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لتحقيق تصميم وإنتاج القصص المصورة​

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​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
  

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​​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.
   

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• اكتساب النظرية اللازمة لممارسة التصميم
• التعرف على عناصر ومبادئ التصميم
• التعرف على التصميم وتقديره في الطبيعة وكل الخلق
• اكتساب المصطلحات الأساسية لمهنة التصميم
• تطوير فهم "لماذا تفعل ذلك" وكذلك "كيف تفعل ذلك"
• تقدير الأنماط والسلوكيات، الماضية والحالية، في التصميم ومعرفة ما يجعلها فريدة
• اكتساب الكفاءة الفنية في استخدام أدوات ومواد التصميم
• تطبيق عناصر ومبادئ التصميم على مشاكل معينة واستغلال استخدامها لإلهامك الإبداعي الخاص.​
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تهدف الدورة إلى​

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​​تهدف الدورة إلى تزويد الطلاب بالمفاهيم الأساسية والنظرة العامة لإنتاج الوسائط، بما في ذلك عمليات ما قبل الإنتاج (الميزانية وكتابة السيناريو)، والإنتاج (الإضاءة والتصوير وتسجيل الصوت) وما بعد الإنتاج (التحرير المرئي/الصوتي، والتأليف والمؤثرات الخاصة). توفر هذه الدورة فهمًا للعمليات الشاملة في صناعة إنتاج الوسائط؛ وتسمح للطلاب بتطبيق مهارات الإخراج والإنتاج لإنتاج فيديو رقمي قصير

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• البدء في معالجة الأفكار الإبداعية من خلال الانتهاء من القرارات.
• إظهار الوعي والفهم لإدراك الصوت، والصوت المجسم، وتنسيق الصوت.
• أن يكون لديه معرفة بالتركيبات الصوتية الحرفية وغير الحرفية، والتوجيه الداخلي والخارجي للصوت، وعناصر الصوت، والصوت والضوضاء، والعوامل الجمالية فيما يتعلق بالسياق.
• أن يكون لديه معرفة جيدة بالاستخدامات المهنية لمعدات الصوت لإنتاج الصوت للوسائط المختلطة.
• تحديد المصادر المناسبة للمساعدة والتوجيه لبناء المهارات اللازمة للتعلم الذاتي.
• التفكير في مهارات الفرد وتطوير خطة مستدامة لمواصلة التطوير الوظيفي بعد التخرج.
  

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​The module aims to:

​A. Knowledge and understanding

• 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

• ​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.​​
  

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​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.​
   

​M811-part A aims to provide the skills and knowledge necessary to develop and run a practical information security management system, in accordance with current international standards. In particular, it aims to:

• provide student with an understanding of current issues in information security and its management;
  
• Teach student a variety of techniques for information security management, including risk assessment and management, and to provide practice in their use;
  
• Provide student with sufficient knowledge to be able to choose between different development techniques, tools and process models for a given information security context;
  
• Make student aware of the policy and technology trade-offs involved in developing information security management systems of sufficient quality;
  
• Give student an understanding of the importance to information security management of risk assessment and management, impact assessment, human factors, and legal and ethical issues.
  
• Equip student with the skills and tools necessary to audit his/her home computer and/or network for information security risk.
  

Additionally, M811 aims to

• provide student with an understanding of the information security risks that he/she faces as an individual;
  
• provide student with sufficient knowledge to be able to manage those risks to be less threatening
  
• provide student with an ability to evaluate current practice within the discipline of information security against legal, regulatory and commercial expectations;
  
• provide student with an understanding of the workings of the profession in terms of progression through professional qualifications;
  
•  provide student with the research skills to stay at the leading edge of information security

​A. Knowledge and understanding

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

1. Define the principles of information security in various contexts
2. Describe an information security management system appropriate to a particular organisational context
3. Identify the strengths and weaknesses of different types of information security mechanisms in various contexts.
4. Identify the role of technology in Information Security in various contexts and be able to assess, using technology, the deficiencies of a simple information system and design solutions for its protection.
5. Describe the management roles in defining, enforcing and validating information security​
   

