods:
- Develop the capacity to plan, organize and carry out an extended independent study at masters level
- Demonstrate self-direction and originality in tackling and solving problems
- Critically evaluate and reflect upon their own work
- Develop skills in the written communication of research work at masters level.
Students will learn how to develop a research proposal; carry out a literature search and write a critical review of the literature; select suitable research methods and integrate them within a research methodology; carry out research processes; analyze results to draw conclusions; and write up their research in the form of a dissertation. The students' research work will be related to their individual pathway of study (i.e. either the Software Development pathway or the Information Security and Forensics pathway).
|
Course Outcomes |
A. Knowledge and understanding
- Knowledge and understanding of the conduct of research processes at MSc level, from problem definition through defining, planning and carrying out a research, to final academic writing, in a selected field relevant to the qualification sought.
B. Cognitive skills
- Analyse complex situations in order to select issues or problem situations suitable for research
- Evaluate other research by comparing and contrasting findings in technical journals, proceedings and reports, in order to
- Establish the wider context of the issues or problems selected, and
- Derive research questions to be answered and/or hypotheses to be tested
- Select appropriate research methods and techniques l plan a programme of research
- Carry out a research programme involving the processes of observing, measuring and other forms of data collection as appropriate, making informed judgments in the absence of complete data
- Deal with complex issues both systematically and creatively taking account of legal and ethical issues
- Summarise and interpret observations and results, in order to produce information relevant to the research questions/hypotheses
- Synthesise arguments and draw conclusions from the information obtained
- Identify gaps in theory and specify further work to be carried out.
- Critically evaluate and reflect upon own work.
C. Practical and professional skills
- select appropriate texts, journals and reports, and assess applicability to a particular workplace scenario or area of academic or professional interest
- evaluate the work of other researchers and appraise new developments in the area of interest
- identify and define problems and issues in a professional context
- select appropriate research methods
- advocating the appropriate use of technologies and/or problem solving techniques
- Design and develop a research plan
- Carry out research without supervision
- observe and assess results
- draw conclusions
- Write detailed reports
- Operate within the legal and ethical constraints and procedures relevant to the area of research.
D. Key transferable skills
- Explore the demands of the work and formulate viable proposals for meeting those demands
- Plan to manage the work, and meet personal skill-development needs
- Advance own knowledge and understanding through independent learning
- Manage the work, adapting strategy to resolve a major complex problem and achieve the quality of outcomes required
- Communicate clearly knowledge, ideas, and conclusions about the students chosen specialist area using appropriate media, for specialist and non-specialist audiences and present research outcomes in a written dissertation.
|
T828-A Network Security-A
(4) Credit Hours
With organisations increasingly dependent on their information systems, there is a greater need to ensure that the underlying network infrastructure being used by these systems is secure. This module will provide students with the knowledge, understanding and practical experience of managing secure communication across a large-scale inter-network; the practical aspects of the course will be provided using Cisco network equipment and simulators.
Cisco Systems are market leaders in supplying networking equipment for the internet. They also have a well-established educational program for network professionals. T828 (parts A and B) is meant to provide students opportunity to study the important field of network security. Student will also be expected to undertake individual research to contextualise the Cisco studies in the broader security management environment, which will be accomplished in tandem with CISSP (certified information systems security professional) principles
Course Code |
T828-A |
Course Title |
Network Security-A |
Pre-requisite |
- |
Credit Hours |
4 |
Course Description |
With organisations increasingly dependent on their information systems, there is a greater need to ensure that the underlying network infrastructure being used by these systems is secure. This module will provide students with the knowledge, understanding and practical experience of managing secure communication across a large-scale inter-network; the practical aspects of the course will be provided using Cisco network equipment and simulators.
Cisco Systems are market leaders in supplying networking equipment for the internet. They also have a well-established educational program for network professionals. T828 (parts A and B) is meant to provide students opportunity to study the important field of network security. Student will also be expected to undertake individual research to contextualise the Cisco studies in the broader security management environment, which will be accomplished in tandem with CISSP (certified information systems security professional) principles |
Course Objectives |
The T828 (parts A and B) module aims to give students a holistic understanding of the fundamentals of network security together with the skills required by a network security professional. In particular, it aims to: - Provide an in-depth, theoretical understanding of network security management
- Provide students with the knowledge and skills necessary to design and support network security
- Provide an experience-oriented course that employs industry-relevant instructional approaches to prepare students for associate-level jobs in the industry
Enable students to have significant hands-on interaction with IT equipment to prepare them for certification exams and career opportunities.
|
Course Outcomes |
A. Knowledge and understanding
Once you have completed your study of this module, you will have knowledge and understanding of: - Network security threats
- Operations, Physical and Environmental Security
- Network infrastructure and devices
- Security Architecture and Design
- Authentication, Authorisation and Auditing
- Firewalls, Intrusion prevention
B. Cognitive skills
Once you have completed your study of this module, you will have the ability to: - Integrate knowledge and skills from various sources into a coherent whole, making the appropriate abstractions
- Deal with complex issues both systematically and creatively, making informed judgements in the absence of complete data
- Critically evaluate and reflect upon your own work
- Solve problems using network modelling tools and real equipment.
C. Practical and professional skills
Once you have completed your study of this module, you will have the professional skills to: - Prepare cases advocating the appropriate use of advanced security technologies
- Prepare to gain industry-recognised certification.
D. Key transferable skills
Once you have completed your study of this module, you will also be able to: - Develop your problem-solving skills and apply them independently to professional or equivalent level tasks/projects/functions
- Work with others to refine your ideas, leading to an improved understanding of key concepts within the computing systems context
- Build and maintain advanced networks using Cisco equipment.
|
T828-B Network Security-B
(4) Credit Hours
With organisations increasingly dependent on their information systems, there is a greater need to ensure that the underlying network infrastructure being used by these systems is secure. This module will provide students with the knowledge, understanding and practical experience of managing secure communication across a large-scale inter-network; the practical aspects of the course will be provided using Cisco network equipment and simulators.
Cisco Systems are market leaders in supplying networking equipment for the internet. They also have a well-established educational program for network professionals. T828 (parts A and B) is meant to provide students opportunity to study the important field of network security. Student will also be expected to undertake individual research to contextualise the Cisco studies in the broader security management environment, which will be accomplished in tandem with CISSP (certified information systems security professional) principles.
Course Code |
T828-B |
Course Title |
Network Security-B |
Pre-requisite |
- |
Credit Hours |
4 |
Course Description |
With organisations increasingly dependent on their information systems, there is a greater need to ensure that the underlying network infrastructure being used by these systems is secure. This module will provide students with the knowledge, understanding and practical experience of managing secure communication across a large-scale inter-network; the practical aspects of the course will be provided using Cisco network equipment and simulators.
Cisco Systems are market leaders in supplying networking equipment for the internet. They also have a well-established educational program for network professionals. T828 (parts A and B) is meant to provide students opportunity to study the important field of network security. Student will also be expected to undertake individual research to contextualise the Cisco studies in the broader security management environment, which will be accomplished in tandem with CISSP (certified information systems security professional) principles. |
Course Objectives |
The T828 (parts A and B) module aims to give students a holistic understanding of the fundamentals of network security together with the skills required by a network security professional. In particular, it aims to: - Provide an in-depth, theoretical understanding of network security management.
- Provide students with the knowledge and skills necessary to design and support network security
- Provide an experience-oriented course that employs industry-relevant instructional approaches to prepare students for associate-level jobs in the industry
Enable students to have significant hands-on interaction with IT equipment to prepare them for certification exams and career opportunities.
|
Course Outcomes |
A. Knowledge and understanding
Once you have completed your study of this module, you will have knowledge and understanding of: - Network security threats
- Network infrastructure and devices
- Cryptography and virtual private networks
- Information security risk management
B. Cognitive skills
Once you have completed your study of this module, you will have the ability to: - Integrate knowledge and skills from various sources into a coherent whole, making the appropriate abstractions
- Deal with complex issues both systematically and creatively, making informed judgements in the absence of complete data
- Critically evaluate and reflect upon your own work
- Solve problems using network modelling tools and real equipment.
C. Practical and professional skills
Once you have completed your study of this module, you will have the professional skills to: - Prepare cases advocating the appropriate use of advanced security technologies
- Prepare to gain industry-recognised certification.
D. Key transferable skills
Once you have completed your study of this module, you will also be able to: - Develop your problem-solving skills and apply them independently to professional or equivalent level tasks/projects/functions
- Work with others to refine your ideas, leading to an improved understanding of key concepts within the computing systems context
- Build and maintain advanced networks using Cisco equipment.
|
TM103 Computer Organization and Architecture
(4) Credit Hours
This module offers a clear and comprehensive survey about computer organization and architecture. It introduces the inner workings of a modern digital computer through an integrated presentation of fundamental concepts and principles
Course Code |
TM103 |
Course Title |
Computer Organization and Architecture |
Pre-requisite |
- |
Credit Hours |
4 |
Course Description |
This module offers a clear and comprehensive survey about computer organization and architecture. It introduces the inner workings of a modern digital computer through an integrated presentation of fundamental concepts and principles |
Course Objectives |
- To emphasize on the concept of computer organization.
- To emphasize on the concept computer architecture.
- To comprehend the different core concepts behind the hardware layer of a computer system.
- To recognize the mathematical concepts of the low level computer structure (circuits and gates).
- To know the processor's instruction sets architecture and implementation.
- To recognize the memory organization concept and methods
|
Course Outcomes |
A. Knowledge and understanding
The module provides student with an understanding of: - Historical developments of computers.
- The Von-Neumann Model.
- Data representation and arithmetic in Computer Systems.
- Boolean Algebra and Digital Logic.
- Assembly language of an intuitive architecture (MARIE).
- Memory organization and addressing modes.
- Cache memory mapping Schemes.
B. Cognitive skills
To be able to
- Identify the different parts of any computer system and understand their roles.
- Understand the instruction set of any modern computer system.
- Evaluate the performance of modern computer systems.
C. Practical and professional skills
To be able to
- Have an awareness of the process of designing, writing and testing MARIE assembly programs.
- Use low level programming skills appropriate to a task.
- Ability to use the MARIE and data path simulator software.
D. Key transferable skills
To be able to - Interact effectively within a group using electronic conferencing techniques.
- Contribute to discussions on a conference.
- Improve own learning and performance.
- Communicate effectively about testing strategies, design and low level codes.
- Use electronic media (the web and electronic conferencing) for information retrieval and communication.
|
TM105 Introduction to Programming
(4) Credit Hours
This module is an introductory level programming module and it is meant to provide basic foundation in computer programming to students. Students will learn how to develop solutions (algorithms) using pseudocode to solve simple problems. Thereafter, they will learn how to implement these solutions using a programming language (Java). This module serves as foundation for second level programming modules.
Course Code |
TM105 |
Course Title |
Introduction to Programming |
Pre-requisite |
- |
Credit Hours |
4 |
Course Description |
This module is an introductory level programming module and it is meant to provide basic foundation in computer programming to students. Students will learn how to develop solutions (algorithms) using pseudocode to solve simple problems. Thereafter, they will learn how to implement these solutions using a programming language (Java). This module serves as foundation for second level programming modules. |
Course Objectives |
The module aims to: - Introduce the technique of solving simple problems using pseudocode.
- Introduce Java programming via writing, compiling and executing simple programs.
- Present how to store and deal with data including variables, constants, and expressions.
- Cover deeply the concepts of program control structure and illustrate each concept with a diagrammatic notation using UML.
- Present how these concepts are implemented in Java.
- Introduce the concept of modularization and how to write Java methods.
- Present how to deal with basic data structures like strings, arrays and two dimensional arrays.
|
Course Outcomes |
A. Knowledge and understanding
After studying the module, the student will be able to: - Understanding of the design and programming processes
- Knowledge of the main constructs and mechanisms in programming using Java language.
- Understanding of the techniques used in developing a medium Java application.
- Understanding of the basic data structures like strings, arrays and two dimensional arrays.
B. Cognitive skills
After studying the module, the student should be able to: - Describe and apply key concepts and techniques in software design and development.
- Analyse and abstract away from the details of a problem.
- Design and formulate an appropriate solution to a problem and evaluate it.
- Deal professionally with the basic data structures.
C. Practical and professional skills
After studying the module, the student should be able to: - Create, develop and trace Java programs.
- Use software tools such as a Java IDE and an On-line Java compiler.
- Use appropriate programming skills.
- Traverse data in the basic data structures in a professional way.
D. Key transferable skills
After studying the module, the student should be able to: - Find information from a range of sources to support a task.
- Plan medium tasks.
- Use Java libraries.
