​​​​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.
  
  

• ​​​Provide students with concepts and tangible strategic skills that can readily be put into practice in often   changing business environments. 
  
• Present the 21st century competitive/business landscape from a strategic management perspective and to assess how global and technological influences shape it
• Provide students with a critical overview of the main tools of contemporary strategic practice in organizations in a way which is relevant to their professional needs
• Achieving the intended learning outcomes (covering both knowledge and skills) fully supports this aim.

​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.

​​​​The aims of the art and design in context are:

• Acquire the theory necessary for the practice of drawing for designers
  
• Discern the drawing component
  
• Recognize and appreciate design in nature and all creation
  
• Acquire the basic terminology of the design profession
  
• Develop an understanding of "why to do it" as well as "how to do it"
  
• Acquire technical proficiency in the use of the tools and materials of design
  
• Apply the elements of design to exploit their use through one's own perception.
  
• Master the essential drawing skills and techniques such as gestalt, light and shadow, relationship, spaces and edges.
  
• Acquire a comprehensive knowledge, theories, and concepts about illustration and its major roles as an artistic form and visual communication tool.
  
• Develop substance knowledge of drawing techniques, art styles, drawing mediums and craftsmanship needed for image making.
  
• Acquire a competency with the tools and techniques associated with the art of illustration.
  
• Explore interdisciplinary forms of art making such as drawings, collage and mixed media.
  
• Develop an appreciation and tolerance of diverse perspectives dealing with art and culture.
  
• Become involved in collaborative art experiences.
  
• Use the elements of design in creative manners to produce aesthetically pleasing compositions.
  
• Develop self-expression and effective visual communication.
  
• Use appropriate critical vocabulary to describe and analyse works of art.​
  

​ A. Knowledge and understanding

On completion of the course students will be able to:

On completion of the course students will be able to:

1. Get familiar with the drawing elements: colour, shape, line, tone, texture, form, etc.
   
2. Define the visual rolls of design principles: balance, contrast, cropping, etc. in design.
   
3. Identify the design elements and principles that satisfy the stated purpose.
   
4. Demonstrate knowledge and understanding of the role of perception as a communication tool in graphic and multimedia design.
   
5. Research, analyse, identify, and apply key aspects of the subject matter, the artistic techniques and the principles of drawing.
   
6. Use appropriate terminology to describe illustration types, styles, mediums, techniques and processes.
   
7. Explain, discuss and critique illustration art work, including some reference to the art historical, social, and cultural context.​
   

B. Cognitive skills

On completion of the course students will be able to:

1. Enrich skills of combining manual methodologies and materials in order to fulfil certain function.
   
2. Read text materials and identify key points and concepts that should or could be communicated through an illustration.
   
3. Select data and information from various sources and analyse and present them on an appropriate manner to support a project and its solution.
   
4. Communicate effectively visual concepts showing recognition of the target audience and the purpose of the illustrations.
   
5. Identify key elements of the subject matter needed to be illustrated and its purpose and identify the appropriate artistic techniques and methods for producing illustration projects.​
   

C. Practical and professional skills

On completion of the course students will be able to:

1. Develop the ability to synthesize into a coherent point of view and communicate it through 2D and 3D formats.
   
2. Employ technical and artistic skills needed to create highly crafted illustration projects that communicate ideas for specific target audience and for various design applications.
   
3. Use effectively and creatively elements and principles of design in the creation of illustration projects.
   
4. Identify and communicate visually alternative solutions.
   
5. Create effective art composition by applying design principles and appropriate rules of composition.​
   

D. Key transferable skills

On completion of the course students will be able to:

1. Translate verbal meanings into design forms, by using different materials and methodologies.
   
2. Discuss your work and the work of others with confidence and to offer critical feedback to their classmates.
   
3. Design, illustrate, and complete individual projects for various purposes and audience in effective and creative manner.
   