B. Cognitive skills

1. Critically evaluate the information security management system of an organisation.
   
2. Integrate knowledge and skills from a range of approaches to information security and its management​
   

​M811-part B aims to provide the skills and knowledge necessary to develop and run a practical information security management system, in accordance with current international standards. In particular, it aims to:

• Provide student with an understanding of current issues in information security and its management;
  
• Teach student a variety of techniques for information security management, including risk assessment and management, and to provide practice in their use;
  
• Provide student with sufficient knowledge to be able to choose between different development techniques, tools and process models for a given information security context;
  
• Make student aware of the policy and technology trade-offs involved in developing information security management systems of sufficient quality;
  
• Give student an understanding of the importance to information security management of risk assessment and management, impact assessment, human factors, and legal and ethical issues.
  
• Equip student with the skills and tools necessary to audit his/her home computer and/or network for information security risk.
  

Additionally, M811 aims to:

• provide student with an understanding of the information security risks that he/she faces as an individual;
  
• provide student with sufficient knowledge to be able to manage those risks to be less threatening
  
• provide student with an ability to evaluate current practice within the discipline of information security against legal, regulatory and commercial expectations;
  
• provide student with an understanding of the workings of the profession in terms of progression through professional qualifications;
  
• provide student with the research skills to stay at the leading edge of information security​​​
  

​A. Knowledge and understanding

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

1.  Define the principles of information security in various contexts
2. Describe an information security management system appropriate to a particular organisational context
3. Describe the provenance of threats, their impact and outline appropriate countermeasures to protect information assets against threats
4. Identify the strengths and weaknesses of different types of information security mechanisms in various contexts.
5. Identify the role of technology in Information Security in various contexts and be able to assess, using technology, the deficiencies of a simple information system and design solutions for its protection.
6. Describe the management roles in defining, enforcing and validating information security
   

B. Cognitive skills

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

1. Associate a fit-for-purpose information security management system to the management of information security risks
   
2. Explain how to be systematic in the choice of controls that treat specific risks, and how to produce the documentation required by the relevant standards
   
3. Integrate knowledge and skills from a range of approaches to information security and its management
   

C. Practical and professional skills

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

1. Apply a fit-for-purpose information security management system to the management of information security risks
   
2. Show how to be systematic in the choice of controls that treat specific risks, and how to produce the documentation required by the relevant standards
   
3. Support management roles in defining, enforcing and validating information security​
   

D. Key transferable skills 

1. Discuss competently a variety of topics related to information security.
   
2. Provide appropriate, effective documentation throughout the info sec life-cycle.
   
3. Critically evaluate information about the development of info sec management systems from a variety of sources.​​

• ​​provide students with a broad and practical introduction to the fundamentals of digital forensics, including how general forensic principles and techniques apply to digital investigations
  
• provide students with sufficient knowledge to be able to conduct digital investigation procedures, and skills including evidence handling, note taking and report writing
• provide students with an understanding of how to keep up to date with changing technologies, laws and regulations in digital forensics
• guide students through English and Welsh civil and criminal laws particularly relevant to digital forensic investigations and teach him/her how to find the law in other jurisdictions (national and international)
• present students with the principles of legal report writing
• provide students with an opportunity to answer questions from reviewers of the legal report orally
• Equip students with resources to access templates and documents fro​m professional bodies and industrial practices, and stay at the leading edge of digital forensics.​

​A. Knowledge and understanding

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

1. Define the role of digital forensics within the larger discipline of forensic science and the appropriate use of scientific methods.
2. Identify the range of applications of digital forensics across ordinary organizations from disciplinary hearings and employment tribunals to civil and even criminal cases. 
3. Identify and explain relevant International legislation and understand how to find relevant legislation.​
   

B. Cognitive skills

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

1. Select and use appropriate concepts, methods, tools and techniques for a given digital forensics event and analyze the results.
   
