​· تنمية مهارات التواصل اللغوي لدى الطالب، من خلال إكسابه بعض المعارف اللغوية المناسبة لمستوى الجامعة. · الإلمام بفنون البلاغة العربية، والتدرب على نماذجها. · التعرف على طبيعة الشعر، مفهوما، ومكانة، والوقوف على مفاتيح تذوقه، وضرورة قراءته. · التدرب على كتابة بعض النشاطات الكتابية مع الاستعمال الصحيح لعلامات الترقيم واجتناب الاخطاء الاملائية. · تبين عناصر الكتابة في كل فن من فنونها. · التعرف على الفنون النثرية، وسماتها. · الاطلاع على نماذج من النصوص، وصلاً للطالب بتراث امته وحضارته. 

​

​

​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). 

​A. Knowledge and understanding

At the end of the module, learners will be expected to:

1. 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.
2. 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.
   
3. 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.​
   
4. 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:

1. Select and critically analyse information relevant to a particular problem or issue related to business and management.
2. Evaluate and compare competing perspectives, theoretical models and concepts in the context of practical situations
3. 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:

1. 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.
2. 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:

1. Search for and use relevant digital and non-digital information from sources other than the module materials.
2. Compare critically and use different approaches to issues and problems within business management. Engage in critical reflection.
3. ​Consolidate an understanding of academic language and literacy practices in order to effectively engage with the academic knowledge and skills of Level 5 study.​​

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). ​

​A. Knowledge and understanding

At the end of the module, learners will be expected to:

1. Develop a critical appreciation of the interactions between various business functions (management and accounting) and the integrative complexity that shapes business innovation.
2. 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.
3.  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:

1. Select and critically analyse information relevant to a particular problem or issue related to business and management.
2. Evaluate and compare competing perspectives, theoretical models and concepts in the context of practical situations
3. 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:

1.  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.
2. 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:

1. Search for and use relevant digital and non-digital information from sources other than the module materials.
2. Compare critically and use different approaches to issues and problems within business management. Engage in critical reflection.
3.  Consolidate an understanding of academic language and literacy practices in order to effectively engage with the academic knowledge and skills of Level 5 study.​​
   
   

​​​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
  

​

​​A. Knowledge and understanding

At the end of the module, learners will be expected to:

1. Identify business functions
2. Recognize different business models and forms
3. Acquire knowledge of business ethics and social responsibility
4. Be aquatinted with the fundamentals of management. 

B. Cognitive skills

At the end of the module learners will be expected to:

1.  Differentiate between business structures and business forms.
   
2. Examine different models and theories and its effect in business life 
3.  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:

1. Analyse different business-related situations and forms.
   
2.  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.​
  
  

• ​Provi​de 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.
  
  

​A. Knowledge and understanding

At the end of the module, learners will be expected to: develop and demonstrate the following Knowledge and understanding:

1. The structure and dynamics of business environments; how businesses seek to track and analyse their environments;
2. 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;
3. Business processes and how they operate; the nature, structure and functioning of organisations; how and why organisations are changing;
4. 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;
5. How businesses develop strategies; the different forms and theories of strategy;
6. 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;
   
7. 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:

1.  Read material questioningly, identifying and recording key ideas and concepts in business studies;
   
2.  Synthesise material from a variety of sources, analysing and evaluating different perspectives, identifying biases and hidden assumptions;
   
3. Classify, recognise and organise material in distinct and relevant categories;
   
4.  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:

1. Transfer and use relevant key skills in the workplace context;
2. 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:
3. The ability to engage critically with the underlying challenges and problems facing a business;
4.  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:​

1. Interpersonal skills of effective listening, negotiating, persuasion and presentation;
2. 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;
3. Self reflection and criticality including self awareness, openness and sensitivity to diversity in terms of people, cultures, business and management issues;
4. Skills of learning to learn and developing a continuing appetite for learning; reflective, adaptive and collaborative learning.
   

​

​

أ. المعرفة والفهم

في نهاية المقرر، يُتوقع من المتعلمين أن:

• A1: يطوروا فهمًا جيدًا للمهارات اللغوية الأربع.

• A2: ينمّوا معرفتهم ويتعرفوا على بعض المفاهيم الأساسية لتحسين المهارات اللغوية.

ب. المهارات المعرفية

في نهاية المقرر، يُتوقع من المتعلمين أن:

• B1: يطوروا الوعي بالاستراتيجيات المناسبة لتحسين كل مهارة لغوية.

• B2: يطوروا الوعي بالعلاقة بين المهارات اللغوية الأربع.

ج. المهارات العملية والمهنية

في نهاية المقرر، يُتوقع من المتعلمين أن:

• C1: ينتجوا تقارير مكتوبة بشكل جيد ومقالات منظمة مكونة من ثلاث فقرات حول وظائف وأغراض كتابية مختلفة.

• C2: يقرؤوا نصوصًا قصيرة مكونة من صفحة إلى صفحتين بفهم واستيعاب معقول.

د. المهارات القابلة للنقل الرئيسية

• D1: إظهار القدرة على قراءة النصوص بفهم، مع استخدام بعض استراتيجيات وتقنيات القراءة الأساسية مثل المسح (scanning) والتصفح (skimming).

• D2: كتابة مقالة من ثلاث فقرات تتمتع بالترابط والاتساق.

  
  

​

أ. المعرفة والفهم

في نهاية المقرر، يُتوقع من المتعلمين أن:

• A1: يطوروا معرفة وفهمًا أكثر تقدمًا للمهارات اللغوية الأربع.

• A2: ينمّوا معرفتهم ويتعرفوا على مفاهيم أكثر تخصصًا لتحسين المهارات اللغوية، وخصوصًا مهارات القراءة والكتابة.

ب. المهارات المعرفية

في نهاية المقرر، يُتوقع من المتعلمين أن:

• B1: يطوروا وعيًا ناضجًا وأكثر تقدمًا بالاستراتيجيات المناسبة لتحسين كل مهارة لغوية.

• B2: يطوروا وعيًا عالي المستوى بالعلاقة بين المهارات اللغوية الأربع، مع التركيز بشكل خاص على مهارات القراءة والكتابة.

ج. المهارات العملية والمهنية

في نهاية المقرر، يُتوقع من المتعلمين أن:

• C1: ينتجوا تقارير مكتوبة بشكل جيد ومقالات مكونة من خمس فقرات، منظمة حول وظائف وأغراض كتابية مختلفة.

• C2: يقرؤوا نصوصًا طويلة بفهم واستيعاب معقول.
  

د. المهارات القابلة للنقل الرئيسية

• D1: إظهار قدرة متقدمة على قراءة النصوص بسهولة وفهم، باستخدام استراتيجيات وتقنيات القراءة الأساسية مثل المسح (scanning) والتصفح (skimming).

• D2: كتابة مقال مكون من خمس فقرات يتمتع بالترابط والاتساق، مع القدرة على التلخيص وإعادة الصياغة.
  

​

2. أهداف المقرر

يهدف هذا المقرر الى ما يلي:

1.اكتساب مهارات معاينة النصوص ومسحها واستنباط المعنى من السياق والتعرف على الفكرة الأساسية للنص وتلخيصه.

2. رفع مستوى الكفاءة اللغوية لدى الطلبة والتعرف على معاني النصوص.

3. مساعدة الطلبة على التحول الى الاستقلالية في التعلم بأخذ المبادرة لاكتساب وبناء مخزون خاص بهم من المفردات اللغوية.

4. إرشاد الطلبة الى التعرف على المفردات الجديدة المتخصصة ووسائل استخدامها.​​

​

3. مخرجات التعلم المرجوة

أ. المعرفة والفهم

في نهاية المقرر يتوقع من الطلبة ما يلي:

أ1. إظهار فهم النصوص المطلوب قراءتها.

 أ2. إبداء المعرفة باستراتيجيات التعلم المكتسبة و بفهمها.

أ3. إبداء المعرفة بالمعاني المختلفة للكلمات للوصول الى فهم أفضل للنصوص من خلال سياقها.

ب. المهارات المعرفية

لدى الانتهاء من دراسة المقرر يتوقع من الدارسين أن يكونوا قد تمكنوا من:

ب1. البحث عن وجمع معلومات محددة تتعلق بالموضوعات المطروحة للنقاش.

ب2. استخلاص استنتاجات للمواضيع التي تمت مناقشتها بناءً على البيانات التي تم جمعها والمعلومات التي تم تحليلها.