- Use appropriate numerical, mathematical and abstraction skills.
|
TM112 Introduction to Computing and Information Technology 2
(8) Credit Hours
This module will further develop and extend the skills and knowledge that students will have built up by studying its partner module TM111. The overall focus of TM112 is on developing the students’ problem solving skills.
Course Code |
TM112 |
Course Title |
Introduction to Computing and Information Technology 2 |
Pre-requisite |
- |
Credit Hours |
8 |
Course Description |
This module will further develop and extend the skills and knowledge that students will have built up by studying its partner module TM111. The overall focus of TM112 is on developing the students’ problem solving skills. |
Course Objectives |
- Help students to practice the use of computing and information technologies to solve problems.
- Explore a variety of information technologies, from basic computer architecture, cloud computing, mobile/wireless and location-based computing Introduces the students to algorithmic thinking and problem-solving skills using examples from everyday life.
- Enhance student's knowledge about implementing solutions to simple problems in a visual programming.
- Focus on how to examine computing and information technology problems and solutions in their real-world context, with a focus on information security
- Develop numeracy skills (including algebra) in the context of information technologies and programming activities
- Prepare the student for further academic study by helping him develop his study skills
|
Course Outcomes |
A. Knowledge and understanding
- Understand the fundamental principles, concepts and techniques underlying Computing and IT.
- Identify a range of models to support the analysis and design of Computing and IT systems
- Know how to implement solutions to simple problems using Python programming language.
- Be aware of the of the range of situations in which Computing and IT systems are used, the ways in which people interact with them, and the possibilities and limitations of such systems
- Understand the ethical, social and legal issues that can be associated with the development and deployment of Computing & IT systems
- Describe major trends in Computing and IT and of the implications of these trends
B. Cognitive skills
- Evaluate key computing and IT concepts in a range of contexts.
- Apply appropriate techniques and tools for abstracting, modelling, problem solving, designing and testing computing and IT systems.
- Compare, contrast, critically analyze and refine specifications and implementations of software systems and/or simple hardware systems.
- Carry out a project in computing and IT that applies and extends student's knowledge and understanding, and critically reflect on the processes involved and the outcomes of student's work.
C. Practical and professional skills
- Communicate information, arguments, ideas and issues clearly and in appropriate ways, bearing in mind the audience for and the purpose of your communication.
- Use appropriate numerical and mathematical skills to carry out calculations and analyze data.
- Work independently, planning, monitoring, reflecting on and improving your own learning
- Demonstrate study skills at a level appropriate to higher education, such as study planning, learning from feedback and reading actively
D. Key transferable skills
- Evaluate computing and IT systems, using appropriate simulation and modelling tools where appropriate
- Use a range of resources to help you develop as an independent learner.
- Use information literacy skills, computers and software packages appropriate to the workplace.
- Communicate appropriately with your tutor and other students using email, online conferences and forums.
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TM240 Computer Graphics and Multimedia
(4) Credit Hours
This module targets to cope with the current advances in computer graphics and multimedia and providing clear and concise explanations of the basic concepts of computer graphics and multimedia. This module is expected to enable students to gain understanding of basics of modelling, viewing, animation principles in both 2D and 3D and the impact of such topics on modern multimedia aspects.
Course Code |
TM240 |
Course Title |
Computer Graphics and Multimedia |
Pre-requisite |
- |
Credit Hours |
4 |
Course Description |
This module targets to cope with the current advances in computer graphics and multimedia and providing clear and concise explanations of the basic concepts of computer graphics and multimedia. This module is expected to enable students to gain understanding of basics of modelling, viewing, animation principles in both 2D and 3D and the impact of such topics on modern multimedia aspects. |
Course Objectives |
- Introduce all aspects of the hardware and software components of computer graphics.
- Provide Knowledge to perform 2D and 3D geometric transformations.
- Describe the algorithms for projection, viewing and clipping of graphs.
- Identify how to graphics software and hardware.
- Provide Knowledge to evaluate the performance of graphics systems.
|
Course Outcomes |
A. Knowledge and understanding
Upon completing this module, student should be able to: - Describe the basic principles of computer graphics.
- Explain the different operations in graphics systems such as transformations, projects, views, texturing, lighting, shading, animation and clipping.
- Select the suitable hardware and software of a graphics system for a specific application.
- Explain graphics algorithms.
- Develop graphics applications in Java.
B. Cognitive skills
Upon completing this module, student should be able to: - Evaluate graphics hardware and software.
- Compare the different computer graphics applications.
- Select the suitable graphics hardware for different applications.
- Evaluate 3D modelling techniques.
C. Practical and professional skills
Upon completing this module, student should be able to: - Develop graphics applications using advanced APIs
- Apply computer graphics concepts and techniques to develop graphics and visualization applications
- Model 3D objects.
D. Key transferable skills
Upon completing this module, student should be able to: - Effectively communicate oral and written.
- Work in a team.
- Effectively manage resources and time.
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TM254 Managing IT: the why, the what and the how
(8) Credit Hours
This module provides a basis for further study of IT management, and introduces the student to many of the concepts that are tested by the BCS Professional Certification in IS Project Management and IT Service Management. In addition, the module will help the student to develop important skills particularly relevant to the workplace, such as written communication skills, information literacy, independent learning, entrepreneurship, critical analysis and team working. In an IT context, the module will provide practitioners with relevant experience, skills and insight into project management and service management. This module aims to
Course Code |
TM254 |
Course Title |
Managing IT: the why, the what and the how |
Pre-requisite |
|
Credit Hours |
8 |
Course Description |
This module provides a basis for further study of IT management, and introduces the student to many of the concepts that are tested by the BCS Professional Certification in IS Project Management and IT Service Management. In addition, the module will help the student to develop important skills particularly relevant to the workplace, such as written communication skills, information literacy, independent learning, entrepreneurship, critical analysis and team working. In an IT context, the module will provide practitioners with relevant experience, skills and insight into project management and service management. This module aims to
|
Course Objectives |
The overall aim of the module is to give students an introduction to and understanding of the principles, concepts and techniques associated with Project Management and Service Management.
The context for the module is Computing and Information Technology, thus project management and service management principles and problems that are specific to this context will be emphasised. Alongside project management and service management will run further strands for database management systems and team working that will be used to illustrate and to put into practice concepts learnt in the other parts of the module. This will provide students with a practical experience of working in a team that is necessary for BCS accreditation and to meet the requirements of the Benchmark Statement in Computing.
|
Course Outcomes |
A. Knowledge and understanding At the end of the module, learners will have knowledge and understanding of: A1. Demonstrate knowledge and critical understanding of the ITIL Service Management terminology, practices and framework; the structure and concepts of ITIL, and the core principles of service management. A2. Demonstrate knowledge and critical understanding of the principles, concepts and techniques associated with the process of project management.
A3. Describe the various types of project and project lifecycles and apply them in an information technology context. A4. Reflect on the issues and processes that relate to the collaborative planning and execution of an information technology project in a virtual context
B. Cognitive skills
At the end of the module learners will have developed the following cognitive skills: B1. Apply your knowledge and understanding to a range of issues and problems in Service Management. B2. Use a variety of techniques to draw up a project plan that will meet the competing demands of scope, time, cost and quality. B3. Critically appraise a project and its organisation, management, process and outcomes, and reflect on the experience of working in a small team. B4. Apply your knowledge and understanding to a constrained problem and analyse the outcomes. B5. Analyse and specify requirements B6. Apply the analytical skills of analysis and design B7. Identify key elements of problems and apply problem solving techniques in designing an appropriate model C. Practical and professional skills
At the end of the module, learners will be able to: C1. Communicate effectively about the subject, choosing appropriate media, using appropriate notations, terminology and references for the subject domain C2. Plan and manage your own time to study and to interact electronically with others. C3. Demonstrate numeracy in understanding, reasoning about and presenting project and service management problems from a quantitative perspective e.g. risk management issues that involve resources such as people, time and money. C4. Provide appropriate, effective documentation for the development process D Key transferable skills
At the end of the module, learners will be able to: D1. Demonstrate an awareness of the ethical issues relevant to project management and service management. D2. Demonstrate an understanding of the professional certification frameworks in Project Management and Service Management. D3. Have an awareness of the software development process D4. Plan a complex task
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TM255 Communication and Information Technologies
(8) Credit Hours
The module is designed to be a broad level 2 ICT module covering subjects such as wireless communications, collaborative working, interaction design and computer security. It particularly supports the ITC pathway of the IT and Computing qualification. The module is specifically designed to progress students towards their study of level 3 ICT modules such as TM355 Communications technology. This is achieved through the choice of technological topics introduced and the development of appropriate study skills and communication skills.
Course Code |
TM255 |
Course Title |
Communication and Information Technologies |
Pre-requisite |
|
Credit Hours |
8 |
Course Description |
The module is designed to be a broad level 2 ICT module covering subjects such as wireless communications, collaborative working, interaction design and computer security. It particularly supports the ITC pathway of the IT and Computing qualification. The module is specifically designed to progress students towards their study of level 3 ICT modules such as TM355 Communications technology. This is achieved through the choice of technological topics introduced and the development of appropriate study skills and communication skills. |
Course Objectives |
Module basic aims: • Increase students’ knowledge of the basic principles of communication and information systems and technologies, and the issues relating to their use • Develop students’ ability to apply their understanding of communication and information technologies to learn about new or unfamiliar systems and technologies • develop a variety of skills appropriate to a practitioner in information and communication technologies • teach student work as a group, where the collaboration is via communication technologies.
|
Course Outcomes |
A. Knowledge and understanding At the end of the module, learners will have knowledge and understanding of: A1.Understand the key principles and concepts of digital communication and information systems and be aware of their major trends and developments. A2.Have a clear understanding of the key principles of interaction design, its processes and the importance of user centred design. A3.Understand the key concepts, issues and technologies associated with online communication and collaboration. A4.Be able to demonstrate your understanding of the key principles and methods of securing digital data an
B. Cognitive skills
At the end of the module learners will have developed the following cognitive skills: B1.Apply your understanding of the communication and information systems that feature in the module in specified contexts and updating yourself about these systems and technologies as necessary. B2.Use knowledge gained from the module to help you to describe and explain the technologies of communication and information systems and to understand new or unfamiliar communication and information systems in specified situations B3.Evaluate or compare communication and information systems suggested for a particular need and give a justified recommendation on their appropriateness. B4.Select, adapt and apply suitable interaction design approaches and techniques towards the design of an interactive product.
C. Practical and professional skills
At the end of the module, learners will be able to: C1.Critique draft materials in order to improve them C2.Use standard office and specialised software effectively to support your work, both as an individual and in collaboration with others in a distance setting. C3.Describe and discuss some of the technological, social, legal, ethical and personal issues that relate to communication and information systems and technologies
D Key transferable skills
At the end of the module, learners will be able to: D1.Communicate complex information, arguments and ideas effectively on a range of topics relating to communication and information systems through a variety of different media, using styles, language and images appropriate to purpose and audience. D2.Use numerical skills to perform basic calculations relating to communication and information systems and analyse data. D3.Work effectively as part of a group in a distance setting where collaboration is undertaken via computer-mediated communication. D4.Communicate effectively about requirements, design, and evaluation activities relating to interactive products.
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TM260 Security, ethics and privacy in IT and Computing
(4) Credit Hours
The ITC specialists must conduct ethically by adhering to the ITC code of conduct and understand the social, professional and legal context of IT and computing,
Course Code |
TM260 |
Course Title |
Security, ethics and privacy in IT and Computing |
Pre-requisite |
- |
Credit Hours |
4 |
Course Description |
The ITC specialists must conduct ethically by adhering to the ITC code of conduct and understand the social, professional and legal context of IT and computing, |
Course Objectives |
The module aims to: increase students awareness of the ethical, professional and legal issues of IT and computing and the responsible use of ITC.
Upon the successful completion of this module students will be able to: - Consider the ethical issues related to ITC systems.
- Act ethically while making any profession related decisions.
- Apply all legal principles to intellectual property and ITC related situation.
- understand the emerging issues related to ethics in cyberspace
- Develop a sound methodology in resolving ethical conflicts and crisis.
- Understand the social and ethical issues in the professional practice of computing and technology and their impact on the society..
- Look up relevant ethical standards as developed by the ACM.
- State several examples of important ethical principles as they apply to computer science related situations.
- Identify the ethical issues that relate to computer science in real situations they may encounter and decide whether a given action is ethical as regards computer science professional ethics, and justify that decision.