4. Create a portfolio of graphic design and multimedia projects and display finished works in a professional manner.
   
5. Classify illustrations according to types of design problems, subject matter and applications.
   
6. Demonstrate an understanding of the demands and expectations of the illustration profession.
   

• ​​​Understand the history of photography
  
• Become proficient at the technical aspect of photographing with a camera
• Use camera manually (Aperture, Shutter Speed, ISO, White Balance, Focus)
• Understand the relationship between ISO, Shutter Speed and Aperture (Exposure triangle)
• Understand the difference between quantity and color of the light (white balance, kelvin)
• Recognition and manipulation of the direction of light (6 key directions: Frontal, 45degree, 90 degree, Zenithal, Diabolic, Back light)
• Construct the proper lighting and acknowledge the importance of the light and reflections (key light, fill light, back light, background light)
• Understand the rules of image composition
• Emphasize on the artistic part of the image and different themes of photography
• Conceptual thinking and visualizing concepts via images
• Studying the work of great photographers (Ansel Adams, Henri Cartier Bresson…) 
  

​ A. Knowledge and understanding

Upon completion of the course students will be able to:

1. Understand camera controls: shutter speed, aperture, ISO...
   
2. Capture well framed and exposed images
   
3. Demonstrate knowledge and understanding of the role of photography in these times.
   
4. Recognize and manipulate the direction of light.
   
5. Emphasize on the artistic part of the image and different themes and fields of photography.
   

B. Cognitive skills

Upon completion of the course students will be able to:

1. Develop skills of combining manual methodologies and materials in order to fulfil certain functions.
   
2. Read text materials and identify key points and concepts that should or could be communicated through a photo.
   
3. Select data and information from various sources and analyse and present them on an appropriate manner to support a project and its solution.
   
4. Communicate effectively visual concepts showing recognition of the target audience and the purpose of the photo.
   
5. Identify key elements of the subject matter needed to be photographed and its purpose and identify the appropriate artistic techniques and methods for producing image projects.​
   

C. Practical and professional skills

Upon completion of the course students will be able to:

1. Develop the ability to synthesize coherent creative thoughts and communicate them through images.
   
2. Employ technical and artistic skills needed to create beautiful photo projects that communicate specific concepts and ideas to the target audience.
   
3. Use effectively and creatively elements and principles of photography in the creation of a narrative.
   
4. ​Identify and communicate visually alternative solutions.
   
5. Create effective art photos by applying principles and appropriate rules of composition.​
   

D. Key transferable skills

Upon completion of the course students will be able to:

1. Translate verbal meanings into photo forms, by using different materials and methodologies.
   
2. Discuss their work and the work of others with confidence and to offer critical feedback to their classmates.
   
3. Use photos to complete individual projects for various purposes and audience in an effective and creative manner.
   
4. Create a portfolio of visually and conceptually strong photographs and display these finished works in a professional manner.
   
5. Classify photography according to types, subjects and applications.
   
6. Demonstrate an understanding of the demands and expectations of the photography profession.​
   

• ​​​The aim of the course is to start by focusing on the audio aspect of Multimedia alone such as the manipulation of Microphones and the correct way of recording then to move on to learning about video alone through the manipulation of a digital camera and correct capturing.
  
• The integration of both mentioned items above into one consolidated form which is a single line of short film with an editing tool.
• Learning about audio and video imports and exports
• Learning basic special effects in editing
• An introduction into script writing
• Understanding the in-depth of the work that goes through in making TVC, Clips and Movies.
• To learn the proper wording used on sets for camera movements and the proper etiquette for each set.
• To learn about lighting equipment and indoor VS Outdoor shootings.
  