ب3.استخدام الكلمات المستفادة من سيناريوهات الحياة الحقيقية.

ب4.  تحسين مهارات التفكير التحليلي والنقدي من خلال تحديد "المعاني" الممكنة.

ب5.تحليل وظائف اللغة المستخدمة وتحديد التعبيرات اللغوية المفيدة.

ج. المهارات العملية والمهنية

لدى الانتهاء من دراسة المقرر يتوقع من الدارسين أن يكونوا قد تمكنوا من:

ج1. التواصل باللغة الإنجليزية شفوياً وكتابة في مناسبات مختلفة.

.  أو صور الخ للإيضاحFlipcharts  أوPowerpoint تقديم عروض شفهية مستخدما ج2.

ج3. تقييم

د. المهارات الرئيسية القابلة للتحويل

لدى الانتهاء من دراسة المقرر يتوقع من الدارسين أن يكونوا قد تمكنوا من:

د1. اغناء حصيلة الطالب من خلال التمعن بالمواد الجديدة والكتابة حولها.

د2. تطوير الثقة بالقدرة على التخاطب.

د3. تطوير مهارات عرض الموضوعات

​

يهدف المقرر إلى تأهيل الطلاب بفهم شامل لتحديات وفرص التنمية في الوطن العربي وتعزيز قدراتهم على المشاركة البنائة في هذا السياق

-         فهم وتحليل الوضع الراهن لعمليات التنمية في الوطن العربي من خلال منظور اجتماعي، ثقافي، وسياسي.

-         التعرف على القضايا الاستراتيجية المتعلقة بعمليات التنمية في الوطن العربي وفهم تأثيرها على التقدم الاقتصادي والاجتماعي.

-         استكشاف الفرص المتاحة لعمليات التنمية في الوطن العربي وتحدياتها، بما في ذلك تأثيرات التغيرات الثقافية والسياسية.

-         تحليل الموارد المتاحة للتنمية في الوطن العربي، سواء كانت موارد اقتصادية أو اجتماعية أو بيئية.

-         تعزيز الفهم لكيف يتفاعل البُعد الثقافي مع عمليات التنمية وكيف يمكن تكامل التراث الثقافي في سياق استراتيجيات التنمية.

-         التركيز على الجوانب الاجتماعية للتنمية، مع التحقق من كيف يؤثر التنمية على العدالة الاجتماعية والمساواة.

-         تعزيز التفكير الاستراتيجي بين الطلاب لفهم السياقات السياسية والاقتصادية التي تشكل تحديات وفرصًا للتنمية.

-         تشجيع المشاركة النقدية والنقاش حول الحلول الممكنة للمشكلات التنموية في الوطن العربي.

​

A. المعرفة والفهم (Knowledge and Understanding)

• فهم وتحليل الوضع الراهن لعمليات التنمية في الوطن العربي من خلال منظور اجتماعي، ثقافي، وسياسي.
• التعرف على القضايا الاستراتيجية المتعلقة بعمليات التنمية في الوطن العربي وفهم تأثيرها على التقدم الاقتصادي والاجتماعي.
• استكشاف الفرص المتاحة لعمليات التنمية في الوطن العربي وتحدياتها، بما في ذلك تأثيرات التغيرات الثقافية والسياسية.
• تحليل الموارد المتاحة للتنمية في الوطن العربي، سواء كانت موارد اقتصادية أو اجتماعية أو بيئية.
• تعزيز الفهم لكيفية تفاعل البُعد الثقافي مع عمليات التنمية وكيف يمكن تكامل التراث الثقافي في سياق استراتيجيات التنمية.

B. المهارات المعرفية (Cognitive Skills)

• تحليل الوضع الحالي للتنمية في الوطن العربي من خلال استخدام النظريات والمفاهيم الاجتماعية والثقافية والسياسية.
• تقييم القضايا الاستراتيجية والفرص والتحديات المتعلقة بعمليات التنمية في الوطن العربي.
• التفكير النقدي في كيفية تأثير العوامل الثقافية والسياسية على عمليات التنمية.
• تقديم تفسيرات وتحليلات تستند إلى البيانات والأدلة حول الموارد المتاحة للتنمية في الوطن العربي.

C. المهارات العملية والمهنية (Practical and Professional Skills)

• تطبيق المعرفة والنظريات المتعلقة بالتنمية على حالات واقعية في الوطن العربي.
• استخدام الأدوات والمنهجيات المناسبة لتحليل القضايا التنموية المعقدة.
• تطوير استراتيجيات تنموية متكاملة تأخذ في الاعتبار العوامل الثقافية والاجتماعية والسياسية والاقتصادية.
• تقديم حلول مبتكرة وقابلة للتطبيق للتحديات التنموية في الوطن العربي.

D. المهارات القابلة للنقل (Key Transferable Skills)

• تعزيز التفكير الاستراتيجي لفهم السياقات السياسية والاقتصادية التي تشكل تحديات وفرصًا للتنمية.
• تشجيع المشاركة النقدية والنقاش حول الحلول الممكنة للمشكلات التنموية في الوطن العربي.
• تطوير القدرة على التواصل بفعالية مع الأقران والمختصين في مجال التنمية.
• تعزيز الوعي الاجتماعي والعدالة والمساواة من خلال فهم تأثيرات التنمية على هذه الجوانب.
• تحسين مهارات البحث والتحليل والتفكير النقدي ل لتعامل مع القضايا التنموية بشكل فعال.
  
  

​

أ) المعرفة والفهم (Knowledge & Understanding):

بعد دراسة هذا المقرر، يُتوقع من الطالب أن يمتلك معرفة وفهمًا لما يأتي:

• تعريف العولمة في النظام العالمي الجديد.
• ذكر أهم ملامح التشكيلات الكلية في النظام العالمي.
• ذكر عوامل وأسباب تفاعل الحضارات.
• ذكر عوامل وأسباب صراع الحضارات.
  

​

أ) المعرفة والفهم (Knowledge & Understanding):

بعد دراسة هذا المقرر، يُتوقع من الطالب أن يمتلك معرفة وفهمًا لما يأتي:

• ماهية المهارة، والتمييز بينها وبين القدرة والمعرفة.
• أهمية مهارة معالجة المعلومات وتوظيفها في عملية التعلم.
• طرائق اكتساب المهارات من خلال فهم (سُلَّم التعلم).
• أهمية مهارات إدارة الضغوط النفسية.
• بنود الإعلان العالمي لحقوق الإنسان، وحقوق المرأة.
  
  

ج) المهارات المهنية التطبيقية (Practical Professional Skills):

بعد دراسة هذا المقرر، يُتوقع من الطالب أن يكون قادرًا على:

• تطبيق أفضل الوسائل لحل المشكلات والنزاعات بطرق تحليلية ومنطقية.
• تطبيق الأساليب التي تُمكنه من اكتشاف ذاته وتطويرها.
• توظيف مهارات الاتصال في الحياة الجامعية.
• توظيف مهارة الثقة بالنفس في بناء شخصية متكاملة.
  

​Exposing students to work-based learning experience in IT field. 

​

A student who complete this course will be able to:

• Face practical challenges in a real working IT environment
• Apply his knowledge in a practical setting
• Appreciate the responsibilities of a computer and communications specialist
• Demonstrate real problem solving and critical thinking skills
• Communicate effectively and work ethics
• Recognize and identify the potential employers
• Recognize the different codes of practice
• Enhance his teamwork skills
• Design and implement a practical project and evaluate its success

Appreciate the progress of professional development report about real work experience. ​

• 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.

​A. Knowledge and understanding

​

​This module aims to: 

​​

​

• ​In​troduce 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
  

​​​​A. Knowledge and understanding

After studying the module, the student will be able to demonstrate:

1. An understanding of the object-oriented principles
2. Some knowledge of the main constructs and mechanisms in Java
3. An appreciation of the implications of object oriented software analysis and design
4. 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:

1. Describe and apply key concepts and techniques in software design and development
2. Analyze and abstract away from the details of a problem
3. 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:

1. Assemble, program, develop, debug, test and evaluate software systems
   
2. Use software tools such as a Java IDE
3. Use good design and programming practice
4. Develop and implement class relationships​

D. Key transferable skills 

After studying the module, the student will be able to:

1. Find information from a range of sources to support a task
2. Plan complex tasks
3. Use new Java libraries
4. Use appropriate numerical, mathematical and abstraction skills
5. Progress to more advanced level studies​​​

• ​​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.​​
  

​

​A. Knowledge and understanding

Upon completing this module, students will be able to:

1. Identify and define the sets, functions and logic, and their application in the design, implementation and analysis of computer-based systems.
2. Define and recognize Data structure and computational problematic.​

B. Cognitive skills

Upon completing this module, students will be able to:

1. Explain, construct and use algorithms and data structures to solve computational problems.
2. Describe and assess the difficulty of computational problems.
3. A​nalyse 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:

1. Use the Python programming language to implement algorithms.
2. 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:

1. Apply appropriate computational problem-solving techniques to a range of problems;
2. Apply computational thinking skills to solve problems across a range of application areas.
3. ​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.​
   

​

This module aims to 

1. Provide the students with the required skills to possess the computational thinking. These skills start by proper understanding and analysing 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.