- Research and write a professional-quality paper about a topic relating to social, legal, and ethical implications of computer science.
|
Course Outcomes |
A. Knowledge and understanding
After completing this module, students will be able to: - Understand how ITC could raise social issues and ethical dilemmas
- Understand the historical background of some social, legal, philosophical, political, constitutional and economical issues related to ITC
- Describe current social and legal developments related to computers and computer crime
- Recognize the existence of computer abuse cases , laws pertaining to them
- Appreciate the value of technology and identify the ethical and moral situations that must be faced and dealt with.
- Deepen their understanding of technology and its effects on society.
B. Cognitive skills
After completing this module, students will be able to: - Evaluate the legal and professional impact of ITC in real life contexts
- Analyse the effect of ethical issues on IT industry and society
C. Practical and professional skills
After completing this module, students will be able to: - Effectively identify and analyze professional and legal issues;
- Promote an ethics of computing in practice;
- Resolve dilemmas related to ethical, professional and legal ITC issues
D. Key transferable skills
After completing this module, students will be able to: - Communicate effectively in writing about ethical, legal and professional issues in the ITC context
- Become an independent learner.
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TM270 Artificial intelligence
(8) Credit Hours
Artificial intelligence and Machine learning skills are becoming more and more essential in the modern job market. Machine Learning Engineer was ranked as one of the top most demanded employees based on the incredible growth of job openings and the average base salary.
In this module the student will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI basic concepts and terms like symbolic AI, optimization and neural networks.
Course Code |
TM270 |
Course Title |
Artificial intelligence |
Pre-requisite |
|
Credit Hours |
8 |
Course Description |
Artificial intelligence and Machine learning skills are becoming more and more essential in the modern job market. Machine Learning Engineer was ranked as one of the top most demanded employees based on the incredible growth of job openings and the average base salary.
In this module the student will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI basic concepts and terms like symbolic AI, optimization and neural networks.
|
Course Objectives |
This module aims to provide an introduction to the basic principles, techniques, and applications of Artificial Intelligence. Coverage includes symbolic AI, game playing, planning, optimization and neural networks basics. Students will refine their programming skills developed during (TM110) using AI libraries as well as experiencing programming in AI language tools. Potential areas of further exploration include robotics, natural language processing, and computer vision.
|
Course Outcomes |
A. Knowledge and understanding Upon completion of this module the student will: - Define the aims and motivations for AI.
- Discover AI concepts and terms like machine learning, neural networks and deep learning.
- Recognize issues and concerns surrounding AI such as ethics and bias, & jobs.
- Recite key concepts and methods in evolutionary computation.
B. Cognitive skills Upon completion of this module the student will be able to: - Distinguish the different Cognitive Computing phases (Perception, Learning, Reasoning)
- Associate the different AI primitives to different AI applications.
- Select and use appropriate mathematical representations for a range of problem solving systems;
- Compare, contrast and evaluate competing approaches to computational problem solving and the simulation of intelligence;
C. Practical and professional skills Upon completion of this module the student will be able to: - Construct different pre-processing primitives for different AI applications
- Apply different methods for classification and regression using traditional AI methods
- Experiment with different tools for decision support and planning
- Choose among the different models hyper parameters according to the application and analysis of results.
D. Key transferable skills
Upon completion of this module the student will be able to: - Measure the different performance indicators for individual AI systems.
- Rank the different AI methods
- Adapt individual Method according to the problem in hand.
- Assemble different methods for creating appropriate AI
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TM271 Machine Learning and Deep learning
(8) Credit Hours
TM271 is a compulsory module in the BSc (Hons) Artificial Intelligence qualification. Machine Learning and Deep Learning techniques are essential for regression and classification tasks and for extracting meaningful insights from data. Students will also study the important techniques of Deep Learning and the strengths and limitations of Machine Learning and AI systems in this module. This module aims to provide students with an in-depth introduction to two main- areas of Machine Learning: supervised and unsupervised. That covers the basics of ML and the deep learning approaches.
Course Code |
TM271 |
Course Title |
Machine Learning and Deep learning |
Pre-requisite |
|
Credit Hours |
8 |
Course Description |
TM271 is a compulsory module in the BSc (Hons) Artificial Intelligence qualification. Machine Learning and Deep Learning techniques are essential for regression and classification tasks and for extracting meaningful insights from data. Students will also study the important techniques of Deep Learning and the strengths and limitations of Machine Learning and AI systems in this module. This module aims to provide students with an in-depth introduction to two main- areas of Machine Learning: supervised and unsupervised. That covers the basics of ML and the deep learning approaches. |
Course Objectives |
The module aims to learn the concepts behind several machine learning algorithms without going deeply into the mathematics and gain practical experience applying them. It will cover main models and algorithms for regression, classification, clustering and probabilistic classification. Topics such as linear and logistic regression, regularization, probabilistic (Bayesian) inference, SVMs and neural networks, clustering, and dimensionality reduction. The module will assume general familiarity with linear algebra, probability theory, statistics, and programming in Python.
|
Course Outcomes |
A. Knowledge and understanding At the end of the module, learners will be expected to: - Identify the basic mechanisms of machine/deep learning techniques, including their appropriate usage, limitations, and alternatives.
- Recognize the key elements and tools used to develop machine/deep learning-based systems, together with their strengths and weaknesses.
- Identify the social, professional, legal, and ethical issues associated with machine learning systems.
B. Cognitive skills At the end of the module learners will be expected to: - Explain the pros, cons, and limitations of machine/deep learning techniques.
- Justify why machine/deep learning tools and techniques are either suitable or not for a particular problem or domain.
- Choose appropriate techniques and tools for designing, implementing, and testing machine/deep learning-based systems, and be aware of their limitations.
- Critically evaluate machine/deep learning tools and techniques to solve real-world problems.
C. Practical and professional skills At the end of the module, learners will be expected to: - Analyse and evaluate problems and plan strategies for their solution using the suitable machine/deep learning techniques if applicable.
- Implement a wide range of machine/deep learning techniques within the context of a given task and dataset, using the appropriate tools
- Assess the performance of the adopted machine/deep learning techniques including limits of applicability.
- Select and appropriately pre-process a dataset for machine learning and evaluate how biases inherent in the data will affect the reliability and fairness of the trained machine/deep learning-based system.
D. Key transferable skills
At the end of the module, learners will be expected to: - Relate the strengths, weaknesses, and limitations of machine/deep learning to wider social issues, including social justice, privacy and security, and access to resources and services.
- Communicate information, arguments, ideas, and issues clearly and in appropriate ways, considering the audience and purpose of the communication.
- Select and use accurately analytical techniques to solve problems.
- Develop skills to become an independent lifelong learner, as the field moves on.
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TM275 Parallel and Distributed Systems
(4) Credit Hours
This course introduces students to the fundamentals and techniques of parallel and distributed computing. Topics to be covered include: parallel and distributed computing, concurrency, distributed computing paradigms, inter-process communications, operating system support, client server model, and models of parallel machines.
This course has either a direct or indirect links with other courses, including: Introduction to computing and information technology (TM112), Computer Architecture and Organization (TM103), and Python Programming (M110). In addition, students will be capable to choose the proper environments of their final year projects based on the knowledge and skills they gain from this course. Understanding issues like processors capabilities and intercommunication between cores and processors are essential for building high performance systems.
Course Code |
TM275 |
Course Title |
Parallel and Distributed Systems |
Pre-requisite |
|
Credit Hours |
4 |
Course Description |
This course introduces students to the fundamentals and techniques of parallel and distributed computing. Topics to be covered include: parallel and distributed computing, concurrency, distributed computing paradigms, inter-process communications, operating system support, client server model, and models of parallel machines.
This course has either a direct or indirect links with other courses, including: Introduction to computing and information technology (TM112), Computer Architecture and Organization (TM103), and Python Programming (M110). In addition, students will be capable to choose the proper environments of their final year projects based on the knowledge and skills they gain from this course. Understanding issues like processors capabilities and intercommunication between cores and processors are essential for building high performance systems.
|
Course Objectives |
On successful completion of this course students will be able to:
- Provides students with an opportunity to sample some key areas in parallel and distributed computing.
- Develop critical skills for deployment in the field of computing and IT industry.
- Recognize the professional and ethical issues associated with the deployment of different parallel and distributed methodologies in digital systems.
- Use the application of fundamental Computer Science methods and algorithms in the development of parallel applications.
- Facilitate the management of students' self-learning development in term of time management and self-organization skills.
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Course Outcomes |
A. Knowledge and understanding After studying the module, learners will be able to: A1: Develop and apply knowledge of parallel and distributed computing techniques and methodologies A2: Understand the fundamental aspects of parallel and distributed processing, taxonomies of parallel systems, and performance measures for parallel systems. A3: Understand the theoretical limitations of parallel computing.
B. Cognitive skills After studying the module, learners will be able to: B1: Explain the design, testing, and performance analysis of a software system, and to be able to communicate that design to others. B2: Formulate and evaluate a hypothesis by proposing, implementing and testing a project. B3: Analyze and critically discuss research papers both in writing and in class
C. Practical and professional skills After studying the module, learners will be able to: C1: Apply design, development, and performance analysis of parallel and distributed applications. C2: be able to design and analyze parallel algorithms for a variety of problems and computational models, C3: implement parallel applications on modern parallel computing systems, and be able to measure, tune, and report on their performance.
D. Key transferable skills
After studying the module, learners will be able to: D1: Develop your skills in communicating information accurately and appropriately D2: Develop your skills in finding, selection and evaluation of different paradigms and techniques. D3: Develop your skills in reviewing and monitoring your own learning.
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TM276 Software Development Processes and Methodologies
(4) Credit Hours
Software is quickly becoming integral part of human life as we see more and more automation and technical advancements. Just like we expect car to work all the time and can't afford to break or reboot unexpectedly, software industry needs to continue to learn better way to build software if it were to become integral part of human life.
In this course, you will get an overview of how software teams work? What processes they use? What are some of the industry standard methodologies? What are pros and cons of each? You will learn enough to have meaningful conversation around software development processes.
The module covers the importance of developing software in an iterative process by means of established methods.
Course Code |
TM276 |
Course Title |
Software Development Processes and Methodologies |
Pre-requisite |
|
Credit Hours |
4 |
Course Description |
Software is quickly becoming integral part of human life as we see more and more automation and technical advancements. Just like we expect car to work all the time and can't afford to break or reboot unexpectedly, software industry needs to continue to learn better way to build software if it were to become integral part of human life.
In this course, you will get an overview of how software teams work? What processes they use? What are some of the industry standard methodologies? What are pros and cons of each? You will learn enough to have meaningful conversation around software development processes.
The module covers the importance of developing software in an iterative process by means of established methods. |
Course Objectives |
The module covers the importance of developing software in an iterative process by means of established methods. After completing this course, a learner will be able to
- Apply core software engineering practices at conceptual level for a given problem.
- Compare and contrast traditional, agile, and lean development methodologies at high level. These include Waterfall, Rational Unified Process, V model, Incremental, Spiral models and overview of agile mind-set.
- Propose a methodology best suited for a given situation.
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Course Outcomes |
A. Knowledge and understanding Upon completing this module, learners will be able to:
A1. Account for different principles, methods, models and technologies for development of software systems and its included parts A2. Describe the elements of a basic software development process and illustrate the variety of different life cycles. A3. Acquire the knowledge of processes that are used to implement the software, verify and validate the software, deploy the software and maintain the software A4. Identify a range of situations in which computer systems are used, the ways in which people interact with them, and the ethical, social and legal problems that computer software can create.
B. Cognitive skills Upon completing this module, learners will be able to: B1. Reflect critically on the development process and its components to evaluate the results. B2. Explain the part played by a system/software development method, and compare the approach/structure and appropriate application of a range of standard methods. B3. Analyse problems, and design and apply core software engineering principles and practices at conceptual level for a given problem.
C. Practical and professional skills At the end of the module, learners will be able to: C1. Practice and evaluate a variety of software engineering approaches to developing and evolving software. C2. Propose a methodology best suited for a real world problem and justify the design decisions. C3. Understand, though experience, the practical challenges associated with the development of a significant software system.
D. Key transferable skills
At the end of the module, learners will be able to: D1. Show an understanding of the professional and legal duties software engineers owe to their employers, employees, customers and the wider public. D2. Be able to draw on a wide variety of materials, and not just the block materials in order to progress your learning D3. Organize their own learning and success to the point that they are ready to continue learning after they graduate.
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TM280 Smart IoT Systems
(3) Credit Hours
Internet of Things (IoT) is presently a trending technology worldwide. Government, academia, and industry are involved in different aspects of research, implementation, and business with IoT. IoT is taking part of different application domains, including: agriculture, space, healthcare, manufacturing, construction, water, and mining. IoT-based applications such as innovative shopping system, infrastructure management in both urban and rural areas, remote health monitoring and emergency notification systems, and transportation systems, are gradually relying on IoT based systems. Therefore, it is very important to learn the fundamentals of this emerging technology.