2. Analyze a given forensic investigation scenario to identify risks and relevant legislation
   
3. Detect how given forensic could affect an organization.
   

C. Practical and professional skills

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

1. Demonstrate awareness and understanding of prevailing standards applicable to digital evidence (e.g. ACPO Good Practice Guide for Computer Based Electronic Evidence, Forensic Science Regulator's Standards, and ISO standards) and be able to demonstrate their application in a given context.
   
2. Explain the relevance of digital forensics within both society and an organization as well as the legal and ethical responsibilities of the digital forensic professional.
   
3. Develop a reflective approach to learning.
   

D. Key transferable skills 

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

1. Demonstrate good oral and written communication skills appropriate for reporting and defending digital forensics results to both legal and business audiences.
   
2. Reporting and defending digital forensics results to both legal and business audiences using evidence instead of subjective opinions, even in the presence of incomplete information.   ​

• ​Provide students with a broad and practical introduction to the fundamentals of digital forensics, including how general forensic principles and techniques apply to digital investigations
  
• Provide students with sufficient knowledge to be able to conduct digital investigation procedures, and skills including evidence handling, note taking and report writing
• Provide students with an understanding of how to keep up to date with changing technologies, laws and regulations in digital forensics
• Guide students through English and Welsh civil and criminal laws particularly relevant to digital forensic investigations and teach them how to find the law in other jurisdictions (national and international)
• Present students with the principles of legal report writing
• Provide students with an opportunity to answer questions from reviewers of the legal report orally
• Equip students with resources to access templates and documents from professional bodies and industrial practices, and stay at the leading edge of digital forensics.​

​A. Knowledge and understanding

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

1. Describe how to collect and safely store digital forensic evidence and ensure its integrity to a criminal evidence standard using appropriate concepts, tools, techniques and methods for a given situation.
2. Define how operating system, application software and user controlled behaviours as well as the actions of other investigators can affect the results of an investigation and how these effects can be minimised or avoided. 
3. Describe the storage formats and basic physical and logical characteristics of modern computing hardware, software and networks sufficient to identify where forensic artefacts may be found. Identify the rights and responsibilities of all of the parties in a digital forensics investigation, the range of commercial and open source digital forensic tools available and how to find and evaluate new tools.​
   

B. Cognitive skills

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

1. Critically evaluate digital forensic tools and describe their applicability and limitations.
   
2. Assess the risks of new digital technologies and describe the attributes of a tool required to complete a forensic examination on it.
   

C. Practical and professional skills

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

1. Apply the development in new digital forensics technology including the identification of limitations and risks in applying the new technique and the associated new legal issues with respect to the cultural and ethnical impact and societal/business needs.
   
2. Develop a reflective approach to learning.
   

D. Key transferable skills 

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

1. Demonstrate good oral and written communication skills appropriate for reporting and defending digital forensics results to both legal and business audiences.
   
2. Reporting and defending digital forensics results to both legal and business audiences using evidence instead of subjective opinions, even in the presence of incomplete information.
   
3. Demonstrate the use of digital forensic imaging and analysis tools and scientific methods as part of a larger investigation.
   
4. Demonstrate working with others to collect and analyze digital forensic data.​​

​M813-Part A is the first part of the M813 course, a core module of the MSc award in Computing/ software development.

M813 aims to provide the skills and knowledge necessary to develop software in accordance with current professional practice, approaches and techniques.

In particular, it aims to:

• teach students a variety of fundamental techniques for software development across the software life-cycle, and to provide practice in the use of these techniques
• give students enough knowledge to be able to choose between different development techniques appropriate for a software development context
• make students aware of design and technology trade-offs involved in developing enterprise software systems
• enable students to evaluate current software development practices
• give students an understanding of current and emerging issues in software development
• give students the research skills needed to stay at the leading edge of software development.

This course is a pre-requisite to the M813-part B where the focus is on the testing, software architectures and system integration.

​A. Knowledge and understanding

At the end of the module, learners will be expected to have the knowledge and understanding of the following:

1. Identify the scope and domain of business problems, including the importance of stakeholders.
   
2. Define the essential principles and practice associated with requirements and domain analysis.
   
3. Describe the techniques and technologies of using systems integration to construct software.
   
4. ​Identify the concepts and techniques associated with software validation, verification and testing.
   