​

​A. Knowledge and understanding

At the end of the module, learners will have knowledge and understanding of:

A1. Identify the application of the sets, functions, and logic in the design, implementation and analysis of computer -based systems.

A2. Recognize the meaning of computation and its limits, and explain their important implications for the practical use of computer-based systems. 

B. Cognitive skills 

At the end of the module learners will have developed the following cognitive skills:

B1. Assess the difficulty of computational problems.

B2. Apply computational thinking skills to solve problems across a range of application areas.

C. Practical and professional skills

At the end of the module, learners will be able to:

C1. Use the Python language to implement algorithms. 

C2. Analyse the complexity of a given algorithm

C3. Design an efficient algorithm using the appropriate data structures to solve problems

D Key transferable skills  

At the end of the module, learners will be able to:

D1. Write a short report  which is based on one or more sources which has a well –argued conclusion  ​

• ​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.​
  

​

A. Knowledge and understanding​​

Upon completing this module, students will be able to:

1. Explain the various important units of physics and the concept of dimensional analysis and the representation and manipulation of physical quantities
2. Outline the laws of classical mechanics
3. Contrast and differentiate among the different types of waves and summarize their properties
4. Explain electric forces and fields and summarize their properties
5. Illustrate and explain basic passive electric circuits
   ​
   

B. Cognitive skills

Upon completing this module, students will be able to:

1.  Identify concepts and quantities in physics precisely beyond what is used in everyday language.
2. Apply strategies for solving problems in physics in different situations.
3. Use vector algebra to the study of mechanics in two dimensions.
4. Analyze passive electric circuits.
5. Analyze wave propagation in different materials.​

C. Practical and professional skills

Upon completing this module, students will be able to:

1. Use and interpret different types of graphs to display the relationship between variables
2. Analyze the forces of static and dynamic bodies in simple mechanical systems
3. Calculate the velocity and acceleration of bodies in different types of plane motion
4. Determine basic parameters of waves propagating in different materials
5. Calculate voltages and currents in passive electric circuits​

D. Key transferable skills 

Use the learning Management System (LMS) effectively to improve own learning performance.

1. Demonstrate active participation and contribution to classroom discussions.
2. Improve own learning and performance through self-reflection.
   
3. Demonstrate effective communicate about technical matters.​
   

​The module aims to​:

• Apply the knowledge of elementary functions to calculus concepts.
• To compute the derivative of polynomials, rational, radical, trigonometric, exponential, and logarithmic functions.
• Evaluate the integrals of polynomials, rational, radical, trigonometric, exponential, and logarithmic functions.
• Introduce the terms and concept of probability, and the idea of discrete and continuous random variables.
• Ensure the understanding of mathematical expectations and moment generating functions concepts.
• Equip students with some important discrete and continuous probability distributions in technology and communication modules
  

​A. Knowledge and understanding

Students will be able to:

1. Use derivative rule to find derivatives of power, exponential, logarithmic and trigonometric functions.
2. Solve simple definite and indefinite integrals.
3. Use applications of differentiation and integration in sketching graphs, obtain area between curves and average value of functions.
4. Define and identify random variables for any well- defined probability problems. 
5. Realize mathematical expectations and variances for different continuous and discrete distribution​

B. Cognitive skills

Students should be able to:

1. Produce descriptions and explanations of the different types of elementary functions and apply their understanding of the studied functions to information systems.
2. Display deep knowledge gained from the course and use it to solve optimization problems.
3. Utilize knowledge gained from the course to help them to understand new unfamiliar probability distributions.​

C. Practical and professional skills

Students will be able to:

1. Apply the practical skills gained from differential and integral calculus ITC problems.
2. Cultivate the capacity to be leaders in their professional and personal communities.
3. Develop some technical statistical materials; effectively present and objectively evaluate them.
4. Deal with statistical computer applications such as spread sheets and MATLAB statistics toolbox.​

​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.​​
  
  

​A. Knowledge and understanding

Students will be able to:

1. Identify propositional logic, logical equivalence, predicates and quantifiers.
2. Describe the Integers and division functions, prime number and prime factorization, least common multiple and highest common factors.
3. 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.
4. Use matrices to represent relations, graphs and trees.
5. Recognize basic properties of counting techniques using permutation and combination properties. ​

B. Cognitive skills

Students will be able to:

1. Deal with mathematical and logical arguments and carry out mathematical and logical manipulations.
2. Acquire a good understanding of the concepts and methods of discrete mathematics described in detail in the syllabus.
3. Be familiar with mathematical notations related to computer science.​

C. Practical and professional skills

Students will be able to:

1. Prove any simple mathematical theory using logic laws
2. Use any or all of the previous tools in a significant information and communication technology application such as cryptography.
3. Apply combinatorial principles and discrete mathematical structures that are central to mathematics and information technology.​

D. Key transferable skills

Students will be able to:

1. 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;
2. Present  and communicate basic mathematical and logical arguments; communicate appropriately with their tutor and other students using email and online conferences;
3. Locate information on a given subject from the World Wide Web​​
   
   

​

The module aims to:

• Introduce basic notations used in discrete Mathematics associated with information and communication technology.
• Impart knowledge and understanding of fundamental concepts 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. 

​

​A. Knowledge and understanding

At the end of the module, learners will be expected to:

A.1. Identify propositional logic, logical equivalence, predicates and quantifiers.

A.2. Describe the Integers and division functions, prime number and prime factorization, least common multiple and highest common factors.

A.3. 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.

A.4. Use matrices to represent relations, graphs and trees. 

A.5. Recognize basic properties of counting techniques using permutation and combination properties. 

B. Cognitive skills 

Students should be able to:

B.1. Deal with mathematical and logical arguments and carry out mathematical and logical manipulations.

B.2. Acquire a good understanding of the concepts and methods of discrete 

B. Cognitive skills ​

mathematics described in detail in the syllabus.

B.3. Be familiar with mathematical notations related to computer science. 

C. Practical and professional skills

At the end of the module, learners will be expected to:

C.1. Prove any simple mathematical theory using logic laws

C.2. Use any or all of the previous tools in a significant information and communication technology application such as cryptography. 

C.3. Apply combinatorial principles and discrete mathematical structures that are central to mathematics and information technology. 

At the end of the module, learners will be expected to:

D.1. 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;

D.2. Present  and communicate basic mathematical and logical arguments; 

D. Key transferable skills  

communicate appropriately with their tutor and other students using email and online conferences;

D.3. Locate information on a given subject from the World Wide Web. ​

​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. ​
  
  

​A. Knowledge and understanding

Student will be able to:

1. Define and classify type of matrices and perform matrix operations.
2. Solve problems in information systems and communication using matrix techniques.
3. Use and apply linear algebra knowledge and concepts to information technologies and computing.
4. Be familiar with different terminologies in linear algebra and matrix transformation.
5. 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:

1. Produce descriptions and explanations of the different types of matrices and linear operations.
2. Apply their understanding of the studied ideas in linear algebra to coding problems, encryption and decryption.
3. 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:

1. Communicate effectively in English and Arabic in a variety of contexts and media.
2. Analyze a mass of information and carry out an appropriate analysis of the problem material.
3. Express a problem in mathematical terms and carry out an appropriate analysis.
4. Reason critically and interpret information in a manner that can be communicated effectively.
5. I​ntegrate and link information across course components.

D. Key transferable skills 

Students should be able to demonstrate that they can:

1. Communicate complex information, arguments and ideas effectively and without plagiarism on a range of topics relating to linear operations.
2. Perform calculations to find inverse of a matrix, use and manipulate simple algebraic calculations to solve linear system of equations.
3. Use technology to find a span and a basis for a vector space. 
4. Enhance existing numerical ability.
5. ​Work effectively as part of a group in solving any complicated mathematical problems.​
   

​

The module 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.
• Impart knowledge and understanding of the concept of linear transformation necessary for other compulsory technology and communication modules.