​ A. Knowledge and understanding

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

1. Get familiar with Microphones, Cameras, Lighting equipment, Grip and editing tools.
   
2. Recognize and manipulate the indoor v/s Outdoor lighting correctly.
   
3. See Artistically the movies and clips and be able to criticise the image in front of them.
   
4. Learn the basics in Video effects.
   
5. Brief history of Multimedia. ​
   

B. Cognitive skills

On Completion of this course the student will be able to :

1. Read through a Video and avoid making industry mistakes.
   
2. Learn how to make and read storyboards.
   
3. Be able to calculate frame rate and make high speed and low speed movies.
   
4. Understand how the Multimedia made the world smaller and that every person can become a director.
   
5. Understand the meaning of resolutions in Multimedia and how to convert formats.​
   

C. Practical and professional skills

On Completion of this course the student will be able to :

1. Manipulate Microphones and record sound correctly.
   
2. Manipulate Cameras and capture video correctly.
   
3.  Audio and Video integration into and editing program.
   
4. Manipulate light equipment correctly.
   
5. Import Export Audios and Videos into a short TVC or Clip or Short Movie.
   
6. Breakdown a movie into parts and put it all on paper.​
   

D. Key transferable skills

On Completion of this course the student will be able to : 

1. Understand how to read a breakdown and make one from a scene.​
   
2. Understand the Multimedia Market.​
   
3. Open a YouTube channel
   
4. the student will be able to make a project quotation from zero.
   
5. On set etiquette and understanding the job of every person on the shooting team​
   

• ​​​Become proficient at the technical aspect of photographing with the camera. Use camera manually (iris, shutter, ASA, WB, focus)
  
• Understand the relationship between ISO, shutter speed and aperture(quantity of light)
  
• Understand the difference between quantity and color of the light (white balance, kelvin)
  
• Recognition and manipulation of the direction of the light(6 key directions: Frontal, 45degree,    90 degree, Zenithal, Diabolic, Back light.
  
• Construct the proper lighting and acknowledge the importance of the light and reflections (key light,           fill light, back light, background light).
  
• Work with the contrast and direction of the light.
  
• Basic knowledge of image composition
  
• Emphasize on the artistic part of the image and different themes of photography
  
• Be more aware of the correct composition by analyzing the shapes and lines inside the image.
  
• The 3^rd dimension in photography.
  
• Be more sensible to the direction of the light, its contrast and color.
  
• Working with concept images and being able to deliver a message
  
• Studying the work of great photographer (Ansel Adams, Henri Cartier Bresson…)  
  

​ A. Knowledge and understanding

On completion of the course students will be able to:

1. Get familiar with camera elements: shutter, iris, asa, wb, etc.
   
2. Define the photographic element of an image
   
3. Identify,technic,composition,special,moment,light.
   
4. Demonstrate knowledge and understanding of the role of photography in these times.
   
5. Recognition and manipulation of the direction of the light.
   
6. Emphasize on the artistic part of the image and different themes of photography.
   
7. The 3^rd dimension in photography.

​​​This course is aimed at the students who wish to complete the Arab Open University's degree in Graphic and Multimedia Design program. The purpose of this course is related to its two academic sub components: semiotics and applied media aesthetics as well as general design culture. In the first part the aim is to introduce students to the formal elements of semiotics through composition and structure. In this course students develop a language to help them articulate what films, photographs, or advertisements look like, what formal or stylistic choices were made in their production, and what distinguishes one media artifact from another. This part of the course describes the fundamental aesthetic elements of applied media aesthetics such as, light and color, two-dimensional space, three-dimensional space, time-motion, sound, and how they can serve as basic criteria for analysis of video and film. It also explains how these elements can be structured and applied to produce maximally effective visual and sound images in video and film. By placing these essential image elements into their particular contextual fields, their interdependence and structural potential in aesthetic synthesis, the clarification, interpretation, and communication of significant experiences are made clear.

This part of the course will enable the students to:

• Learn and understand the basic principles of semiotics via examples from photography, film, audio and video.
  
• Identify the importance, influence, relationship and meaning of visual images.
  
• Understand the influence of historical development of aesthetic concepts of beauty, art and
  
• design for digital screens.
  