Other modules in the taught module component of the qualification have a relation to this course, including TM270 (Artificial Intelligence); TM271 (Machine Learning and Deep learning); TM112 (Introduction to computing and information technology) TM471 (The computing and IT project).
Course Code |
TM280 |
Course Title |
Smart IoT Systems |
Pre-requisite |
|
Credit Hours |
3 |
Course Description |
Internet of Things (IoT) is presently a trending technology worldwide. Government, academia, and industry are involved in different aspects of research, implementation, and business with IoT. IoT is taking part of different application domains, including: agriculture, space, healthcare, manufacturing, construction, water, and mining. IoT-based applications such as innovative shopping system, infrastructure management in both urban and rural areas, remote health monitoring and emergency notification systems, and transportation systems, are gradually relying on IoT based systems. Therefore, it is very important to learn the fundamentals of this emerging technology.
Other modules in the taught module component of the qualification have a relation to this course, including TM270 (Artificial Intelligence); TM271 (Machine Learning and Deep learning); TM112 (Introduction to computing and information technology) TM471 (The computing and IT project).
|
Course Objectives |
This module aims to achieve the following aims:
- Describe what IoT is and how it works today.
- Recognise the factors that contributed to the emergence of IoT.
- Familiarize students with practical use of hardware, software, communication and computing systems to create components of measurement networks for the IoT.
- Students design and implement a complete IoT measurement network connected to the computing cloud.
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Course Outcomes |
A. Knowledge and understanding At the end of the module, learners will be expected to: A1: Define the infrastructure for supporting IoT deployments A2: Understand theory and practice of IoT that includes identifying associated threats and policies. A3: Describe the governing principles of IoT operations and management.
B. Cognitive skills At the end of the module learners will be expected to: B1: Recognise the factors that contributed to the emergence of IoT. B2: Design and program IoT devices. B3: Use real IoT protocols for communication
C. Practical and professional skills At the end of the module, learners will be expected to: C1: Design an IoT device to work with a Cloud Computing infrastructure. C2: Transfer IoT data to the cloud and in between cloud providers. C3: Undertake ongoing learning to keep up-to-date IoT developments.
D. Key transferable skills
At the end of the module, learners will be expected to: D1: Analyse problems effectively within computing environments using appropriate personal and technical skills. D2: Formulate arguments and make informed decisions in choosing appropriate techniques in solving a range of technological problems.
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TM290 Cryptography and Internet Security
(3) Credit Hours
Nowadays, people shop online, work online, play online. As our lives become increasingly dependent on digital services, the need arises to protect our personal information from being maliciously intercepted, disrupted, or misused.
Course Code |
TM290 |
Course Title |
Cryptography and Internet Security |
Pre-requisite |
- |
Credit Hours |
3 |
Course Description |
Nowadays, people shop online, work online, play online. As our lives become increasingly dependent on digital services, the need arises to protect our personal information from being maliciously intercepted, disrupted, or misused. |
Course Objectives |
The aims and objectives of this module are to:
- Define the threats to network security, and describe the differences between them.
- Describe encryption techniques, including symmetric and asymmetric encryption methods.
- Explain the most widely used encryption algorithms and standards, with focus on internet security.
- Allow students to perform independent research in the area and to critically read and analyse third party material.
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Course Outcomes |
A. Knowledge and understanding
Upon completing this module, students will be able to:
- Describe the operation of symmetric ciphers
- Define and explain the differences between different encryption algorithms and standards
- Describe the operation of asymmetric ciphers
- Analyse and compare the performance of different encryption methods
- Design and implement simple encryption algorithms
- Define the most common threats to internet security, explain their operation, and discuss their differences
- Describe the protocols and countermeasures used for protecting internet traffic
B. Cognitive skills
Upon completing this module, students will be able to: - Recognise the threats to online security
- Read, evaluate, and critically review technical documents and extract useful information from these documents on topics related to cryptography and internet security
C. Practical and professional skills
Upon completing this module, students will be able to: - Use the studied concepts to analyse and assess the efficiency of different encryption standards
- Identify the threats to internet security and take appropriate countermeasures
D. Key transferable skills
Upon completing this module, students will be able to: - Demonstrate independent self-learning capabilities in order to tackle more advanced topics and remain up-to-date in the field of cryptography and internet security
- Employ your technical writing skills on topics related to cryptography and internet security
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TM291 Management Information System
(3) Credit Hours
This module introduces the use and relevance of information systems to managers and enterprises. Rather than providing an in depth technological treatment of information systems, this module prepares students as future managers to assess the impact of information systems on a particular enterprise. This module also introduces students to a range of skills required to manage information systems projects. It explores current Information Systems concepts and technologies. Students learn how information systems give a business or organization a competitive edge by providing technologies that help managers to plan, control and make decisions.
Course Code |
TM291 |
Course Title |
Management Information System |
Pre-requisite |
- |
Credit Hours |
3 |
Course Description |
This module introduces the use and relevance of information systems to managers and enterprises. Rather than providing an in depth technological treatment of information systems, this module prepares students as future managers to assess the impact of information systems on a particular enterprise. This module also introduces students to a range of skills required to manage information systems projects. It explores current Information Systems concepts and technologies. Students learn how information systems give a business or organization a competitive edge by providing technologies that help managers to plan, control and make decisions. |
Course Objectives |
Aspects of business that were once seen in isolation – the people, organisation, process, information and technology – are now expected to operate as part of a seamless whole, both within and across enterprises. Information systems managers are responsible for delivering this seamless integration efficiency. This module aims to:
1. Explain basic concepts for IT/IS management 2. Discuss organizational, business and strategic issues surrounding IT/IS, and 3. Analyse and evaluate uses of strategic IT/IS in practice.
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Course Outcomes |
A. Knowledge and understanding
Upon completing this module, students should be able to: - Define information, strategy and customer-facing (user-centred) design theories.
- Compare the impact of different types of information technologies and systems in the enterprise and competitive environment.
- Select information systems as a basis for sustainable competitive advantage.
- Identify the issues that must be addressed in managing information systems projects and processes across various boundaries (organisational, cultural, legal and geographical).
- Describe the life cycle methodologies and methods involved in developing and managing information systems in a global competitive environment.
B. Cognitive skills
Upon completing this module, students should be able to: - Demonstrate a conceptual grasp of information, strategy and user-centred (customer-facing) design theories.
- Distinguish between different types of information systems and recognise enterprise-wide, innovative methods of reducing costs and improving service through management information systems.
- Compare and contrast the implications on the efficiency and effectiveness of different IT competitive strategies and their sustainability in the long term.
C. Practical and professional skills
Upon completing this module, students should be able to: - Reflect, analyse and interpret information on contemporary information systems management issues.
- Debate controversial issues relating to information systems deployment in organisations
D. Key transferable skills
Upon completing this module, students should be able to: - Develop skills to effectively participate in a group.
- Synthesise data and use application of concepts from other modules.
- Improve case analysis skills.
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TM295 System Modelling
(3) Credit Hours
System modelling is used as an essential part of the software development process; it also referred to as software modelling in this context. Models are built and analysed prior to the implementation of the system, and are used to direct the subsequent implementation. Modelling can be defined as considering the system from different views (or perspectives) in order to provide a better understanding of it. These views include (among others) requirements models, static models, and dynamic models of the software system. These different views can be further developed, understood, and communicated through the use of graphical modelling languages such as the Unified Modelling Language (UML).
The module focuses on how to use adequate models to express software at all levels of development; from the initial specification to implementation, with a special attention paid to UML.
Course Code |
TM295 |
Course Title |
System Modelling |
Pre-requisite |
- |
Credit Hours |
3 |
Course Description |
System modelling is used as an essential part of the software development process; it also referred to as software modelling in this context. Models are built and analysed prior to the implementation of the system, and are used to direct the subsequent implementation. Modelling can be defined as considering the system from different views (or perspectives) in order to provide a better understanding of it. These views include (among others) requirements models, static models, and dynamic models of the software system. These different views can be further developed, understood, and communicated through the use of graphical modelling languages such as the Unified Modelling Language (UML).
The module focuses on how to use adequate models to express software at all levels of development; from the initial specification to implementation, with a special attention paid to UML.
|
Course Objectives |
This module aims to introduce students to the software development process in general with emphasis on the software modelling and analysis phase. The unified modelling language is used throughout the module to illustrate the different models.
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Course Outcomes |
A. Knowledge and understanding
Upon completing this module, students will be able to: - Describe the software engineering lifecycle and in particular the role of analysis and design phase in the lifecycle
- Discuss the different software lifecycle models including (e.g., waterfall, agile)
- Define the requirements elicitation and structuring
- Explain how to use the UML models to develop and document software analysis and design artefacts.
B. Cognitive skills
Upon completing this module, students will be able to: - Specify, analyse and organise requirements for a software product
- Model, analyse and validate software requirements using UML and set-theoretic notations
- Apply appropriate UML design patterns and notations to the design of components of a product
C. Practical and professional skills
Upon completing this module, students will be able to: - Apply an appropriate software engineering process and tools to the task of structuring, modelling and validating requirements for a software product
- Work independently, planning, monitoring, reflecting on and improving your own learning and working practices
- work in a group, communicating computing ideas effectively in speech and in writing
- Find, assess and apply information from a variety of sources, using information technology where necessary, in a number of assignments, including at least one significant piece of work
D. Key transferable skills Upon completing this module, students will be able to: - Design software systems
- Use modern software tools, both within and outside your workplace
- Communicate effectively about software modelling and design
- Be able to learn independently from third-party materials, in order to keep up to date in software engineering in general and software modelling in particular
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TM297 Compression Methods for Multimedia
(3) Credit Hours
Data compression aims at finding new ways of representing data so that it takes very little storage, while still being able to reconstruct the original data from the compressed version. Compression is applied namely when storage space is at a premium or when data needs to be transmitted and bandwidth is at a premium (which always is the case). The most important thing about compression is that it is not ``one size fits all'' approach: essentially, compression aims at specifying the characteristics of the data that needs to be compressed (mainly looking for patterns to be explored in order to achieve compact data representation). This module defines a variety of data modeling and representation techniques, which is at the heart of compression. Recently, the convergence in the field of communications, computing and entertainment industries enabled data compression to be a part of everyday life (e.g. MP3, DVD and Digital TV) and has created a number of exciting new opportunities for new applications of compression technologies.
Course Code |
TM297 |
Course Title |
Compression Methods for Multimedia |
Pre-requisite |
- |
Credit Hours |
3 |
Course Description |
Data compression aims at finding new ways of representing data so that it takes very little storage, while still being able to reconstruct the original data from the compressed version. Compression is applied namely when storage space is at a premium or when data needs to be transmitted and bandwidth is at a premium (which always is the case). The most important thing about compression is that it is not ``one size fits all'' approach: essentially, compression aims at specifying the characteristics of the data that needs to be compressed (mainly looking for patterns to be explored in order to achieve compact data representation). This module defines a variety of data modeling and representation techniques, which is at the heart of compression. Recently, the convergence in the field of communications, computing and entertainment industries enabled data compression to be a part of everyday life (e.g. MP3, DVD and Digital TV) and has created a number of exciting new opportunities for new applications of compression technologies. |
Course Objectives |
The aims of this module are to illustrate methods for handling and compressing different kinds of data, such as text, images, audio and video data and show data compression techniques for multimedia and other applications, especially the once used in the Internet.
After finishing successfully this Module you should be able to: - Compute basic statistics of data.
- Apply nontrivial algorithms to real-world problems.
- Outline the principles of data compression.
- Discover different compression methods for text, image, audio, and video data.
- Extend different compression methods and their applications in different aspects of computing.
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Course Outcomes |
A. Knowledge and understanding
Upon completing this module, students will be able to: - Develop a well-founded knowledge in the field of study.
- Relate other disciplines to the field of study.
- Develop an international perspective on the field of study.
B. Cognitive skills
Upon completing this module, students will be able to:
- Analyse and explore information and ideas and to convey those ideas clearly and fluently, in both written and spoken forms.
- Experiment effectively with others in order to work towards a common outcome.
- Select and make use of appropriate level, style and means of communication.
- Experiment appropriately with information and communication technologies.
C. Practical and professional skills
Upon completing this module, students will be able to: - Apply different compression methods for text, image, audio, and video data
- Examine nontrivial algorithms to real-world problems
- Extend different compression methods and their applications in different aspects of computing.
D. Key transferable skills
Upon completing this module, students will be able to: - Analyse and conclude independently.