5. Describe the important crosscutting concepts such as modelling and reuse. 
   

B. Cognitive skills

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

1. Analyse a business problem and identify the requirements for the computer software that could be part of the solution to the problem.
   
2. Apply object-oriented analysis and design techniques to given requirements with an appropriate use of UML.
   
3. Develop strategies for the validation and verification of software systems.
   
4. Evaluate different approaches to software development and justify a chosen approach.​
   

C. Practical and professional skills

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

1. Apply the principles, concepts and techniques taught in the module in the development of software in the workplace.
   
2. Extend the concepts and techniques taught in the module to more open-ended software development problems.
   
3. Situate novel software development techniques within established software development practices.
   
4. Develop a reflective approach to learning in the context of professional practice.
   

D. Key transferable skills 

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

1. Discuss competently a variety of topics related to software development technologies and practice.
   
2. Provide appropriate, effective documentation throughout software development.
   
3. Critically evaluate information about the development of software systems from a variety of sources​

​M813-Part B is the second part of the M813 course, a core module of the MSc award in Computing / software development.

M813 aims to provide the skills and knowledge necessary to develop software in accordance with current professional practice, approaches and techniques.

In particular, it aims to:

• teach students a variety of fundamental techniques for software development across the software life-cycle, and to provide practice in the use of these techniques
• give students enough knowledge to be able to choose between different development techniques appropriate for a software development context
• make students aware of design and technology trade-offs involved in developing enterprise software systems
• enable students to evaluate current software development practices
• give students an understanding of current and emerging issues in software development
• give students the research skills needed to stay at the leading edge of software development.

​A. Knowledge and understanding

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

1. Identify alternative methods of software design and construction..
   
2. Define principles and techniques of object-oriented analysis, design and construction
   
3. Identify techniques and technologies of using systems integration to construct software.
   
4. Define the important crosscutting concepts such as modelling and reuse. 
   

B. Cognitive skills

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

1. Analyse a business problem and identify the requirements for the computer software that could be part of the solution to the problem.
   
2. Develop strategies for the validation and verification of software systems.
   
3. Evaluate different approaches to software development and justify a chosen approach.
   
4. Apply software development techniques and technologies to solve given business problems.​
   

C. Practical and professional skills

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

1. Extend the concepts and techniques taught in the module to more open-ended software development problems.
   
2. Situate novel software development techniques within established software development practices.
   
3. Demonstrate awareness of a variety of software development tools used in industry and their intended use.
   
4. Develop a reflective approach to learning in the context of professional practice.
   

D. Key transferable skills 

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

1. Discuss competently a variety of topics related to software development technologies and practice.
   
2. Provide appropriate, effective documentation throughout software development.
   
3. Critically evaluate information about the development of software systems from a variety of sources.​​

​M814-Part A is the first part of the M814 course, a core module of the MSc award in Computing/ software development. M813 aims to provide students with a holistic perspective of technical and non-technical factors involved in developing useful and safe software systems in complex social and organisational contexts. In particular it aims to:

• Make students aware of current issues, key concepts, terminology and techniques in software engineering
• Enable students to apply, evaluate and compare key principles, concepts and techniques in software engineering
• Enable students to discuss competently a variety of topics related to software engineering
• provide a system perspective to students by examining software's role in organizations from human, social, knowledge, business, and domain problem (requirements) perspectives. 
• provide students an in-depth exploration of the requirements engineering process
• give students an understanding of current and emerging issues in software engineering
• give student the research skills needed to stay at the leading edge of software engineering.​

​A. Knowledge and understanding

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

1. Define advanced concepts and techniques for requirements engineering, software maintenance and software configuration management.
   
2. Identify different processes for organising software engineering activities.
   
3. Describe Social, economic, legal and regulatory context in which software is developed and deployed.
   
4. Identify issues relating to ethical and professional conduct for software engineers.
   
5. Define the basic concepts and techniques of software project management.
   
6. Define the principles of managing risk in software engineering projects.
   
7. Identify the software engineering standards and related frameworks, including those for quality management.
   

B. Cognitive skills

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

1. Compare and evaluate different software engineering methods and approaches.
   
2. Apply chosen software engineering methods and approaches to new situations.
   
3. Choose and justify an appropriate strategy for organising software engineering activities.
   

C. Practical and professional skills

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

1. Critically evaluate software engineering and project management practices, justify and apply chosen techniques the development of industrial software.
   