• Understand the context of marketing strategy, branding and identity development.
  
• Think critically about design choices used in applied media production.
  

General Design Culture:

Studying the design process develop the convergence of diverse skills as well as the theoretical knowledge, which are necessary for reaching the right outcomes for any given design project. This module covers the design process' different layers: research, decoding, encoding, narrative, content development, experimentation and concept driven outcomes. Every area is explored both horizontally and vertically with a main focus on the transitions between the steps linking those areas.

​ A. Knowledge and understanding

On completion of the course students will be able to:

1. Demonstrate understanding of the principles of semiotics and media aesthetics.
   
2. Recognize the aesthetics elements of film, video and electronic productions.
   
3.  Identify the theoretical and practical terminology associated with semiotics and its applications.
   
4. Apply various visual communication approaches to solve given problems in specific areas of activity.
   
5. Apply the required knowledge of every particular characteristic for each of the required design activities.
   
6. Apply the means of expression of design language: form, balance, texture, composition, content, culture, etc., and to have the resources for creation in any of the fields of design.
   
7. Apply the techniques of visual communication representation required in a project's process.​
   

B. Cognitive skills

1. On completion of the course students will be able to:
   
2. Critically analyze design for digital screens using semiotics and aesthetic terms and evaluation criteria.
   
3. dentify design elements and principles used in designs for applied media production.
   
4. Appreciate the impact of social context, interaction, social connection and communication on design.​
   
5.  Integrate knowledge and skills from the design process into other subject areas as essential parts of the practice of visual communication design.
6. ​Develop their research skill covering both visual and analytical methods ​

C. Practical and professional skills

On completion of the course students will be able to:

1. Apply semiotic design concepts to create original design for various digital media formats.
   
2. Explain, illustrate and evaluate formal aesthetic in video and film productions.
   
3. Continue the development of their creative skills and have knowledge related to professional design business culture.
   
4. Identify fundamental aspects of applied design process in professional design organization.
   
5. Learn to develop and write conceptual narratives that feed directly into concept driven ideas.
   

D. Key transferable skills

On completion of the course students will be able to:

1. Demonstrate competence over semiotcs via the practical application of theories to film, video production and essay writing.
   
2. Incorporate visual dimensions of light, color, space, and the dimensions of time, motion, and sound concepts into effective forms of communication in a digital media display.
   
3. Master the knowledge necessary to make informed aesthetic choices and detailed production plans for audio visual projects.
   
4. Apply storytelling techniques that involve the relationship of media aesthetic principles and the effects and perceptions of the audience.
   
5. Recognize various design elements, their content and visual organization in any design composition.
   
6. Narrative building skills that can be applied in any other module where a concept is needed to be at core of the visual development.
   
7.  Visual experimentations in different directions and analyze the difference in those directions based on required components.
   
8. Repetition of the process to finally achieve what is known as the creative habit. ​
   

​​​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

1. Explain .NET Platform.
2. Describe data types, variables, constants, operators and built-in functions in the selected .NET programming language.
3. Discuss decision-making and looping statements.
4. Explain object oriented concepts such as classes, objects and methods.
5. Describe the features of object oriented programming such as Inheritance and Polymorphism.
6. Explain the concept of arrays.
7. Identify errors and different types of exceptions in a .NET program.

​​​​

​

​​

​

• Define data visualization (versus information graphics, or information visualization) and explain the differences in visualization purposes, from exhibitory to exploratory and explanatory.
• Identify the most appropriate visualization strategy given the result of a data analysis process and an intended communication objective.
• Identify instances where general guidelines should be broken, and provide practical and theoretically informed arguments supporting their design decisions.
• Identify deceptive usage of visual communication, or unintentionally misleading graphical representations of data (evidence).
• Demonstrate critical thinking skills associated with problem identification, problem solving and decision-making, assessing value propositions supported by data, and generating a logical synthesis of information from data.
• Understand how Cultures of Practice influence the way data may be collected, described, or formatted in order to align their own data management practices with those of their discipline.​
  