- Develop ideas and adapt innovatively to changing environments.
- Identify problems constructs solutions, innovate and improve current practices
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TM298 Operating Systems
(4) Credit Hours
The study of Operating Systems is essential since these are an integral part of modern IT systems. This is an introductory level module which introduces students to fundamental concepts of a variety of operating systems.
Course Code |
TM298 |
Course Title |
Operating Systems |
Pre-requisite |
- |
Credit Hours |
4 |
Course Description |
The study of Operating Systems is essential since these are an integral part of modern IT systems. This is an introductory level module which introduces students to fundamental concepts of a variety of operating systems. |
Course Objectives |
- Provide students extensive knowledge on OS in general, OS principles and modules and how their internals work and functions.
- Provide key mechanisms in design of operating systems modules.
- Introduce students to definitions of the Operating Systems such as OS control all of a computer's resources and present users with the equivalent of virtual machines that are easier to program than their underlying hardware.
- Teach core operating systems concepts including operating system structure, process management, synchronization and concurrency, threads, memory management techniques, process scheduling and resource management, virtual memory concepts, deadlocks.
- Give an overview of fundamental operating system principles, complemented with discussions of concrete modern systems to help students understand how these principles are applied in real OSs.
- Enable students to compare performance of processor scheduling algorithms.
- Teach students to produce algorithmic solutions to process synchronization problems.
- Provide students with a good grasp of basic abstractions employed in system-level software (such as processes, threads, virtual memory, caching, etc.),
- Teach students to use modern operating system calls such as Linux process and synchronization libraries.
- Develop a sense in understand designing and implementing systems and working as part of a team.
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Course Outcomes |
A. Knowledge and understanding
After completing this module, students will be able to: - Identify and learn what operating systems are, what they do.
- Describe How the Operating System are designed and constructed.
- Show what the common features of an operating system are.
- Explain what an operating system does for the user, and what it does for the computer-system operator.
B. Cognitive skills
After completing this module, students will be able to: - Analyze the operating system design, constructor, building, internal works, usage variety, operations, and functions.
- Demonstrate the basis for future work in other areas of OS: hacking Linux, i.e. contribute to the Open source OS, security and so on
C. Practical and professional skills
After completing this module, students will be able to: - Implement the design simple of Operating System structures.
- Demonstrate basic skills to enable you to progress to more advanced level studies at the AOU or any other university.
D. Key transferable skills
After completing this module, students will be able to: - Demonstrate study skills at a level appropriate to higher education, such as timetabling study; read critically for meaning and take effective notes; and use study aids such as dictionaries and glossaries;
- Identify and distinguish between number of concepts that inform the Operating system structure components.
- Communicate appropriately with your tutor and other students using email, online conferences and forums;
- Locate information on a given subject from the World Wide Web.
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TM338 Data Mining
(3) Credit Hours
TM338 is a data mining course. It imparts essential knowledge about the field of data mining which is also known as knowledge discovery (KDD). It focuses on fundamental data mining concepts and techniques for discovering interesting patterns from data in various applications. Theories and algorithms for data mining and knowledge discovery will be studied. It will also emphasize techniques for developing effective, efficient, and scalable data mining tools.
Course Code |
TM338 |
Course Title |
Data Mining |
Pre-requisite |
|
Credit Hours |
3 |
Course Description |
TM338 is a data mining course. It imparts essential knowledge about the field of data mining which is also known as knowledge discovery (KDD). It focuses on fundamental data mining concepts and techniques for discovering interesting patterns from data in various applications. Theories and algorithms for data mining and knowledge discovery will be studied. It will also emphasize techniques for developing effective, efficient, and scalable data mining tools.
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Course Objectives |
This module aims to:
- Provide the students with the required skills to be able to perform the data preparation tasks and understand the implications.
- Provide the students with the required skills to demonstrate an understanding of the alternative knowledge representations such as rules, decision trees, and decision tables.
- Provide the students with the required skills to manipulate data pre-processing, association, classification, and clustering techniques.
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Course Outcomes |
A. Knowledge and understanding At the end of the module, learners will be expected to: A1: Have knowledge and understanding of data mining concepts and problems, data preparation, and data mining techniques. A2: Describe knowledge representation such as rules. A3: Understand and identify classification rules and association rules.
B. Cognitive skills At the end of the module learners will be expected to: B1: Demonstrate ability to extract rules from given datasets. B2: Implement and use rules for prediction and instance based representation. B3: Apply data mining algorithms for clustering given datasets.
C. Practical and professional skills At the end of the module, learners will be expected to: C1: Plan and organize their solutions for a practical problem(s) appropriately, and keep systematic records of plans, progress and outcomes. C2: Identify and address the ethical, social and legal issues that may arise during the development of the practical problem(s). C3: Analyze a practical problem and devise and implement a solution building on the knowledge and skills using Rapidminer software.
D. Key transferable skills
At the end of the module, learners will be expected to: D1: Make effective use of a variety of information sources, including the internet, e-library and demonstrating awareness of the credibility of the source. D2: Communicate information, ideas, problems and solutions clearly. D3: Learn independently and reflect on what has been done, with a view to improving skills and knowledge D4: Present the solution of their practical problem(s) in a professional manner and orally using appropriate scientific language.
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TM339 Big Data Analytics
(3) Credit Hours
TM339 is a Big Data Analytics. The key objective of this course is to familiarize the students with most important information technologies used in manipulating, storing, and analyzing big data. The module will introduce the characteristics and challenges of the Big Data, Hadoop, big data extraction and integration, big data storage, scalable indexing for big data, big graph processing, big data algorithms, big data privacy, big data visualizations, and big data applications.
Course Code |
TM339 |
Course Title |
Big Data Analytics |
Pre-requisite |
|
Credit Hours |
3 |
Course Description |
TM339 is a Big Data Analytics. The key objective of this course is to familiarize the students with most important information technologies used in manipulating, storing, and analyzing big data. The module will introduce the characteristics and challenges of the Big Data, Hadoop, big data extraction and integration, big data storage, scalable indexing for big data, big graph processing, big data algorithms, big data privacy, big data visualizations, and big data applications.
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Course Objectives |
This module aims to: • Provide the students with the required skills to be able to understand big data collection, integration and storage. • Provide the students with the required skills to be able to use the core techniques of processing big data. • Provide the students with the required skills to be able to understand different real applications and their techniques that involve big data.
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Course Outcomes |
A. Knowledge and understanding At the end of the module, learners will be expected to: A1: Get familiar with big data characteristics and challenges A2: Understand and demonstrate the role of statistics in the analysis of large datasets. A3: Understand and demonstrate advanced knowledge of statistical data analytics as applied to large data sets
B. Cognitive skills At the end of the module learners will be expected to:
B1: Demonstrate ability to analyze existing big data datasets. B2: Implement suitable statistical measures and analyses techniques for data of various structure and content. B3: Aapply big data algorithms to generate and present new information and insights from large datasets. C. Practical and professional skills
At the end of the module, learners will be expected to: C1: Plan and organize solutions for a practical problem(s) appropriately, and keep systematic records of plans, progress and outcomes C2: Identify and address the ethical, social and legal issues that may arise during the development of the practical problem(s). C3: Analyze a practical problem and devise and implement a solution building on the knowledge and skills using Hadoop/R or other software.
D. Key transferable skills
At the end of the module, learners will be expected to: D1: Make effective use of a variety of information sources, including the internet, e-library and demonstrating awareness of the credibility of the source D2: Communicate information, ideas, problems and solutions clearly D3: Learn independently and reflect on what has been done, with a view to improving skills and knowledge. D4: Present solution of their practical problem(s) in a professional manner and orally using appropriate scientific language.
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TM340 Natural Language Processing
(8) Credit Hours
Natural Language Processing (NLP) is a cognitive science sub-discipline drawing on linguistics, computer science, and psycholinguistics. Recent strides in this area have already begun to influence how human beings interact with computers. NLP is a field located at the intersection of data science and Artificial Intelligence (AI) that is all about teaching machines how to understand human languages and extract meaning from text. This is also why machine learning is often part of NLP projects.
Course Code |
TM340 |
Course Title |
Natural Language Processing |
Pre-requisite |
|
Credit Hours |
8 |
Course Description |
Natural Language Processing (NLP) is a cognitive science sub-discipline drawing on linguistics, computer science, and psycholinguistics. Recent strides in this area have already begun to influence how human beings interact with computers. NLP is a field located at the intersection of data science and Artificial Intelligence (AI) that is all about teaching machines how to understand human languages and extract meaning from text. This is also why machine learning is often part of NLP projects. |
Course Objectives |
The aims of this module are to:
- gain an in-depth understanding of the computational properties of natural languages and the commonly used algorithms for processing linguistic information.
- study computing systems that can process, understand, or communicate in human language.
- Focus on understanding various NLP tasks, algorithms for effectively problems, and methods for evaluating their performance.
- NLP topics including regular expressions, text processing, language parsing, text classification, language modelling and sequence tagging, vector space models of semantics.
- Understand distributed word representations, Relation extraction with distant supervision, natural language inference, supervised sentiment analysis semantic parsing.
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Course Outcomes |
A. Knowledge and understanding At the end of the module, learners will be expected to: A1. Recognize algorithmic and linguistic basis for NLP techniques A2. Identify algorithms commonly used for NLP problems such as information extraction, machine translation, text summarization and question answering. A3. Outline key concepts, tools and approaches for handling textual data A4. Recognize the potential and limitations of NLP techniques within application areas. A5. Describe and discuss the different subareas of NLP
B. Cognitive skills
At the end of the module learners will be expected to: B1. Evaluate key computing and IT concepts in a range of contexts B2. Apply appropriate techniques and tools for abstracting, modelling, problem solving, designing and testing computing and IT systems B3. Compare, contrast, critically analyse and refine specifications and implementations of software systems and/or simple hardware systems Carry out a project in computing and IT that applies and extends student’s knowledge and understanding, and critically reflect on the processes involved and the outcomes of student’s work.
C. Practical and professional skills At the end of the module, learners will be expected to: C1. Learn text processing fundamentals, including stemming and lemmatization. C2. Develop NLP applications that can be gradually scaled and transformed to a more complex and automated AI models C3. Assess the performance of the deployed NLP techniques Recognise the impact of an NLP-based AI solution. D. Key transferable skills
At the end of the module, learners will be expected to: D1. Apply the mathematical and algorithmic skills acquired in this course to other areas of study and work. D2. Evaluate NLP systems, using appropriate simulation and modelling tools where appropriate. D3. Use a range of resources to help you develop as an independent learner. D4. Use information literacy skills, NLP libraries, computers, and software packages appropriate to the workplace. D5. Communicate information, arguments, and ideas clearly and in appropriate ways with different audiences.
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TM341 Computer Vision
(8) Credit Hours
This module provides an introduction to computer vision, including basic methods from image processing techniques and deep learning with neural networks to solve high level vision tasks. It helps to the student to develop the practical skills necessary to build computer vision applications.
Course Code |
TM341 |
Course Title |
Computer Vision |
Pre-requisite |
|
Credit Hours |
8 |
Course Description |
This module provides an introduction to computer vision, including basic methods from image processing techniques and deep learning with neural networks to solve high level vision tasks. It helps to the student to develop the practical skills necessary to build computer vision applications. |
Course Objectives |
The aim of this module is to provide students with understanding of the theories and techniques used in computer vision. Topics include fundamentals of computer vision based on image processing techniques as well as machine-learning based computer vision used by new-school vision.
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Course Outcomes |
A. Knowledge and understanding At the end of the module, learners will be expected to: A1 : Understand the mathematical and theoretical foundations of image processing and computer vision. A2 : Understand the main algorithms for image processing and computer vision. A3 : Be familiar with the major technical approaches involved in computer vision and its application. A4 : Understand the strengths, weaknesses and limitations of image processing and computer vision algorithms.
B. Cognitive skills
At the end of the module learners will be expected to: B1: Explain the strengths, weaknesses and limitations of image processing and computer vision algorithms. B2: Describe the methods used in different computer vision applications. B3: Analyse a problem and critically evaluate the different computer vision methods for solving it. B4: Design and conduct an experiment to validate and assess the performance of a computer vision algorithm.
C. Practical and professional skills At the end of the module, learners will be expected to: C1: Apply the computer vision methods to design a vision-based algorithm. C2: Use of the programming languages to implement a computer vision task. C3: Read, present and discuss a research work in computer vision.
D. Key transferable skills
At the end of the module, learners will be expected to: D1: Communicate information clearly and in appropriate ways, considering the audience and purpose of the communication. D2: Select and use appropriate approach to solve problems. D3: Develop skills to become an independent lifelong learner as the field rapidly grows.