Upgrade feelings for the mathematical approach to the study of information technology and computing

​

​Knowledge and understanding

At the end of the module, learners will be expected to:

A.1. Define and classify type of matrices and perform matrix operations.

A.2. Solve problems in information systems and communication using matrix techniques.

A.3. Use and apply linear algebra knowledge and concepts to information technologies and computing.

A.4. Be familiar with different terminologies in linear algebra and matrix transformation.

A.5. Acquire technical material, effectively present it and objectively evaluate other technical materials in linear algebra. B. Cognitive skills ​

Students should be able to:

B.1. Produce descriptions and explanations of the different types of matrices and linear operations.

B.2. Apply their understanding of the studied ideas in linear algebra to coding problems, encryption and decryption. 

B. Cognitive skills ​

C. Practical and professional skills​

At the end of the module, learners will be expected to:

C.1. Communicate effectively in English and Arabic in a variety of contexts and media. 

C.2. Analyze a mass of information and carry out an appropriate analysis of the problem material.

C.3. Express a problem in mathematical terms and carry out an appropriate analysis.

C.4. Reason critically and interpret information in a manner that can be communicated effectively.

C.5. Integrate and link information across course components. 

D. Key transferable skills  

D.1. Communicate complex information, arguments and ideas effectively and without plagiarism on a range of topics relating to linear operations.

D.2. Perform calculations to find inverse of a matrix, use and manipulate simple algebraic calculations to solve linear system of equations.

D.3. Use technology to find a span and a basis for a vector space. 

D.4. Enhance existing numerical ability.

D.5. Work effectively as part of a group in solving any complicated mathematical problems. 

​

​

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. 

​

​A. Knowledge and understanding

At the end of the module, learners will be expected to:

A.1. Use a variety of methods for exploring, summarizing and presenting data.

A.2. Have knowledge and understanding of basic probability models and their use for modelling discrete and continuous data.

A.3. Realize the different probability distributions types, their structures and standards. 

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. Solve practical problems by formulating problems in a statistical framework and applying appropriate statistical techniques.

B.3. Be able to 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. Apply mathematical and statistical concepts and principles. 

C.2. Analyse and evaluate criteria and specifications appropriate to specific problems and plan strategies for their solutions.

C.3. 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.

C.4. 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:

D.1. Apply statistical modelling and analysis techniques to a wide range of practical problems .

D.2. Analyse and to evaluate practical problems involving statistical data and plan strategies for their solution.

D.3. Communicate in writing about statistical and probability modelling, communicate relevant information accurately and effectively, using a form, structure and style that suits the purpose. 

D. Key transferable skills  

D.4. Use mathematical and statistical software with confidence.

D.5. Acquire further knowledge with little guidance or support. ​

​The module aims to give solid understanding about the following:

1. The fundamentals of parallel computing.
2. Parallel operation.
3. The different core concepts behind the hardware layer of a computer system.
4. Performance and limitations of parallel systems
5. The processor's architecture of parallel systems and its interconnection networks.
6. The parallel algorithms. ​
   

​

​A. Knowledge and understanding

Upon completing this module, students will be able to:

1.  Understand of the fundamental concept and issues of parallel computing
2. Recognize  parallel programming experience solving computationally intensive problems in a variety of disciplines
3. 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:

1. Practice Parallel programming platforms
2. Apply Principles of parallel algorithm design
3. Illustrate Basic communication operations
4. Perform Analytical modelling of parallel programs
5. Develop Programming using the message-passing paradigm (MPI)​

C. Practical and professional skills

Upon completing this module, students will be able to:

1. Apply the techniques and theorems in real applications.
2. Analyze specific data and information to build the parallel models
3. 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:

1. Gather data from various sources, including the electronic media, such as internet.
2. Choose a case study from the real world and apply the techniques studied.
3. Show responsibility for the preparation of the case study and manage the presentation schedule of his/her work.
4. ​Exercise research skills, such as data collection, tabulation, analysis, report presentation and class discussions.​
   
   

​This Module discovers the concepts and technologies for the state of art topics: Service-Oriented Architecture (SOA) and Cloud Computing.  It identify a comprehensive and systematic understanding to the latest SOA and Cloud Computing technologies. Moreover, it examine practical experience in designing large-scale composite web service applications.

After finishing successfully this Module you should be able to:

• Discover the benefit of using Service-Oriented Architecture to design modern software systems
• Interpret the key features and building blocks of Web Service including WSDL, SOAP and UDDI
• Develop programs using Microsoft .NET　and C# language
• Apply service-based web application using ASP.NET and AJAX
• Create service-oriented application using Windows Communication Foundation
  build RESTful web service using Windows Communication Foundation
• Outline the relationship between Cloud Computing and SOA; compare different cloud computing services​
  

​

​A. Knowledge and understanding

Upon completing this Module, students will be able to have:

1. Construct a well-founded knowledge in the field of study.
2. Compare other disciplines that are related to the field of study.
3. Develop international perspective on the field of study.​

B. Cognitive skills

Upon completing this Module, students will be able to:

1. Collect, analyse and organise information and ideas and to convey those ideas clearly and fluently, in both written and spoken forms.  
2. Interact effectively with others in order to work towards a common outcome. 
3. Select and use the appropriate level, style and means of communication.      
4. Engage effectively and appropriately with information and communication technologies.
   

C. Practical and professional skills

Upon completing this Module, students will be able to:

1. Develop programs using Microsoft .NET and C# and service-based web application using ASP.NET and AJAX
2. Build service-oriented application using Windows Communication Foundation
3. Build RESTful web service using Windows Communication Foundation
   

D. Key transferable skills 

Upon completing this Module, students will be able to:

1. Work and learn independently.   
2. Generate ideas and adapt innovatively to changing environments.     
3. ​​Identify problems creates solutions, innovate and improve current practices​
   

​​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.
  

​

A. Knowledge and understanding

On successful completion of this course, the student will be able to demonstrate knowledge and understanding of:

1. Basic image representation concepts.
2. Spatial domain image processing techniques of intensity transformation and filtering.
3. Frequency domain image processing techniques of filtering and masking.
4. Data reduction and image coding methods.
5. Basic image segmentation concepts and techniques.
   

B. Cognitive skills

On successful completion of this course, the student will be able to:

1. Critically evaluate and suggest spatial domain processing techniques for image enhancement purposes.
2. Analyse and suggest appropriate frequency domain filtering techniques suitable for image processing tasks.
3. Critically interpret histogram data of images and suggest appropriate image processing techniques for image enhancement.
4. Analyze various image coding techniques and select the appropriate one for a particular task.
5. Evaluate and interpret image segmentation results.

C. Practical and professional skills

On successful completion of this course, the student will be able to:

1. Apply skills and concepts from the course to develop practical image processing projects.
2. Develop, Interpret and Implement image enhancement techniques both in the spatial and frequency domains.
3. 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:

1. Apply the mathematical and algorithmic skills acquired in this course to other areas of study and work.
2. Carry out independent learning on topics related to image processing and computing.
3. Communicate ideas and concepts about image processing techniques effectively both in writing as well as in any group discussion or environment.​​
   

​​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.
  

​

​A. Knowledge and understanding

After studying the module you will be able to:

1. Describe cyber security fundamentals
2. Explain cyber security management and its importance to organizations
3. Evaluate the principles of cyber security governance to sustain and improve the security posture of an organisation
4.  Interpret the importance of risk analysis and management in protecting an organization from cyber threats
5.  Evaluate cyber security management policies, standards, and processes
6. Define the most common cyber security threats and analyse appropriate countermeasures
7. Describe and discuss the application of an integrated security mechanism​

B. Cognitive skills

1. Recognise and define the main issues and challenges related to protecting and safeguarding organisations from cyber security risks
2. 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
   

• ​​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.​
  

​A. Knowledge and understanding

Upon completing this module, students should be able to:

1. 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.
2. Explain key principles and concepts relating to digital data including the storage, manipulation and transmission of digital data.
3. Identify major trends in communication and information technologies.
4. Enhance their scientific reading and writing skills for writing short reports.
   