2. Understand the applicability of professional codes of practice and conduct to identify and analyse ethical issues that arise in software engineering practice.
   
3. Demonstrate an awareness of key regulations and laws that are relevant to software development and use.
   
4. Appraise new developments in software technologies and software engineering practice, situating them within established software development practices.
   
5. Demonstrate awareness of a variety of software development tools used in industry and their intended use.
   
6. Develop a reflective approach to learning.
   

D. Key transferable skills 

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

1. Formulate solutions to novel problems using software engineering tools and techniques.
   
2. Communicate ideas and solutions in writing, using standard conventions of software engineering.
   
3. Critically appraise information on software engineering that is expressed in different styles, including new developments that are described in research papers.​

​M814-Part B is the second part of the M814 course, a core module of the MSc award in Computing/ software development. M813 aims to provide students with a holistic perspective of technical and non-technical factors involved in developing useful and safe software systems in complex social and organisational contexts. In particular it aims to:

• Make students aware of current issues, key concepts, terminology and techniques in software engineering
• Enable students to apply, evaluate and compare key principles, concepts and techniques in software engineering
• Enable students to discuss competently a variety of topics related to software engineering
• provide a system perspective to students by examining software's role in organizations from human, social, knowledge, business, and domain problem (requirements) perspectives. 
• provide students an in-depth exploration of the requirements engineering process
• give students an understanding of current and emerging issues in software engineering
• give stu​dent the research skills needed to stay at the leading edge of software engineering.​

​A. Knowledge and understanding

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

1. Define advanced concepts and techniques for requirements engineering, software maintenance and software configuration management.
   
2. Identify different processes for organising software engineering activities.
   
3. Describe Social, economic, legal and regulatory context in which software is developed and deployed.
   
4. Identify issues relating to ethical and professional conduct for software engineers.
   
5. Describe basic concepts and techniques of software project management.
   
6. Define principles of managing risk in software engineering projects.
   
7. Identify software engineering standards and related frameworks, including those for quality management.
   

B. Cognitive skills

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

1. Compare and evaluate different software engineering methods and approaches.
   
2. Apply chosen software engineering methods and approaches to new situations.
   
3. Choose and justify an appropriate strategy for organising software engineering activities.
   
4. Apply a variety of techniques for requirements elicitation to new situations, synthesising and reconciling the requirements of different stakeholders​
   

C. Practical and professional skills

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

1. Critically evaluate software engineering and project management practices, justify and apply chosen techniques the development of industrial software.
   
2. Understand the applicability of professional codes of practice and conduct to identify and analyse ethical issues that arise in software engineering practice.
   
3. Demonstrate an awareness of key regulations and laws that are relevant to software development and use.
   
4. Appraise new developments in software technologies and software engineering practice, situating them within established software development practices.
   
5. Demonstrate awareness of a variety of software development tools used in industry and their intended use.
   
6. Develop a reflective approach to learning.
   

D. Key transferable skills 

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

1. Formulate solutions to novel problems using software engineering tools and techniques.
   
2. Communicate ideas and solutions in writing, using standard conventions of software engineering.
   
3. Critically appraise information on software engineering that is expressed in different styles, including new developments that are described in research papers.
   
4. Work Collaboratively on different software engineering activities ​

This main aim of this module is to introduce students to the basic concepts of Project Management methods and techniques across the standard and extended lifecycle. Students will be taught about various project concepts and definitions. Emphasis will be placed on

• Finding and using information from a range of sources, selecting those that are appropriate for the context;
• Reviewing and learning from experience of self and others;
• Skills for effective communication with stakeholders, together with communication and collaboration within the project team.
  