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TM351 Data management and analysis
(8) Credit Hours
Data management and analysis (TM351) – an overview of the concepts, techniques, and tools of modern data management and analysis. The requirements of data management continually evolve. Recently those requirements have surpassed the capabilities of traditional data management. So, in order to better prepare our graduates for the new demands of the job market, it is necessary to address both the traditional concepts of data management as well as the increasingly important area of data analytics.
Course Code |
TM351 |
Course Title |
Data management and analysis |
Pre-requisite |
- |
Credit Hours |
8 |
Course Description |
Data management and analysis (TM351) – an overview of the concepts, techniques, and tools of modern data management and analysis. The requirements of data management continually evolve. Recently those requirements have surpassed the capabilities of traditional data management. So, in order to better prepare our graduates for the new demands of the job market, it is necessary to address both the traditional concepts of data management as well as the increasingly important area of data analytics. |
Course Objectives |
This module aims to address some of the key concepts required for the traditionally important area of data management, and the increasingly important area of data analytics. The module will compare traditional relational databases with an alternate model (a NoSQL database), and will enable students to choose between the alternatives to select an appropriate means of storing and managing data, depending on the size and structure of a particular dataset and the use to which that data will be put. Students will be introduced to preliminary techniques in data analysis, starting from the position that data is used to answer a question, and introduced to a range of data visualisation and visual analysis techniques that will instil an understanding of how to start exploring a new data set. To ensure that students are comfortable with handling datasets, they will explore a range of openly licensed real-world datasets (either downloaded from their host websites, or provided as snapshots) to illustrate the key concepts in the course. Sources such as data.gov.uk, the World Bank, and a range of other national and international agencies will be used to provide appropriate data. The module will aim to divide approximately equally between issues in data management (technical and socio-legal issues in storing and maintaining datasets), and issues in data analytics (using data to answer questions). Students are not expected to have a background in statistics, but should be comfortable working with mathematical concepts and will need to be competent programmers. The module will be framed around a narrative that looks at how to manage and extract value and insight from a range of increasingly large data collections. At each stage, a comparison will be drawn between different ways of representing the data (for example, using different sorts of charts or geographical mapping techniques), and limitations of the mechanisms presented. To enable students to get a feel for the use of data, each stage will also include an overview of some data analysis techniques, including summary reporting and exploratory data visualisation. The module will be driven by Richard Hamming's famous quote: The purpose of computing is insight, not numbers. Some of the key ideas are: Introducing data analysis. Starting with a text based data file such as comma separated variable (CSV) document, this unit will provide a brief introduction to some basic operations on simple data files. This will give an opportunity to provide an outline of the key ideas in the module, to ensure that the students have installed the module software correctly, and to begin to familiarise themselves with that software. Concepts in data management. The module will look at three key areas in data management: data architectures and data access (CRUD), data integrity, and transaction management (ACID). Each of these will be illustrated using a relational database, and one non-relational alternative, and the advantages and limitations of each model discussed. Legal and ethical issues. The module will consider the legal and ethical issues involved in managing data collections. Students will be required to obtain and read (parts of) the Data Protection Act and the Freedom of Information Act, and demonstrate how these apply to issues in data management. They will also consider privacy, ownership, intellectual property and licensing issues in data collection, management, retrieval and reuse. Concepts in data analytics. These sections will focus on using data to answer a real question; the focus will be on exploratory techniques (such as visualisation) and formulating a question into a form which can realistically be answered using the data that is available. Issues in processing techniques for large and real-time streamed data collections will also be addressed along with techniques and technologies (such as mapreduce) for handling them. This part will use a statistical package such as the python scientific libraries and/or ggplot to visualise the data and carry out appropriate analyses. It is not anticipated that students will need to understand statistical methods in depth.
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Course Outcomes |
A. Knowledge and understanding
Upon completing this course, students will be able to: - Discuss and describe the similarities and differences between at least two different database models, and how they are used to manage data collections.
- Identify and explain the legal issues surrounding data collection, usage and retention.
- Explain the stages and process of database design
B. Cognitive skills
Upon completing this course, students will be able to: - Select an appropriate database model for a data collection.
- Use data to answer a practical question.
- Analyse a simple scenario to produce a conceptual model.
C. Practical and professional skills
Upon completing this course, students will be able to: - Use a query language to extract information from a database.
- Use a statistical package to explore a data set
- Present an analysis of a dataset to a variety of audiences.
D. Key transferable skills
Upon completing this course, students will be able to: - Write a report detailing a systematic approach to analysing a data set.
- Gain Active listening to the stakeholders regarding their data analysis needs
- Communicate the results of data analysis to stakeholders at appropriate level
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TM354 Software Engineering
(8) Credit Hours
Software engineering (TM354) – the intellectual tools needed to design, build, and test software systems. This module aims to provide you with an understanding of software engineering concepts and a view of practical software development. It follows a disciplined approach to the development of software systems to meet specified requirements. You will become familiar with a wide range of techniques to support the dialogue between software engineers and an organisation’s stakeholders, and the work of the developers. You will also develop a good understanding of the different approaches to, and practices of, software development, including those followed by agile methods.
Course Code |
TM354 |
Course Title |
Software Engineering |
Pre-requisite |
- |
Credit Hours |
8 |
Course Description |
Software engineering (TM354) – the intellectual tools needed to design, build, and test software systems. This module aims to provide you with an understanding of software engineering concepts and a view of practical software development. It follows a disciplined approach to the development of software systems to meet specified requirements. You will become familiar with a wide range of techniques to support the dialogue between software engineers and an organisation’s stakeholders, and the work of the developers. You will also develop a good understanding of the different approaches to, and practices of, software development, including those followed by agile methods. |
Course Objectives |
- To understand the business domain for a problem requiring a software solution or a change to an existing solution
- To acquire the tools and knowledge to analyse and design such a solution or change
- To understand how any chosen software architecture will impact on the satisfaction of all users requirements and expectations
- To apply and reuse design expertise from a set of design patterns
- To develop the skills for testing outputs of all activities throughout the development process.
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Course Outcomes |
A. Knowledge and understanding
Upon completing this module, students will be able to:
- Understand concepts of software development and maintenance, specialising in such topics as Web and Internet design and programming, advanced database techniques or human computer interaction
- Acquire the methods and tools used to develop a range of software systems
- Identify a range of situations in which computer systems are used, the ways in which people interact with them, and the ethical, social and legal problems that computer software can create.
B. Cognitive skills
Upon completing this module, students will be able to: - Explain advanced software development concepts and apply them to practical problems, including in an extended piece of work
- Analyse problems, and design and evaluate realistic solutions to them
- Compare and contrast a variety of computing methods and tools, identifying the best choices to apply to specific problems
- Explain the various roles, functions and interactions of members of a software development team.
C. Practical and professional skills
Upon completing this module, students will be able to:
- Work independently, planning, monitoring, reflecting on and improving your own learning and working practices
- Work in a group, communicating computing ideas effectively in speech and in writing
- Find, assess and apply information from a variety of sources, using information technology where necessary, in a number of assignments, including at least one significant piece of work
- Use numerical and analytical techniques confidently to solve complex problems.
D. Key transferable skills
Upon completing this module, students will be able to:
- Design, program, test and evaluate software systems
- Use modern software tools, both within and outside your workplace
- Identify and handle the ethical, social and legal issues that may arise during software development and use.
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TM355 Communications Technology
(8) Credit Hours
Communications technology (TM355) – looks at the underlying technologies of modern electronic communications, such as mobile data and telephony, broadband, Wi-Fi, and optical fiber. Electronic communication is ubiquitous in homes, offices and urban environments. This module gives students an insight into these and other questions, by looking at the fundamental principles of communications technologies. Through these principles students will gain an insight into the possibilities and constraints of modern communications technology. This module complements other modules relating to networking (e.g., T215A/B, T216A/B and T316).
Course Code |
TM355 |
Course Title |
Communications Technology |
Pre-requisite |
- |
Credit Hours |
8 |
Course Description |
Communications technology (TM355) – looks at the underlying technologies of modern electronic communications, such as mobile data and telephony, broadband, Wi-Fi, and optical fiber. Electronic communication is ubiquitous in homes, offices and urban environments. This module gives students an insight into these and other questions, by looking at the fundamental principles of communications technologies. Through these principles students will gain an insight into the possibilities and constraints of modern communications technology. This module complements other modules relating to networking (e.g., T215A/B, T216A/B and T316). |
Course Objectives |
TM355 is framed fairly precisely by its areas of interest: layers 1 and 2 of the OSI seven-layer model, that is the Physical Layer (layer 1) and the Data Link Layer (layer 2); and the three access technologies of optical fibre, DSL broadband and wireless.
Within this framing, TM355 is concerned to reveal and explore commonalities that cut across these technologies, such as Shannon's law, multiple access (which increasingly means orthogonal frequency division multiple access, or OFDMA), modulation techniques (in the digital world, almost synonymous with quadrature amplitude modulation, or QAM), error detection and correction, and coding. A thorough understanding of the principles of these common technologies will equip students to understand a range of communication technologies, and to understand their potential and limitations
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Course Outcomes |
A. Knowledge and understanding
Upon completing this course, students will be able to: - Have a sound grasp of the essential vocabulary of communications technology, be able to deploy it appropriately, and be able to explain them
- Understand the main principles and constraints of digital communications technology at the physical and data link layers, and employ them to analyse and assess communication scenarios.
- Understand the essential limits and trade-offs that are inherent in practical communication systems
B. Cognitive skills
Upon completing this course, students will be able to: - Use relevant data related to a communication system to model its behaviour and assess performance and resource requirements.
- Explain how and why particular communications configurations and systems are used, discuss their potential and limitations.
C. Practical and professional skills
Upon completing this course, students will be able to: - Write a short report or essay discussing applications of communications technology.
- Be able to use third-party material critically.
- Be able to incorporate copyrighted material appropriately
D Key transferable skills
Upon completing this course, students will be able to: - Assess and synthesise information from a range of sources in order to offer an informed judgement on applications of communication technology.
- Develop your own learning skills in topics related to communications technology.
- Be able to learn independently from third-party materials, in order to keep up to date in communications technology.
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TM358 Machine learning and artificial intelligence
(8) Credit Hours
TM358 is a compulsory module in the BSc (Hons) Data Science programme as well as the Computer Science track of the ITC qualifications. Machine Learning and AI techniques are essential for regression and classification tasks and for extracting meaningful insights from data. Students will also study the important techniques of Deep Learning and the strengths and limitations of Machine Learning and AI systems in this module.
Course Code |
TM358 |
Course Title |
Machine learning and artificial intelligence |
Pre-requisite |
|
Credit Hours |
8 |
Course Description |
TM358 is a compulsory module in the BSc (Hons) Data Science programme as well as the Computer Science track of the ITC qualifications. Machine Learning and AI techniques are essential for regression and classification tasks and for extracting meaningful insights from data. Students will also study the important techniques of Deep Learning and the strengths and limitations of Machine Learning and AI systems in this module. |
Course Objectives |
The module will give students and broad understanding of the fields of Artificial Intelligence (AI) and Machine Learning (ML), and a deeper understanding of deep neural learning in particular. Students will be able to select and justify choices of deep learning architecture and describe when such approaches are suitable and effective.
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Course Outcomes |
A. Knowledge and understanding At the end of the module, learners will be expected to: A1: Understand the context of Artificial Intelligence, Machine Learning and deep learning, including understanding the basic mechanisms and appropriate uses of a range of alternatives to deep learning. A2: Describe the range of situations in which machine learning systems are used and the possibilities and limitations of these systems.
A3: Understand the key elements and mechanisms of deep neural learning systems, together with their strengths and weaknesses. A4: Understand the social, professional, legal, and ethical issues associated with machine learning systems.
B. Cognitive skills
At the end of the module learners will be expected to: B1: Explain the strengths, weaknesses, and limitations of machine learning, and deep learning in particular, including understanding when machine learning techniques are not appropriate. B2: Apply and critically evaluate deep learning tools and techniques to solve real-world problems. B3: Select and apply appropriate techniques and tools for designing, implementing, and testing deep learning systems, and be aware of their limitations. B4: Justify why deep learning tools and techniques are either suitable or not for a particular problem or domain
C. Practical and professional skills
At the end of the module, learners will be expected to: C1: Analyse and evaluate problems and plan strategies for their solution. C2: Select an appropriate set of machine learning techniques for a given task and dataset, marshal one or more tools into a coherent machine learning system, apply the machine learning system correctly, and evaluate its performance (including limits of applicability). C3: Select and appropriately pre-process a dataset for machine learning and evaluate how biases inherent in the data will affect the reliability and fairness of the trained machine learning system. D Key transferable skills
At the end of the module, learners will be expected to: D1: Relate the strengths, weaknesses, and limitations of machine learning to wider social issues, including social justice, privacy and security, and access to resources and services. D2: Communicate information, arguments, ideas, and issues clearly and in appropriate ways, considering the audience and purpose of the communication. D3: Select and use accurately analytical techniques to solve problems.