B. Cognitive skills

Upon completing this module, students should be able to:

1. Produce descriptions and explanations of the communication and information systems that feature in the module and of their underlying technologies and component devices
2. 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.
3. 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.
4. Analyze and discuss some of the technological, social, legal, ethical and personal issues that relate to communication and information systems, technologies and devices.
5. Realize an overview of the way in which mobile telephone systems have developed from its first generation till LTE stage.​
   

Upon completing this module, students should be able to:

1. Critique draft materials in order to improve them
2. Use standard office and communication software effectively to support their work

D. Key transferable skills 

Upon completing this module, students should be able to:

1. 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
2. Perform simple calculations relating to communication and information systems, use and manipulate simple algebraic equations and interpret and produce graphical and tabular data
3. Use information technology to find information from various sources and evaluate that information
4. ​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.​
   
   

• ​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.​
  
  

​

​A. Knowledge and understanding

Upon completing this module, students should be able to:

1. 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.
2. Explain major trends of the fastest expanding areas of ICT, that of audio and video production and its potential for entertaining us.
3. Understand key concepts, issues and technologies associated with online communication.
4. Enhance the scientific reading and writing skills for writing long reports.
   

B. Cognitive skills

Upon completing this module, students should be able to:

1. Produce descriptions and explanations of the fundamental building block of all modern security systems which is encryption.
2. 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.
3. 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.
4. 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.
5. 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

1. Upon completing this module, students should be able to:
2. Critique draft materials in order to improve them
3. Experiment with some fingerprint recognition tools and evaluate the system using the given data set.
4. Use specialised software tools as AviSynth script language to provide the students with basic skills required to produce video from still images.​

• ​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.
  
  

​A. Knowledge and understanding

After studying the module the student will be able to:

1. 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 
2. Describe the importance of addressing and naming schemes at various layers of data networks in IPv4 and IPv6 environments
   
3. Describe Ethernet and basic switching concepts, as well as the operation of Cisco switches
   
4. 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
   
5. Describe the purpose, nature, and operations of a router, routing tables, and the route lookup process
   
6. Describe how VLANs create logically separate networks and how routing occurs between them
   
7. Describe dynamic routing protocols, distance vector routing protocols, and link-state routing protocols
   
8. 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:

1. Design, calculate, and apply subnet masks and addresses to fulfil given requirements in IPv4 and IPv6 network
2. Build simple Ethernet network using routers and switches
3. Troubleshoot and monitor networks​

C. Practical and professional skills

After studying the module the student will be able to:

1. Build a simple Ethernet network using routers and switches 
2. Use Cisco command-line interface (CLI) commands to perform basic router and switch configurations
3. Utilize common network utilities to verify small network operations and analyze data traffic
4.  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:

1. Build simple LANs, perform basic configurations for routers and switches, and implement IP addressing schemes.
   
2. 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.​
   

• ​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.
  
  

A. Knowledge and understanding

After studying the module the student will be able to:

1.  Describe the operations and benefits of the Spanning Tree Protocol (STP)
2. Describe the operations and benefits of link aggregation and Cisco VLAN Trunk Protocol (VTP)
3. Describe the operations and benefits of EtherChannel and HSRP. 
4. Explain the operations and benefits of Open Shortest Path First (OSPF) protocol (single-area OSPF and multi-area OSPF) 
5. Explain the operations and benefits of Enhanced Interior Gateway Routing Protocol (EIGRP)
6.  Describe the different WAN technologies and their benefits
7.  Explain the operations and benefits of Standard and Extended Access control list (ACL).
8. xplain the common LAN security threats and how to mitigate them​
   

• Gain an understanding of how social, technological, economic, environmental, political, legislative and ethical factors drive and enable change in the workplace.
• Develop knowledge, understanding, confidence and ​competence in project working and related employability skills
• Evaluate, develop and review personal, academic and professional skills
• Apply skills and knowledge to planning and presenting a project proposal that is capable of being implemented in their workplace.
  
  

​A. Knowledge and understanding

1. Identify, analyse and explain the factors driving change in the workplace and the opportunities for introducing change, along with the associated challenges and consequences in terms of human and other factors.
2. Understand and explain the processes involved in designing, planning, monitoring, implementing and reviewing work-based projects.
3. Make effective use of appropriate information and communication technologies, and understand and explain their role in planning and communicating information relating to a work-based project designed to implement some aspect of workplace change.​

B. Cognitive skills

1. Apply knowledge and understanding effectively to a range of issues, questions and problems arising from the planning of a work-based project.
2. Explore, analyse and evaluate practical ways of improving workplace practices using appropriate information and communication technologies to develop components of a personal work-based project.​

C. Practical and professional skills

1. Use the workplace to learn, practise and develop your professional competence.
2. Use appropriate information and communication technologies in a professional context.
3. Plan, organise your time and work effectively.
4. Review, analyse and record ongoing learning needs to maintain and develop skills in the context of the workplace using appropriate information and communication technologies.
5.  Develop an awareness of ethical issues relevant to the workplace.​

D. Key transferable skills 

1. Plan, monitor and evaluate your study as an independent learner.
2. Use appropriate information and communication technologies to support your own learning.
3. Identify, critically assess and use information or data accurately in a range of contexts.
4. Communicate information, arguments and ideas effectively using technologies, styles and language appropriate to purpose and audience.
5. ​Critically compare, analyse and use a variety of approaches appropriate to understanding issues or problems arising in the context of workplace change and projects.​

• ​​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
  

​

​A. Knowledge and understanding

After studying the course you will be able to:

1.  Describe and analyse the operation of co-existing wireless networks and the possibilities of cooperation and interaction between these networks
2.  Discuss the role of sensor networks and machine-to-machine communications (M2M) in the internet of things (IoT) and describe the underlying challenges
3.  Describe the concepts of software defined networks (SDN) and network function virtualization (NFV), and discuss their role in advanced network management and administration
4. Discuss advanced routing concepts, such as the Border Gateway Protocol (BGP)
5. Discuss Cloud Computing and Big Data concepts
6. Differentiate between QoE and QoS, and discuss QoE metrics for specific applications, e.g. voice (VoIP) and video
7. 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:​

1. Analyse the interaction between different technologies and networks in a complex setup involving multiple networks
   
2. 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
   
3. 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:

1. Use the studied concepts to analyse and assess the operation of complex networks
   
2. 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
   
3. Design QoE measurement and resource allocation techniques for enhancing QoE performance of networks using the studied concepts
4. Be ready to tackle complex networking scenarios through self-learning and research skills coupled with the learned course material​
   

• ​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.
  
  

​A. Knowledge and understanding

After studying the course you will be able to:

1. Describe the operation of encryption techniques: symmetric and asymmetric ciphers, block and stream ciphers
   
2.  Define and explain the differences between different encryption algorithms and standards
   
3. Analyse and compare the performance of different encryption methods
   
4. Design and implement encryption algorithms
5. Describe the protocols for physical, network, and transport level security
6. Define the most common threats to network and internet security, explain their operation, and discuss their differences
7.  Describe the protocols and countermeasures used for protecting network and internet traffic​

B. Cognitive skills

After studying the course you will be able to:

1. Recognise the threats to network security and assess their inherent risks 
2. 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:

1. Use the studied concepts to implement, analyse, and assess different encryption algorithms and techniques
   
2. Identify the threats to network security and take appropriate countermeasures 
   

D. Key transferable skills 

After studying the course you will be able to:

1. Become an independent self-learner in order to tackle more advanced topics and remain up-to-date in the field of network security
   
2. Improve your technical writing skills on topics related to cryptography and network security​
   

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

​A. Knowledge and understanding

The module provides student with an understanding of:

1. Historical developments of computers.
2. The Von-Neumann Model.
3. Data representation and arithmetic in Computer Systems.
4. Boolean Algebra and Digital Logic.
5. Assembly language of an intuitive architecture (MARIE).
6. Memory organization and addressing modes.
7. Cache memory mapping Schemes.

B. Cognitive skills

To be able to

1. Identify the different parts of any computer system and understand their roles.
2. Understand the instruction set of any modern computer system.
3. ​Evaluate the performance of modern computer systems.

C. Practical and professional skills

To be able to

1. Have an awareness of the process of designing, writing and testing  MARIE assembly programs.
2. Use low level programming skills appropriate to a task.
3. Ability to use the MARIE and data path simulator software.

D. Key transferable skills 

To be able to

1. Interact effectively within a group using electronic conferencing techniques.
2. Contribute to discussions on a conference.
3. Improve own learning and performance.
4. Communicate effectively about testing strategies, design and low level codes.
5. ​Use electronic media (the web and electronic conferencing) for information retrieval and communication.​
   
   

​

This module aims to:

• Emphasize on the concept of computer organization.
• Emphasize on the concept computer architecture.
• Comprehend the different core concepts behind the hardware layer of a computer system.
• Recognize the mathematical concepts of the low-level computer structure (circuits and gates).
• Know the processor's instruction sets architecture and implementation.