​A. Knowledge and understanding

1. Define the basic concepts related to project management, project proposals and frameworks.
   
2. Describe the concepts and theories associated with the lifecycle of projects, including initiation, planning, requirements and project administration.
   
3. Describe the various techniques in standard project management methodologies, such as Prince2;  International Standards relating to Project Management and Methods and techniques for project management as articulated in Body of  Knowledge of national and international professional bodies
   
4. Describe in detail the tendering and contracting.​
   

​This main aim of this module is to develop effective professional project management practitioners through rigorous teaching of Project Management methods and techniques across the standard and extended lifecycle. Students will be taught how to analyse data and situations, select appropriate techniques and apply them in a technological project management context. Emphasis will be placed on

• Finding and using information from a range of sources, selecting those that are appropriate for the context;
• Reviewing and learning from experience of self and others;
• Skills for effective communication with stakeholders, together with communication and collaboration within the project team.
  

​A. Knowledge and understanding

1. Define the skills and techniques required by project management professionals working on technological projects.
   
2. Describe concepts and techniques associated with project execution, monitoring and control.
   
3. Describe in detail the project closure, review and project handover.
   

M816 (A & B) aims to provide the skills and knowledge necessary to develop data management policies, procedures and systems in accordance with current professional practice, approaches and techniques.

In particular, it aims to:

• teach students a variety of principles, practices and technologies for data management across the data life-cycle
• give students the ability to evaluate current practices in data management
• give student an understanding of current and emerging issues in data management
• give students the research skills you need to stay at the leading edge of data management​

​A. Knowledge and understanding

1. Data management principles, practices and technologies required to develop policies, procedures and systems that control, protect, deliver and enhance the value of an organisation's data asset. 
2. Concepts and techniques associated with data, database, repository and business intelligence administration.
3. Issues relating to ethical and professional conduct for data administrators.
4. Concepts and techniques associated with data integrity, security, quality and recovery.
5. Issues and technologies associated with the use of databases to maintain persistent data in software systems including web applications.​
   

B. Cognitive skills

1. Analyse an organisation's data asset, and develop policies, procedures and systems that control, protect, deliver and enhance the value of the data asset.
   
2. Apply techniques associated with data, database, repository and business intelligence admin​istration.​
   
3. Choose and justify appropriate strategies for data integrity, security, quality and recovery.
   
4. Evaluate different approaches to using databases to maintain persistent data in software systems including web applications.
   
5. Choose and justify appropriate techniques and technologies to develop database​
   

D. Key transferable skills 

1. Discuss competently a variety of topics related to data management policies, procedures and technologies.
2. Critically evaluate information about data management from a variety of sources.
3. Communicate effectively in writing about approaches to managing data.​​

​M816 (A & B) aims to provide the skills and knowledge necessary to develop data management policies, procedures and systems in accordance with current professional practice, approaches and techniques.

In particular, it aims to:

• teach students a variety of principles, practices and technologies for data management across the data life-cycle
• give students the ability to evaluate current practices in data management
• give student an understanding of current and emerging issues in data management
• give students the research skills you need to stay at the leading edge of data management​
  

​A. Knowledge and understanding

1. Concepts and techniques associated with data integrity, security, quality and recovery.
2. Issues relating to distributed and cloud databases.
3. Concepts and techniques associated with data warehousing: data extraction, change detection and propagation, data cleaning, data integration, and view selection, maintenance and use.
4. Principle data mining techniques and their application.
5. Issues and technologies associated with 'Big data'.
   

B. Cognitive skills

1. Analyse an organisation's data asset, and develop policies, procedures and systems that control, protect, deliver and enhance the value of the data asset.
2. Apply techniques associated with data, database, repository and business intelligence administration.
3. Choose and justify appropriate strategies for data integrity, security, quality and recovery.
4. Evaluate different approaches to using databases to maintain persistent data in software systems including web applications.
5. Choose and justify appropriate techniques and technologies to develop database and data warehouse systems.​
   

C. Practical and professional skills

1. Apply the data management principles, practices and technologies taught in the module to develop policies, procedures and systems for managing data resources in the workplace.
2. Practise basic data, database, repository and business intelligence administration skills in the workplace.
3. Critically evaluate developments in data management practices and technologies.
4. Develop a reflective approach to learning.
   