D4: Develop skills to become an independent lifelong learner, as the field moves on.
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TM380 Autonomous Robotic System
(3) Credit Hours
This course introduces the students to the foundation of situated autonomous robotic systems and its application areas. The course works with the group of modules addressing the artificial intelligence field. This course enables the students to invade the sophisticated AI application area that deploy autonomous robotic/agent systems to conduct a specific intelligent task.
The course aims to provide students with an understanding of design concepts for autonomous systems, including robots and virtual agents, as well as the ability to put their experience into practice by creating a simple autonomous robot system.
Course Code |
TM380 |
Course Title |
Autonomous Robotic System |
Pre-requisite |
|
Credit Hours |
3 |
Course Description |
This course introduces the students to the foundation of situated autonomous robotic systems and its application areas. The course works with the group of modules addressing the artificial intelligence field. This course enables the students to invade the sophisticated AI application area that deploy autonomous robotic/agent systems to conduct a specific intelligent task.
The course aims to provide students with an understanding of design concepts for autonomous systems, including robots and virtual agents, as well as the ability to put their experience into practice by creating a simple autonomous robot system. |
Course Objectives |
The course aims to provide students with an understanding of design concepts for autonomous systems, including robots and virtual agents, as well as the ability to put their experience into practice by creating a simple autonomous robot system. In more detail, the aims are:
- To introduce the student to the foundation of situated autonomous agent;
- To introduce the student to the field of mobile robots;
- To introduce the key approaches developed for decision-making in autonomous systems;
- To introduce a contemporary platform for programming agents and multi-agent systems;
- To introduce contemporary platform for experimental robotics.
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Course Outcomes |
A. Knowledge and understanding At the end of the module, learners will be expected to: A1. Demonstrate knowledge and understanding of the key Concepts related to robots. A2. explain the notion of an agent, how agents are distinct from other software paradigms (e.g., objects), and judge the characteristics of applications that lend themselves to an agent-oriented solution A3. Identify the key issues associated with constructing agents capable of intelligent autonomous action
B. Cognitive skills At the end of the module learners will be expected to: B1. Identify key elements and main approaches taken in developing and building agents able to sense and act within the physical world. B2. Describe how AI techniques can overcome the uncertainty that is inherent with sensors and actuators, in a non-determinism real-world. B3. Select data and information from various sources and analyze and present them on an appropriate manner to support a learning.
C. Practical and professional skills At the end of the module, learners will be expected to: C1. Employ technical, numeracy and computational skills needed to create highly crafted illustration projects that communicate ideas of various design applications C2. Program and deploy autonomous robots for specific tasks. Analysing facts and situations and applying creative thinking to develop appropriate solutions.
D. Key transferable skills
At the end of the module, learners will be expected to: D1. Analyse problems effectively within computing environments using appropriate personal and technical skills. D2. Formulate arguments and make informed decisions in choosing appropriate techniques in solving a range of technological problems.
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TM391 E-Commerce
(3) Credit Hours
Technologies of the Internet are essential for conducting businesses in this information age and this module is meant to provide the foundations for e-Commerce Technologies, help in selecting appropriate technology infrastructure and security measures.
Course Code |
TM391 |
Course Title |
E-Commerce |
Pre-requisite |
- |
Credit Hours |
3 |
Course Description |
Technologies of the Internet are essential for conducting businesses in this information age and this module is meant to provide the foundations for e-Commerce Technologies, help in selecting appropriate technology infrastructure and security measures. |
Course Objectives |
The module aims to provide an understanding of e-business and its associated technologies. The basics of online commerce will be introduced along with the elements that are particular to an electronic marketplace.
The module aims to provide students with: - An understanding and the nature of e-Commerce, recognize the business impact and potential of e-Commerce.
- Basic understanding of internet technologies and network infrastructure.
- Major business and revenue models and how to do marketing online, communicating with different market segments.
- Strategies that business uses to improve purchasing, logistics and other support activities, including how Electronic Data Interchange (EDI) works.
- Understanding key characteristics of different major auction types, strategies for web auction sites and auction-related businesses.
- Web server basics, software for web servers and web server hardware.
- Finding and evaluating web hosting services, basic and advance functions of e-commerce software.
- Online security issues, security for communication channels between computers, networks and major servers offering web and e-commerce services.
- The basic function of online payment systems, the use of payment cards in electronic commerce. History and function of electronic cash, including electronic wallets and other internet payment technologies and the banking industry.
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Course Outcomes |
A. Knowledge and understanding
On completion of the module students will be able to:
- Discuss the relationships between e-business and technological developments on the Internet, familiarity with e-business models, B2B, B2C, C2C, comprehend Supply-Chain and Value-Chain concepts.
- Describe a set of e-business models, relationships and strategic issues that arise from the deployment of e-business systems
- Describe various revenue models and how to market on the web, and what e-marketers are doing in the real world.
- Describe the function of protocols and standards used in data exchange
- Describe various auction models; perform virtual communications and interacting with web portals.
- Describe the use of HTML, XML, syntax, properties and processing of XML documents, DTDs and schemas
- Describe the architecture, operation, standards, protocols, and technologies used in the construction, discovery, and use of web services.
- Describe the key dimension of e-commerce security.
- Describe the features of e-commerce payment systems in use.
B. Cognitive skills
On completion of the module students will be able to:
- Relate the business with the technology opportunities and challenges afforded by e-business.
- Critically evaluate an e-business strategy using a suitable framework, appropriate models and current terminology.
- Construct a sound argument that makes use of an appropriate vocabulary with critical use of relevant supporting references.
- Analyse design, develop, implement and manage secure e-commerce systems using a range of tools and techniques, across a range of business contexts to meet various stakeholders requirements.
C. Practical and professional skills
On completion of the module students will be able to:
- Utilize the key protocols of the Internet (especially http, ftp and email), create and edit, HTML XML documents, basics of scripting languages such as PHP, able to create web based data driven applications.
- Choose hardware and software, required for setting up e-commerce business.
- Apply the various e-commerce models and on-line marketing, including auctions and web selling.
- Compare the various on-line payment systems.
- Utilize the various security mechanisms to protect e-commerce systems.
D. Key transferable skills
On completion of the module students will be able to:
- Plan, monitor and evaluate own learning and seek ways to improve the performance.
- Develop secure, flexible, information and communication architectures that support the changing needs of the business.
- Evaluate, and use information or data accurately in complex contexts.
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TM471 The Telematics project CS
(8) Credit Hours
The objective of this module is to provide the students with the opportunity to apply the theoretical and the practical concepts they have learnt during the lower level courses to a real and tangible project. During their last year, students are required in this module to submit a project proposal consistent with the computer science track. They need to use the skills they have acquired in order to accomplish their presumptive proposal. Beside the deliverable and the assessments, each student has to submit a report that sums up the plan-do-review cycle of his/her work and has to present the findings in front of a faculty committee.
Course Code |
TM471 |
Course Title |
The Telematics project CS |
Pre-requisite |
TM354 or TM358 or TM351 |
Credit Hours |
8 |
Course Description |
The objective of this module is to provide the students with the opportunity to apply the theoretical and the practical concepts they have learnt during the lower level courses to a real and tangible project. During their last year, students are required in this module to submit a project proposal consistent with the computer science track. They need to use the skills they have acquired in order to accomplish their presumptive proposal. Beside the deliverable and the assessments, each student has to submit a report that sums up the plan-do-review cycle of his/her work and has to present the findings in front of a faculty committee. |
Course Objectives |
On successful completion of this course, students will be able to:
- Undertake practical projects to solve problems in the area of ITC.
- Perform literature search on a selected topic of interest.
- Apply what they have learnt to plan a project and develop a deliverable.
- Produce project plans for successful undertaking of practical projects.
- Write a detailed project report and communicate their ideas clearly.
- Present their ideas and work formatively before an audience while progressing in their project.
- Present their findings, outcome and deliverable before an audience
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Course Outcomes |
A. Knowledge and understanding
Upon completing this course, students will be able to: - Demonstrate understanding of the fundamental technical concepts and principles relevant to their project
- Apply a systematic approach towards the practical implementation of their project
- Plan a project while preparing a detailed schedule of the project tasks and milestones for 8 months.
B. Cognitive skills
Upon completing this course, students will be able to: - Identify and refine the goals and content of their project
- Identify, list and justify the resources, skills and activities needed to carry out the project successfully
- Conduct a proper literature search. Gather, analyse and evaluate relevant information to complete the project successfully
- Critically review how they have tackled the project
C. Practical and professional skills
Upon completing this course, students will be able to:
- Plan and organize their project work appropriately, and keep systematic records of plans, progress and outcomes
- Identify and address the ethical, social and legal issues that may arise during the development and use of Computing and IT systems
- Analyse a practical problem and devise and implement a solution building on the knowledge and skills developed throughout their earlier OU studies and experience.
- Provide a tangible solution by accomplishing their deliverable according to their project requirements.
D. Key transferable skills
Upon completing this course, students will be able to: - Make effective use of a variety of information sources, including the internet, e-library and demonstrating awareness of the credibility of the source
- Communicate information, ideas, problems and solutions clearly
- Learn independently and reflect on what has been done, with a view to improving skills and knowledge
- Present their work in a professional manner while addressing the audience in the domain.
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TM471 The Telematics project CwB
(8) Credit Hours
TM471 is a final year projects course. Students are expected to select topics of their projects consistent with their track that is, directly related to the computing with business track, and also, make use of the skills they have learnt throughout their studies in lower level modules to plan a project, develop it and submit a report on completion of the project. They are expected to do a presentation and perform a working demonstration of their selected project.
Course Code |
TM471 |
Course Title |
The Telematics project CwB |
Pre-requisite |
TM351 & BUS310) or (TM354 & BUS310) |
Credit Hours |
8 |
Course Description |
TM471 is a final year projects course. Students are expected to select topics of their projects consistent with their track that is, directly related to the computing with business track, and also, make use of the skills they have learnt throughout their studies in lower level modules to plan a project, develop it and submit a report on completion of the project. They are expected to do a presentation and perform a working demonstration of their selected project. |
Course Objectives |
On successful completion of this course, students will be able to:
- Undertake practical computing projects to solve problems in the area of business.
- Perform literature search on a selected topic of interest.
- Apply what they have learnt to plan a project and develop a deliverable.
- Produce project plans for successful undertaking of practical projects.
- Write a detailed project report and communicate their ideas clearly.
- Present their ideas and work formatively before an audience while progressing in their project.
- Present their findings, outcome and deliverable before an audience
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Course Outcomes |
A. Knowledge and understanding
Upon completing this course, students will be able to: - Demonstrate understanding of the fundamental technical concepts and principles relevant to their project
- Apply a systematic approach towards the practical implementation of their project
- Plan a project while preparing a detailed schedule of the project tasks and milestones for 8 months.
B. Cognitive skills
Upon completing this course, students will be able to: - Identify and refine the goals and content of their project
- Identify, list and justify the resources, skills and activities needed to carry out the project successfully
- Conduct a proper literature search. Gather, analyse and evaluate relevant information to complete the project successfully
- Critically review how they have tackled the project
C. Practical and professional skills
Upon completing this course, students will be able to:
- Plan and organize their project work appropriately, and keep systematic records of plans, progress and outcomes
- Identify and address the ethical, social and legal issues that may arise during the development and use of Computing and IT systems
- Analyse a practical problem and devise and implement a solution building on the knowledge and skills developed throughout their earlier OU studies and experience.
- Provide a tangible solution by accomplishing their deliverable according to their project requirements.
D. Key transferable skills
Upon completing this course, students will be able to: - Make effective use of a variety of information sources, including the internet, e-library and demonstrating awareness of the credibility of the source
- Communicate information, ideas, problems and solutions clearly
- Learn independently and reflect on what has been done, with a view to improving skills and knowledge
- Present their work in a professional manner while addressing the audience in the domain
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TM471 The Telematics project ITC
(8) Credit Hours
TM471 is a final year projects course. Students are expected to select topics of their projects consistent with their track that is, directly related to the information technology and computing track, and also, make use of the skills they have learnt throughout their studies in lower level modules to plan a project, develop it and submit a report on completion of the project. They are expected to do a presentation and perform a working demonstration of their selected project.