Recognize the memory organization concept and methods.

​

​A. Knowledge and understanding

The module provides student with an understanding of: 

A1. Historical developments of computers.

A2. The Von-Neumann Model.

A3. Data representation and arithmetic in Computer Systems.

A4. Boolean Algebra and Digital Logic.

A5. Assembly language of an intuitive architecture (MARIE).

A6. Memory organization and addressing modes. 

A7. Cache memory mapping Schemes.

B. Cognitive skills  ​

At the end of the module learners will have developed the following cognitive skills:

B1. Identify the different parts of any computer system and understand their roles.

B2. Understand the instruction set of any modern computer system.

B3. Evaluate the performance of modern computer systems.

B4. 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 able to:

C1. Have an awareness of the process of designing, writing, and testing  MARIE assembly programs.

C2. Use low level programming skills appropriate to a task.

C3. Ability to use the MARIE and data path simulator software.

C4. Demonstrate study skills at a level appropriate to higher education, such as study planning, learning from feedback and reading actively  

D Key transferable skills  

At the end of the module, learners will be able to:

D1. Interact effectively within a group using electronic conferencing techniques.

D2. Contribute to discussions on a conference.

D3. Improve own learning and performance.

D4. Communicate effectively about testing strategies, design and low-level codes.

D5. Use electronic media (the web and electronic conferencing) for information retrieval and communication 

​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.
  
  

​A. Knowledge and understanding

After studying the module, the student will be able to:

1. Understanding of the design and programming processes
2. Knowledge of the main constructs and mechanisms in programming using Java language.
3. Understanding of the techniques used in developing a medium Java application.
4. 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:

1. Describe and apply key concepts and techniques in software design and development.
2. Analyse and abstract away from the details of a problem.
3. Design and formulate an appropriate solution to a problem and evaluate it.
4. Deal professionally with the basic data structures.

C. Practical and professional skills

After studying the module, the student should be able to:

1. Create, develop and trace Java programs.
2. Use software tools such as a Java IDE and an On-line Java compiler.
3. Use appropriate programming skills.
4. 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:

1. Find information from a range of sources to support a task.
2. Plan medium tasks.
3. Use Java libraries.
4. Use appropriate numerical, mathematical and abstraction skills. 
   

• Help students to develop their understanding about the significant role of computers in our lives.
• Explore some processes by which sound and images in the real world are captured and stored and may be shared with peers and the wider world through social networking sites.
• Introduce 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.
• Introduce students to the key concepts and technologies underpinning the communication networks.
• Prepare the student for further academic study by helping him develop his study skills.
  
  

​A. Knowledge and understanding

1. Understand the fundamental principles, concepts and techniques underlying Computing and IT.
2. Explore various 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
3. Be aware of the ethical, social and legal issues that can be associated with the development and deployment of Computing & IT systems.
4. Demonstrate an understanding of algorithmic thinking and problem-solving skills using examples from everyday life.
5. Understand the general principles, roles of various components, and the challenges involved in sending data across communication networks.
6. Know how to find, rank and reference information; how to build your information literacy skills and how to interpret data in different forms.​

B. Cognitive skills

1. Evaluate key computing and IT concepts in a range of contexts.
2. Apply appropriate techniques and tools for abstracting, modelling, problem solving, designing and testing computing and IT systems.
3. Compare, contrast, critically analyze and refine specifications and implementations of software systems and/or simple hardware systems.
4. Identify situations in which different network technologies may be used.
   

C. Practical and professional skills

1. Communicate information, arguments, ideas and issues clearly and in appropriate ways, bearing in mind the audience for and the purpose of your communication.
2. Use appropriate numerical and mathematical skills to carry out calculations and analyze data.
3. Work independently, planning, monitoring, reflecting on and improving your own learning
4. Demonstrate study skills at a level appropriate to higher education, such as study planning, learning from feedback and reading actively 
   

D Key transferable skills 

1. Evaluate computing and IT systems, using appropriate simulation and modelling tools where appropriate
2. Use a range of resources to help you develop as an independent learner.
3. Use information literacy skills, computers and software packages appropriate to the workplace.
4. Communicate appropriately with your tutor and other students using email, online conferences and forums.​​

• ​​Help s​tudents 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
  

​A. Knowledge and understanding

1. Understand the fundamental principles, concepts and techniques underlying Computing and IT.
2. Identify  a range of models to support the analysis and design of Computing and IT systems
3. Know how to implement solutions to simple problems using Python programming language.
4. 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
5. Understand  the ethical, social and legal issues that can be associated with the development and deployment of Computing & IT systems
6. Describe major trends in Computing and IT and of the implications of these trends ​

B. Cognitive skills

1. Evaluate key computing and IT concepts in a range of contexts.
2. Apply appropriate techniques and tools for abstracting, modelling, problem solving, designing and testing computing and IT systems.
3. Compare, contrast, critically analyze and refine specifications and implementations of software systems and/or simple hardware systems.
4. 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

1. Communicate information, arguments, ideas and issues clearly and in appropriate ways, bearing in mind the audience for and the purpose of your communication.
2. Use appropriate numerical and mathematical skills to carry out calculations and analyze data.
3. Work independently, planning, monitoring, reflecting on and improving your own learning
4. Demonstrate study skills at a level appropriate to higher education, such as study planning, learning from feedback and reading actively 
   

D. Key transferable skills 

1. Evaluate computing and IT systems, using appropriate simulation and modelling tools where appropriate
2. Use a range of resources to help you develop as an independent learner.
3. Use information literacy skills, computers and software packages appropriate to the workplace.
4. Communicate appropriately with your tutor and other students using email, online conferences and forums.​

​

This module aims to:

• Help students to develop their understanding about the significant role of computers in our lives.
• Explore some processes by which sound and images in the real world are captured and stored and may be shared with peers and the wider world through social networking sites.
• Explore a variety of information technologies, from basic computer architecture, cloud computing, mobile/wireless, location-based computing, and operating systems.
• Introduce students to the key concepts and technologies underpinning the communication networks
• Help students to practice the use of computing and information technologies to solve problems.
• Enable students to explore how personal and private data can be protected.

Prepare the student for further academic study by helping him develop his study skills.

​

​A. Knowledge and understanding

After studying the module, learners will be able to:

A1. Understand the fundamental principles, concepts and techniques underlying Computing and IT.

A2. Explore various 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 

A3. Identify and learn what operating systems are, and what they do.

A4. Understand the general principles, roles of various components, and the challenges involved in sending data across communication networks.

A5. Know how to find, rank and reference information; how to build information literacy skills and how to interpret data in different forms

B. Cognitive skills 

At the end of the module learners will have developed the following cognitive skills:

B1. Evaluate key computing and IT concepts in a range of contexts.

B2. Compare, contrast, critically analyze and refine specifications and implementations of software systems and/or simple hardware systems.

B3. Describe and discuss the operating systems basis for future work in other areas.

B4. 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 able to:

C1. Communicate information, arguments, ideas, and issues clearly and in appropriate ways, bearing in mind the audience for and the purpose of your communication.

C2. Use appropriate numerical and mathematical skills to carry out calculations and analyze data.

C3. Work independently, planning, monitoring, reflecting on and improving learner's own learning

C4. Demonstrate study skills at a level appropriate to higher education, such as study planning, learning from feedback and reading actively 

D Key transferable skills  

At the end of the module, learners will be able to:

D1. Evaluate computing and IT systems, using appropriate simulation and modelling tools where appropriate.

D2. Use a range of resources to help him develop as an independent learner.

D3. Use information literacy skills, computers, and software packages appropriate to the workplace.

D4. Work effectively as part of a group in a distance setting where association is undertaken via computer-mediated communication.​

• ​​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.​​
  

​A. Knowledge and understanding

Upon completing this module, student should be able to:

1. Describe the basic principles of computer graphics.
2. Explain the different operations in graphics systems such as transformations, projects, views, texturing, lighting, shading, animation and clipping.
3. Select the suitable hardware and software of a graphics system for a specific application.
4. Explain graphics algorithms.
5. Develop graphics applications in Java.

B. Cognitive skills

Upon completing this module, student should be able to:

1. Evaluate graphics hardware and software.
2. Compare the different computer graphics applications.
3. Select the suitable graphics hardware for different applications.
4. Evaluate 3D modelling techniques.