D. Key transferable skills 

1. Discuss competently a variety of topics related to data management policies, procedures and technologies.
2. Critically evaluate information about data management from a variety of sources.
3. Communicate effectively in writing about approaches to managing data.​

• ​​To acquaint students with the concept of transparent persistence and the use of persistence frameworks.
  
• To provide students with an understanding of how the services provided by DBMSs are made available through APIs and persistence frameworks.
  
• To acquaint students with the need for object-relational mapping, how it is achieved, and the criteria to select the appropriate approach to use in a particular situation.
  
• To acquaint students with how SQL supports Java technologies.
  
• To acquaint students with web application frameworks.
  

After completing the course, the student will be able to:

• Explain the concept of transparent persistence and the use of persistence frameworks.
• Describe how the services provided by DBMSs are made available through APIs and persistence frameworks.
• Explain the need for object-relational mapping, describe how it is achieved, and select the appropriate approach to use in a particular situation.
• Apply design patterns and persistence frameworks during the development of a software system.
• Apply the principles, concepts and techniques of the course in the use of database APIs and persistence frameworks to manage shared persistent data in software systems in the workplace.
  

​A. Knowledge and understanding

Students will be able to:

1. Describe how relational databases are employed to maintain persistent data in software systems including web applications.
   
2. Demonstrate a comprehensive understanding of transparent persistence and the use of persistence frameworks such as those provided by Java EE and .NET.
   
3. Describe how DBMS services are made available through persistence frameworks via APIs such as ODBC and JDBC.
   
4. Explain the need for object-relational mapping, describe how it is achieved, and select the appropriate approach to use in a particular situation.​
   

B. Cognitive skills

Students will be able to:

1. Analyse the requirements for the management of shared persistent data in software systems.
   
2. Apply design patterns and persistence frameworks during the development of a software system.
   

C. Practical and professional skills

Students will be able to:

1. Apply the principles, concepts and techniques of the course in the use of database APIs and persistence frameworks to manage shared persistent data in software systems in the workplace. 
   

D. Key transferable skills 

After completing the module, you should be able to:

1. learn through the use of online resources – articles, journal papers and books;
2. critically evaluate information from a variety of sources on the management of shared persistent data in software systems;
3. communicate effectively in writing about approaches to managing shared persistent data in software systems.​​

Having studied this course you will:

• Understand the basic principles of nature inspired AI algorithms. 
  
• Deeply understand the concepts of populations, scoring and selections.
  
• Develop deep understanding of Evolutionary and Genetic algorithms.
  
• Deeply understand Particle Swarm Optimisation and Ant colony optimisation.
  
• Develop understanding of Cellular Automata, Modelling and Data Science.​
  

​A. Knowledge and understanding

1. Describe the principles and techniques of Artificial Intelligence.
   
2. Identify the various AI algorithms and their applications in intelligent software development.
   
3.  Identify the nature inspired AI algorithms and techniques.
   
4. The current research problems and cutting edge developments of artificial intelligence areas.​
   

B. Cognitive skills

1.  Integrate knowledge and skills from different AI techniques into coherent whole, making the appropriate abstractions.
   
2. Critically evaluate a range of possible options or solutions using appropriate proven methods.
   
3. Demonstrate competence, creativity and innovation in solving unfamiliar problems
   
4.  Deal with complex intelligent algorithms design issues in the absence of complete data
   
5. Demonstrate self-direction and originality in tackling and solving research problems related to artificial intelligence.
   
6. Critically evaluate and reflect upon own work to technical and non-technical audiences.​
   

C. Practical and professional skills

1. Select and apply relevant knowledge and skills to solve real world problems by implementing selected AI and machine learning algorithms.
   
2. Identify and make effective and systematic use of a range of suitable techniques for developing solutions to complex data and analytical problems
   
3. Create relevant software solutions for computational intelligence methods applicable to real world problems demonstrating business aptitude, curiosity and entrepreneurship.​
   

D. Key transferable skills

1. Retrieve and manipulate information
   
2.  Communicate clearly knowledge, ideas, and conclusions about intelligent systems using appropriate media, for specialist and non-specialist audiences.
   