Course Code |
TM471 |
Course Title |
The Telematics project ITC |
Pre-requisite |
TM355 or TM354 or TM351 |
Credit Hours |
8 |
Course Description |
TM471 is a final year projects course. Students are expected to select topics of their projects consistent with their track that is, directly related to the information technology and computing track, and also, make use of the skills they have learnt throughout their studies in lower level modules to plan a project, develop it and submit a report on completion of the project. They are expected to do a presentation and perform a working demonstration of their selected project. |
Course Objectives |
On successful completion of this course, students will be able to: - Undertake practical projects to solve problems in the area of ITC.
- Perform literature search on a selected topic of interest.
- Apply what they have learnt to plan a project and develop a deliverable.
- Produce project plans for successful undertaking of practical projects.
- Write a detailed project report and communicate their ideas clearly.
- Present their ideas and work formatively before an audience while progressing in their project.
- Present their findings, outcome and deliverable before an audience
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Course Outcomes |
A. Knowledge and understanding
Upon completing this course, students will be able to: - Demonstrate understanding of the fundamental technical concepts and principles relevant to their project
- Apply a systematic approach towards the practical implementation of their project
- Plan a project while preparing a detailed schedule of the project tasks and milestones for 8 months.
B. Cognitive skills
Upon completing this course, students will be able to: - Identify and refine the goals and content of their project
- Identify, list and justify the resources, skills and activities needed to carry out the project successfully
- Conduct a proper literature search. Gather, analyse and evaluate relevant information to complete the project successfully
- Critically review how they have tackled the project
C. Practical and professional skills
Upon completing this course, students will be able to:
- Plan and organize their project work appropriately, and keep systematic records of plans, progress and outcomes
- Identify and address the ethical, social and legal issues that may arise during the development and use of Computing and IT systems
- Analyse a practical problem and devise and implement a solution building on the knowledge and skills developed throughout their earlier OU studies and experience.
- Provide a tangible solution by accomplishing their deliverable according to their project requirements.
D. Key transferable skills
Upon completing this course, students will be able to: - Make effective use of a variety of information sources, including the internet, e-library and demonstrating awareness of the credibility of the source
- Communicate information, ideas, problems and solutions clearly
- Learn independently and reflect on what has been done, with a view to improving skills and knowledge
- Present their work in a professional manner while addressing the audience in the domain.
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TM471 The Telematics project NS
(8) Credit Hours
Networking track students need to develop projects where they can integrate what they have seen throughout their study in lower level module in on project. This can be achieved through the TM471 module where practical proposals are to be developed during two semesters that solve or at least simulate real life networking projects. The module is assessed through formative assessments where supervisors provide their students with feedback on their progress, and, through formative assessments where the students have to defend their finding in front of a faculty committee where the presentation skills and the project deliverable are evaluated. The students are required as well to provide a scientific project report.
Course Code |
TM471 |
Course Title |
The Telematics project NS |
Pre-requisite |
T316 or T318 or T321 |
Credit Hours |
8 |
Course Description |
Networking track students need to develop projects where they can integrate what they have seen throughout their study in lower level module in on project. This can be achieved through the TM471 module where practical proposals are to be developed during two semesters that solve or at least simulate real life networking projects. The module is assessed through formative assessments where supervisors provide their students with feedback on their progress, and, through formative assessments where the students have to defend their finding in front of a faculty committee where the presentation skills and the project deliverable are evaluated. The students are required as well to provide a scientific project report. |
Course Objectives |
On successful completion of this course, students will be able to: - Undertake practical projects to solve problems in the area of ITC.
- Perform literature search on a selected topic of interest.
- Apply what they have learnt to plan a project and develop a deliverable.
- Produce project plans for successful undertaking of practical projects.
- Write a detailed project report and communicate their ideas clearly.
- Present their ideas and work formatively before an audience while progressing in their project.
- Present their findings, outcome and deliverable before an audience
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Course Outcomes |
A. Knowledge and understanding
Upon completing this course, students will be able to: - demonstrate understanding of the fundamental technical concepts and principles relevant to their project
- Students should be able to apply a systematic approach towards the practical implementation of their project
- Students should be able to plan a project while preparing a detailed schedule of the project tasks and milestones for 8 months.
B. Cognitive skills
Upon completing this course, students will be able to: - Identify and refine the goals and content of their project
- Identify, list and justify the resources, skills and activities needed to carry out the project successfully
- Conduct a proper literature search. Gather, analyse and evaluate relevant information to complete the project successfully
- Critically review how they have tackled the project
C. Practical and professional skills
Upon completing this course, students will be able to: - Plan and organize their project work appropriately, and keep systematic records of plans, progress and outcomes
- Identify and address the ethical, social and legal issues that may arise during the development and use of Computing and IT systems
- Analyse a practical problem and devise and implement a solution building on the knowledge and skills developed throughout their earlier OU studies and experience.
- Provide a tangible solution by accomplishing their deliverable according to their project requirements.
D. Key transferable skills
Upon completing this course, students will be able to: - Make effective use of a variety of information sources, including the internet, e-library and demonstrating awareness of the credibility of the source
- Communicate information, ideas, problems and solutions clearly
- Learn independently and reflect on what has been done, with a view to improving skills and knowledge
- Present their work in a professional manner while addressing the audience in the domain.
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TM471 The Telematics project AI
(8) Credit Hours
TM471 is a final year projects course. Students are expected to select topics of their projects consistent with and directly related to the computing and information technology fields, and also, make use of the skills they have learnt throughout their studies in lower level modules to plan a project, develop it and submit a report on completion of the project. Students are expected to do a presentation and perform a working demonstration of their selected project
Course Code |
TM471 |
Course Title |
The Telematics project AI |
Pre-requisite |
TM351 or TM340 or TM341 |
Credit Hours |
8 |
Course Description |
TM471 is a final year projects course. Students are expected to select topics of their projects consistent with and directly related to the computing and information technology fields, and also, make use of the skills they have learnt throughout their studies in lower level modules to plan a project, develop it and submit a report on completion of the project. Students are expected to do a presentation and perform a working demonstration of their selected project |
Course Objectives |
On successful completion of this course, students will be able to:
- Undertake practical projects to solve problems in the area of the related field.
- Perform literature search on a selected topic of interest.
- Apply what they have learnt to plan a project and develop a deliverable.
- Produce project plans for successful undertaking of practical projects.
- Write a detailed project report and communicate their ideas clearly.
- Present their ideas and work formatively before an audience while progressing in their project.
- Present their findings, outcome and deliverable before an audience
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Course Outcomes |
A. Knowledge and understanding
Upon completing this course, students will be able to: - Demonstrate understanding of the fundamental technical concepts and principles relevant to their project
- Apply a systematic approach towards the practical implementation of their project
- Plan a project while preparing a detailed schedule of the project tasks and milestones for 8 months.
B. Cognitive skills
Upon completing this course, students will be able to: - Identify and refine the goals and content of their project
- Identify, list and justify the resources, skills and activities needed to carry out the project successfully
- Conduct a proper literature search. Gather, analyse and evaluate relevant information to complete the project successfully
- Critically review how they have tackled the project
C. Practical and professional skills
Upon completing this course, students will be able to:
- Plan and organize their project work appropriately, and keep systematic records of plans, progress and outcomes
- Identify and address the ethical, social and legal issues that may arise during the development and use of Computing and IT systems
- Analyse a practical problem and devise and implement a solution building on the knowledge and skills developed throughout their earlier OU studies and experience.
- Provide a tangible solution by accomplishing their deliverable according to their project requirements.
D. Key transferable skills
Upon completing this course, students will be able to: - Make effective use of a variety of information sources, including the internet, e-library and demonstrating awareness of the credibility of the source
- Communicate information, ideas, problems and solutions clearly
- Learn independently and reflect on what has been done, with a view to improving skills and knowledge
- Present their work in a professional manner while addressing the audience in the domain.
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TM471 The Telematics project DS
(8) Credit Hours
TM471 is a final year projects course. Students are expected to select topics of their projects consistent with and directly related to the computing and information technology fields, and also, make use of the skills they have learnt throughout their studies in lower level modules to plan a project, develop it and submit a report on completion of the project. Students are expected to do a presentation and perform a working demonstration of their selected project
Course Code |
TM471 |
Course Title |
The Telematics project DS |
Pre-requisite |
M348 or TM358 or TM351 |
Credit Hours |
8 |
Course Description |
TM471 is a final year projects course. Students are expected to select topics of their projects consistent with and directly related to the computing and information technology fields, and also, make use of the skills they have learnt throughout their studies in lower level modules to plan a project, develop it and submit a report on completion of the project. Students are expected to do a presentation and perform a working demonstration of their selected project |
Course Objectives |
On successful completion of this course, students will be able to:
- Undertake practical projects to solve problems in the area of the related field.
- Perform literature search on a selected topic of interest.
- Apply what they have learnt to plan a project and develop a deliverable.
- Produce project plans for successful undertaking of practical projects.
- Write a detailed project report and communicate their ideas clearly.
- Present their ideas and work formatively before an audience while progressing in their project.
- Present their findings, outcome and deliverable before an audience
|
Course Outcomes |
A. Knowledge and understanding
Upon completing this course, students will be able to: - Demonstrate understanding of the fundamental technical concepts and principles relevant to their project
- Apply a systematic approach towards the practical implementation of their project
- Plan a project while preparing a detailed schedule of the project tasks and milestones for 8 months.
B. Cognitive skills
Upon completing this course, students will be able to: - Identify and refine the goals and content of their project
- Identify, list and justify the resources, skills and activities needed to carry out the project successfully
- Conduct a proper literature search. Gather, analyse and evaluate relevant information to complete the project successfully
- Critically review how they have tackled the project
C. Practical and professional skills
Upon completing this course, students will be able to:
- Plan and organize their project work appropriately, and keep systematic records of plans, progress and outcomes
- Identify and address the ethical, social and legal issues that may arise during the development and use of Computing and IT systems
- Analyse a practical problem and devise and implement a solution building on the knowledge and skills developed throughout their earlier OU studies and experience.
- Provide a tangible solution by accomplishing their deliverable according to their project requirements.
D. Key transferable skills
Upon completing this course, students will be able to: - Make effective use of a variety of information sources, including the internet, e-library and demonstrating awareness of the credibility of the source
- Communicate information, ideas, problems and solutions clearly
- Learn independently and reflect on what has been done, with a view to improving skills and knowledge
- Present their work in a professional manner while addressing the audience in the domain.
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TT284 Web technologies
(8) Credit Hours
This module is meant to introduce students to the foundations of web applications, including protocols, standards and content handling.
Course Code |
TT284 |
Course Title |
Web technologies |
Pre-requisite |
- |
Credit Hours |
8 |
Course Description |
This module is meant to introduce students to the foundations of web applications, including protocols, standards and content handling. |
Course Objectives |
- Give students an insight into architectures, protocols, standards, languages, tools and techniques;
- Give students an understanding of approaches to more dynamic and mobile content;
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Course Outcomes |
A. Knowledge and understanding
After completing this module, students will be able to: - Describe how the development of the Web has enabled the creation of new forms of information systems and impacted commerce and public services.
- Explain different architectural approaches to application design and contrast traditional approaches with the underlying client–server model of Web applications.
- Describe the roles of the range of protocols and standards associated with Web applications and their communications, for the development of web applications.
- Explain the operation and properties of service, distributed and mobile approaches to web architecture.
- Demonstrate knowledge of a range of different programming languages and explain their differing roles and properties for web applications.
- Discuss issues of web design including, accessibility, usability, localisation and globalisation and the nature of static and dynamic content and different content delivery approaches
- Explain a range of security issues including secure protocols, use of certificates, authentication, authorisation, and firewalls
B. Cognitive skills
After completing this module, students will be able to: - Analyse requirements to produce a design for a simple web application, applying an understanding of requirements for aspects such as usability and accessibility.
- Describe a suitable architecture, components and standards as the basis for implementation of a web application for a public or business organisation.
- Construct, using appropriate code, a simple web application selecting and reusing code etc where appropriate. , transforms content and integrates services to produce a mobile application
C. Practical and professional skills
After completing this module, students will be able to: - Outline the importance of standards and standardisation bodies.
- Maintain an up-to-date view of ongoing developments in web technology including standards and techniques.
- Produce and manage design and development plans for a specific technical solution to a challenge in Web application development.
D. Key transferable skills
After completing this module, students will be able to: - Find, select and use information from a range of sources to support analysis, design and implementation tasks.
- Plan and produce a well-structured and researched quality report as part of a project.
- Plan and manage effort and progress whilst undertaking a substantial project.
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