C. Practical and professional skills

Upon completing this module, student should be able to:

1. Develop graphics applications using advanced APIs
2. Apply computer graphics concepts and techniques to develop graphics and visualization applications
3. Model 3D objects.
   

D. Key transferable skills 

Upon completing this module, student should be able to:

1. Effectively communicate oral and written.
2. Work in a team.
3. ​Effectively manage resources and time.

​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:

1. Consider the ethical issues related to ITC systems.
2. Act ethically while making any profession related decisions.
3. Apply all legal principles to intellectual property and ITC related situation.
4. understand the emerging issues related to ethics in cyberspace
5. Develop a sound methodology in resolving ethical conflicts and crisis.
6. Understand the social and ethical issues in the professional practice of computing and technology and their impact on the society..
7. Look up relevant ethical standards as developed by the ACM.
8. State several examples of important ethical principles as they apply to computer science related situations.
9. 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.
10. Research and write a professional-quality paper about a topic relating to social, legal, and ethical implications of computer science.​​
    
    

​A. Knowledge and understanding

After completing this module, students will be able to:

1. Understand how ITC could raise social issues and ethical dilemmas
2. Understand the historical background of some social, legal, philosophical, political, constitutional and economical issues related to ITC
3.  Describe current social and legal developments related to computers and computer crime
4. Recognize the existence of computer abuse cases , laws pertaining to them
5. Appreciate the value of technology and identify the ethical and moral situations that must be faced and dealt with.
6. Deepen their understanding of technology and its effects on society.​

B. Cognitive skills

After completing this module, students will be able to:

1. Evaluate the legal and professional impact of ITC in real life contexts
2. 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:

1. Effectively identify and analyze professional and legal issues; 
2. Promote an ethics of computing in practice;
3. Resolve dilemmas related to ethical, professional and legal ITC issues​

D. Key transferable skills 

After completing this module, students will be able to:

1. Communicate effectively in writing about ethical, legal and professional issues in the ITC context
2. ​​Become an independent learner.
   

​

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. 

​

​A. Knowledge and understanding

Upon completion of this module the student will: 

A1. Define the aims and motivations for AI.
A2. Discover AI concepts and terms like machine learning, neural networks and deep learning.

A3. Recognize issues and concerns surrounding AI such as ethics and bias, & jobs.

A4. Recite key concepts and methods in evolutionary computation.

B. Cognitive skills 

Upon completion of this module the student will be able to: 

B1. Distinguish the different Cognitive Computing phases

(Perception, Learning, Reasoning)

B2. Associate the different AI primitives to different AI applications.

B3. Select and use appropriate mathematical representations for a range of problem solving systems;

B4. 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:  

C1. Construct different pre-processing primitives for different AI applications

C2. Apply different methods for classification and regression using traditional AI methods

C3. Experiment with different tools for decision support and planning

C4. 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:

D1. Measure the different performance indicators for individual AI systems.

D2. Rank the different AI methods

D3. Adapt individual Method according to the problem in hand.

D4. Assemble different methods for creating appropriate AI pipeline.  ​

​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. 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.

​

​A. Knowledge and understanding

At the end of the module, learners will be expected to:

A1. Identify the basic mechanisms of machine/deep learning techniques, including their appropriate usage, limitations, and alternatives.

A2. Recognize the key elements and tools used to develop machine/deep learning-based systems, together with their strengths and weaknesses.

A3. 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:

B1. Explain the pros, cons, and limitations of machine/deep learning techniques. 

B2. Justify why machine/deep learning tools and techniques are either suitable or not for a particular problem or domain.

B3. Choose appropriate techniques and tools for designing, implementing, and testing machine/deep learning-based systems, and be aware of their limitations.

B4. 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:

C1. Analyse and evaluate problems and plan strategies for their solution using the suitable machine/deep learning techniques if applicable.

C2. Implement a wide range of machine/deep learning techniques within the context of a given task and dataset, using the appropriate tools 

C3. Assess the performance of the adopted machine/deep learning techniques including limits of applicability.

C4. 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:

D1. 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.

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. ​

​

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. 

​

​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  ​

​

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. 

​

​A. Knowledge and understanding

Upon completing this module, learners will be able to:  

​The module aims to:

​​A. Knowledge and understanding

After studying this module, the student will be able to:

1. Provide a solid understanding of how JavaScript is written and the possibilities it offers.
2. Develop the understanding to use JavaScript to improve the user experience.
3. Appreciate the importance of data validation before processing it.
4. Demonstrate how to use AJAX to post data to servers and process the feedback of the server.
5. Construct interactive web applications that integrate client-side and server-side programming using AJAX and PHP.
6. Learn the basics of MySQL and how to create tables to store, update and retrieve data that can be presented to the user using web technologies.
7. Use PHP on the server side to communicate with MySQL and generate dynamic content for the web.
8. Assess basic issues related to web design and how to improve the style of the generated web content.
9. Be able to combine all the technologies presented (JavaScript/AJAX, PHP, MySQL) into a single project that integrates all the components into one fully functional interactive web application.​

B. Cognitive skills

After studying this module, the student will be able to:

1. Evaluate websites based on the technologies they employ.
2. Analyse the performance of web applications.
3. Describe the importance of data validation specifically at the user-interface level of a computer system.
4. Describe the roles of each of the client and the server as used for web applications.
5. Design and build an appropriate system as a solution to data-centric problems.​

C. Practical and professional skills

After studying this module, the student will be able to:

1. Develop robust and compact code that runs reliably in all modern Web browsers.
2. Develop the major components required for building modern web applications.
3. Demonstrate proficiency in applying the acquired programming skills to develop complex systems.
4. Develop simple user interfaces that collect data from the user to be validated and processed by computer systems.​

D. Key transferable skills 

After studying this module, the student will be able to:

1. Find, select and use information from a range of resources to support a specific task.
2. Develop and improve previously learnt programing skills to solve more complex tasks.
3. Plan and produce a modern system to satisfy the user needs whilst making sure to provide good stability and performance.
4. Plan and manage effort and progress whilst undertaking a substantial project.​
   ​
   

​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.
  
  

​​A. Knowledge and understanding

Upon completing this module, students will be able to:

1. Describe the operation of symmetric ciphers
   
2. Define and explain the differences between different encryption algorithms and standards
3. Describe the operation of asymmetric ciphers
4. Analyse and compare the performance of different encryption methods
5. Design and implement simple encryption algorithms
6. Define the most common threats to internet security, explain their operation, and discuss their differences
7.  Describe the protocols and countermeasures used for protecting internet traffic​

B. Cognitive skills

Upon completing this module, students will be able to:

1. Recognise the threats to online security​
2. 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:

1.  Use the studied concepts to analyse and assess the efficiency of different encryption standards
2. Identify the threats to internet security and take appropriate countermeasures ​

D. Key transferable skills 

Upon completing this module, students will be able to:

1. 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
2. Employ your technical writing skills on topics related to cryptography and internet security​
   
   

​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.​

​A. Knowledge and understanding

Upon completing this module, students should be able to:

1. Define information, strategy and customer-facing (user-centred) design theories.
2. Compare the impact of different types of information technologies and systems in the enterprise and competitive environment.
3. Select information systems as a basis for sustainable competitive advantage.
4. Identify the issues that must be addressed in managing information systems projects and processes across various boundaries (organisational, cultural, legal and geographical).
5. 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:

1. Demonstrate a conceptual grasp of information, strategy and user-centred (customer-facing) design theories.
2. Distinguish between different types of information systems and recognise enterprise-wide, innovative methods of reducing costs and improving service through management information systems.
3. 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:

1. Reflect, analyse and interpret information on contemporary information systems management issues.
2. Debate controversial issues relating to information systems deployment in organisations​

D. Key transferable skills 

Upon completing this module, students should be able to:

1. Develop skills to effectively participate in a group.
2. Synthesise data and use application of concepts from other modules.
3. Improve case analysis skills.​​
   
   

​​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.​​ 

​A. Knowledge and understanding

Upon completing this module, students will be able to:

1. Describe the software engineering lifecycle and in particular the role of analysis and design phase in the lifecycle
2. Discuss the different software lifecycle models including (e.g., waterfall, agile)
3. Define the requirements elicitation and structuring
4. 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:

1. Specify, analyse and organise requirements for a software product
2. Model, analyse and validate software requirements using UML and set-theoretic notations
   
3. Apply appropriate UML design patterns and notations to the design of components of a product​

​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:

1. Compute basic statistics of data.
2. Apply nontrivial algorithms to real-world problems.
3. Outline the principles of data compression.
4. Discover different compression methods for text, image, audio, and video data.
5. Extend different compression methods and their applications in different aspects of computing.​
   
   

​A. Knowledge and understanding

Upon completing this module, students will be able to:

1. Develop a well-founded knowledge in the field of study.
2. Relate other disciplines to the field of study.
3. Develop an international perspective on the field of study.​​

B. Cognitive skills

Upon completing this module, students will be able to: 

1. Analyse and explore information and ideas and to convey those ideas clearly and fluently, in both written and spoken forms.     
2. ​Experiment effectively with others in order to work towards a common outcome.       
3. Select and make use of appropriate level, style and means of communication.           
4. Experiment appropriately with information and communication technologies.