3. Develop problem-solving skills and apply them independently to professional or equivalent level tasks/projects/functions.​​

• ​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 aims of the course in context are:

• Provide basic understanding of graphics software literacy.
• Gain a fundamental knowledge of Adobe Photoshop, Adobe Illustrator and Adobe Indesign software.
• Learn the difference between vector and raster design.
• Give exposure to digital media in relation to print design.
• Enrich students' analytical thinking and design problem solving capacities through digital media.

​A. Knowledge and understanding

On completion of the course students will be able to:

1. Provide basic understanding of graphics software literacy.
   
2. Give students exposure to digital media in relation to various print design applications.
   
3. Learn the difference between vector and raster design.
   
4. Gain a fundamental knowledge of Adobe Photoshop, Adobe Illustrator and Adobe Indesign software.​
   

​This course provides a thorough overview of the interface, tools, features, and production flow for using Premiere Pro. The course is an ideal combination of instructor-led demonstration and hands-on practice for getting to know this revolutionary nonlinear video-editing application.

The course focuses on the basic editing functions while familiarizing the students with the user interface. It also allows them to use Premiere Pro's powerful real-time video and audio editing tools to give them precise control over virtually every aspect of the production.

The second part of the course is full hands-on practice of Adobe after effects which would allow the students to deliver cinematic, visual effects and motion graphics faster than ever before with new Global Performance Cache, extend their creativity with built-in text and shape extrusion, new mask feathering options, and get into motion graphics.

​A. Knowledge and understanding

On completion of the course students will be able to:

1. Be familiar with the standard digital video workflow
   
2. Enhance the workflow with high-level features
   
3. Incorporate Adobe® Creative Cloud into the post production workflow
   
4. Understand the Adobe Creative Cloud workflow
   
5. Have a good understanding of the Nonlinear editing workflow in Premiere Pro CC
   
6. Be familiar with the interface, tools, features, and production flow for Premiere Pro CC and all other production applications from Adobe.
   
7. Know a powerful real-time video and audio editing tools that gives precise control over virtually every aspect of any production.
   
8. Freely combine any type of video media, from video shot on a phone to raw 5K.
   
9. Perform an advanced editing techniques
   
10. Add video effects and transitions to the production.
    
11. Have a good understanding of color grading and color correction with adobe premiere pro CC.
    
12. Have a good understanding and practice of the compositing techniques
    
13. Know exporting techniques ​
    

B. Cognitive skills

1. Creating a storyboard (i.e. a visual map for your digital video project).
   
2. Importing multimedia elements into a digital video project.
   
3. Adding multimedia elements to the timeline.
   
4. Splitting/cutting video clips.
   
5. Extending frame rate duration of video/picture portions.
   
6. Combining/joining different video clips.
   
7. Synchronizing audio clips with a recorded video lesson.
   
8. Changing videos appearance using video effects and transitions.
   
9. Publishing videos in a format playable in media players.
   
10. Understand the Fundamentals of Motion Graphics
    
11. Getting to Know the Workflow of Motion graphics and visual effects production​
    

C. Practical and professional skills

Adobe Premiere pro

1. Touring Adobe Premiere Pro Creative Cloud
   
2. Setting up a Project
   
3. Importing Media
   
4. Organizing Media
   
5. Mastering the Essentials of Video Editing
   
6. Working with Clips and Markers
   
7. Adding Transitions
   
8. Performing Advanced Editing Techniques
   
9. Putting Clips in Motion
   
10. Multicamera Editing
    
11. Editing and Mixing Audio
    
12. Sweetening Sound
    
13. Adding Video Effects
    
14. Improving Clips with Color Correction and Grading
    
15. Exploring Compositing Techniques
    
16. Creating Titles
    
17. Managing Your Projects
    
18. Exporting Frames, Clips, and Sequences

​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 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 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.
  

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​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.​
  
  

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​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.​