C. Practical and professional skills

Upon completing this module, students will be able to:

1. Apply different compression methods for text, image, audio, and video data
2. Examine nontrivial algorithms to real-world problems
3. 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:

1. Analyse and conclude independently.    
2. Develop ideas and adapt innovatively to changing environments.
3.  Identify problems constructs solutions, innovate and improve current practices​​
   
   

• 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.​
  
  

​A. Knowledge and understanding

After completing this module, students will be able to:

1.  Identify and learn what operating systems are, what they do.
2. Describe How the Operating System are designed and constructed.
3.  Show what the common features of an operating system are.
4. 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:

1. Analyze the operating system design, constructor, building, internal   works, usage variety, operations, and functions.
2.  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:

1. Implement the design simple of Operating System structures.
2. 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:

1. 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;
2. Identify and distinguish between number of concepts that inform the Operating system structure components.
3.  Communicate appropriately with your tutor and other students using email, online conferences and forums;
4.  Locate information on a given subject from the World Wide Web.​​
   
   

​

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.

​

​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

B4. 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  C4. 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. ​

​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.

​

​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. ​

​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.

​​​A. Knowledge and understanding

Upon completing this course, students will be able to:

1. Discuss and describe the similarities and differences between at least two different database models, and how they are used to manage data collections.
2. Identify and explain the legal issues surrounding data collection, usage and retention.
3. Explain the stages and process of database design​

B. Cognitive skills

Upon completing this course, students will be able to:

1. Select an appropriate database model for a data collection.
2. Use data to answer a practical question.
3. Analyse a simple scenario to produce a conceptual model.​

C. Practical and professional skills

Upon completing this course, students will be able to:

1. Use a query language to extract information from a database.
2. Use a statistical package to explore a data set
3. Present an analysis of a dataset to a variety of audiences.​

D. Key transferable skills 

Upon completing this course, students will be able to:

1. Write a report detailing a systematic approach to analysing a data set.
2. Gain Active listening to the stakeholders regarding their data analysis needs

Communicate the results of data analysis to stakeholders at appropriate level​

​

The main aim of this module is to provide a solid learning experience in data management and analysis and to produce learners who are familiar with data and data-related issues. These include but are not limited to data collection and ethical considerations, as well as general and data analysis.  The module also emphasizes communicating the results of data analyses to a general audience.  

Upon completion, learners of this module will be able to:

• Perform basic data analysis operations on data files. 
• Explain the basic concepts of data management such as data architectures and data access (CRUD), data integrity and transaction management (ACID).
• Demonstrate the legal and ethical issues involved in managing the data. 
• Apply exploratory techniques to visualize the data and carry out required data analytics in real world data sets.

Effectively communicate the findings of data analysis.

​

​

A. Knowledge and understanding

At the end of the module, learners will be expected to:

Upon completing this course, students will be able to:

A1. Discuss and describe the similarities and differences between at least two different database models, and how they are used to manage data collections.

A2. Identify and explain the legal issues surrounding data collection, usage and retention.

A3. Explain the stages and process of database design techniques for modelling two or more dependent variables

B. Cognitive skills 

At the end of the module learners will be expected to:

B1. Select an appropriate database model for a data collection 

B2. Use data to answer a practical question. 

B. Cognitive skills 

B3. Analyse a simple scenario to produce a conceptual model

C. Practical and professional skills​

At the end of the module, learners will be expected to:

C1. Use a query language to extract information from a database.

C2. Use a statistical package to explore a data set

C3. Present an analysis of a dataset to a variety of audiences.

D Key transferable skills  

At the end of the module, learners will be expected to:

D1. Write a report detailing a systematic approach to analysing a data set.

D2. Gain Active listening to the stakeholders regarding their data analysis needs ​

• ​​Provide knowledge to students about foundations of the internet and the mechanisms of web services and applications provisioning.
• Teach students about the cloud model and the associated resources of a cloud infrastructure.
• Impart knowledge to students about the business case for cloud and the different ways to distributing the cloud infrastructure.
• Create awareness in students concerning the various challenges involved in mobile application development and the combined use of mobile technology and cloud technology.
• Enable students to develop and deploy web services to an application server and perform exploration of toolkits for developing mobile applications.
  
  

​A. Knowledge and understanding

Knowledge and understanding of:

1. The different approaches to providing network applications and services including the architectures and protocols involved.
   
2. The security and legal issues related to the adoption and use of cloud services, data and applications.
3. The risks and benefits of adopting cloud and mobile technology for a range of business models.

• ​​​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.​​
  

​A. Knowledge and understanding

Upon completing this module, students will be able to:

1. 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
2. Acquire the methods and tools used to develop a range of software systems
3. 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:​

1. Explain advanced software development concepts and apply them to practical problems, including in an extended piece of work
2. Analyse problems, and design and evaluate realistic solutions to them
3. Compare and contrast a variety of computing methods and tools, identifying the best choices to apply to specific problems
4. 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:

1. Work independently, planning, monitoring, reflecting on and improving your own learning and working practices
2. Work in a group, communicating computing ideas effectively in speech and in writing
3. 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
4. Use numerical and analytical techniques confidently to solve complex problems.

D. Key transferable skills 

Upon completing this module, students will be able to:

1. Design, program, test and evaluate software systems
2.  Use modern software tools, both within and outside your workplace
3. Identify and handle the ethical, social and legal issues that may arise during software development and use.​

​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

​A. Knowledge and understanding

Upon completing this course, students will be able to:

1. Have a sound grasp of the essential vocabulary of communications technology, be able to deploy it appropriately, and be able to explain them
2. 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.
3. 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:

1. Use relevant data related to a communication system to model its behaviour and assess performance and resource requirements.
2. 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:

1. Write a short report or essay discussing applications of communications technology.
2. Be able to use third-party material critically.
3. Be able to incorporate copyrighted material appropriately​

D Key transferable skills 

Upon completing this course, students will be able to:

1. Assess and synthesise information from a range of sources in order to offer an informed judgement on applications of communication technology.
2. Develop your own learning skills in topics related to communications technology.
3. ​Be able to learn independently from third-party materials, in order to keep up to date in communications technology.​

​The student will learn the value of moving away from his/her desk and 'stepping out into the world' to involve potential users in his/her early design ideas for interactive products. It is all too easy to assume that other people think, feel and behave in the same way as the designer or developer, do. It is essential to take into account the diversity among users and their different perspectives and getting their feedback will help to avoid any errors and misunderstandings that may not have thought of. Involving users in the process is vital to creating great products and makes good business sense.

Through hands-on activities the student will work through the design process on a topic chosen by himself/herself (with tutor's guidance). The student will develop skills that will be important to him/her in a variety of employment settings – whether working as a developer as part of a large software development team, as a partner in a small start-up, or in some other role involved in the managing of, or decision making around interactive products that will be used by people

​A. Knowledge and understanding

After studying the module students will have knowledge and understanding of:

1. What interaction design is about and the importance of user centred design and methods that take into account activities and tasks, context of use and user experiences;
2.  The sensory, cognitive and physical capabilities of users and how these inform the design of interactive products;
3.  The process of interaction design including requirements elicitation, prototyping, evaluation and the need for iteration.
   

B. Cognitive skills

After studying the module students will be able to:

1.  Analyse and critique the design of interactive products;
2.  Select, adapt and apply suitable interaction design approaches and techniques towards the design of an interactive product;
3.  Construct prototypes for diverse purposes using appropriate materials or tools;
4.  Analyse and critique how interaction design activities have been conducted.​

C. Practical and professional skills

After studying the module students will be able to:

1. Define a suitable programme of user involvement that treats users ethically and fairly.