• Produce alternative visualizations for the same message, compare their relative strengths and weaknesses, and make a motivated choice for the preferred one given the intended communication outcome.
• Apply the most common techniques for analysing data, and also become more in-tune with ethical considerations and how not to visualize data. 
• Merge approaches to visualization with design principles to reveal patterns in data and present information from a human-centred perspective. 
• Use a range of analogue and digital tools and techniques to translate the meaning of data into comprehensible visual or experiential content.
  

• Retrieve, select and evaluate information from a variety of sources. 
• Explore methods for perpetually expanding the truthfulness of their models when abstracting data from the real world. 
• Prepare professional business reports and make effective client reports of their work.
•  Apply data visualization best practices to their work, including choosing the right chart type for the situation and avoiding visualization techniques that can mislead an audience. 
• Properly document and organize data and visualizations in order to prepare them for reuse.
  

• Follow a checklist of established design guidelines when building a visualization to account for human perception, communicating uncertainty, and reducing potential miscommunication.  
• Generalize standard visualization techniques and customize them to better fit the visual literacy and/or intended communication outcome for a particular audience with domain-specific problems.   
• Effectively communicate insights about data in various formats, including oral presentations, written reports and interactive visualizations.
• Communicate effectively through graphical presentations, the spoken word and written reports. 
• Work as an individual to seek solutions to problems, with minimal guidance.​​
  
  

• ​​​Introduce all aspects of object-oriented principles
  
• Identifying and implementing class relationships using abstract classes, interfaces and inheritance
• Provide knowledge in using simple UML class diagrams
•  Describe how these concepts are implemented in java
• Provide knowledge in how to explore the JAVA API and to develop your own
•  Provide the knowledge necessary to construct java programs
•  Describe a number of the advanced facilities of java including exceptions
• Show how java can be used in developing non-trivial programs
• Introduce good design and programming practice
  
  

​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​​
   
   

• Identify the key concepts of markup languages like HTML, CSS and protocols in the workings of web and web application.
  
• Recognize a range of different programming languages and explain their differing roles and properties for static and dynamic web contents. 
  
• Identify various mobile application development frameworks
• Demonstrate a range of social, legal, ethical, and technical skills necessary for ongoing professional growth in the web development discipline in a global context.​
  

• Evaluate and solve a given problem to create a web-based application. 
  
• Integrate theory and practice, resulting in a greater understanding of web and mobile development strategies and applications.
• Devise and organize innovative projects in web development. 

• Design and implement a dynamic web application that incorporates client-side and server-side programming
• Create, integrate, manage, and improve advanced web- based frameworks for a variety of responsive application in different business solutions.
• Use frameworks and code to produce visually appealing and demanding mobile applications.
  
  

• Develop and deploy web and mobile applications independently or as part of a team.
• Apply appropriate problem-solving techniques to a range of problems. 
  
• Organize their own learning and success to the point that they are ready to continue learning after they graduate. ​
  
  

• ​​​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.

​​​

​

​

​​A. Knowledge and understanding​

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

A.1. A range of advanced data analysis techniques, building on those introduced at level 

2. A.2. Normal linear models (including analysis of variance, multiple regression and enhanced knowledge of simple regression).

 A.3. Generalized linear modelling (including logistic, Poisson and loglinear models for contingency tables as special cases). 

A.4. Residual and influence diagnostics for linear and generalized linear models. 

​A.5. An appreciation of techniques in one of two specialisms: econometrics or data science (including legal and ethical issues).

B. Cognitive skills

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

B.1. Formulate real-world data analysis problems in a linear or generalized linear modelling framework. 

B.2. Interpret and criti​cally evaluate the outcomes of statistical data analysis in terms of the real-world problem from which the data arose. 

B.3. Compare and contrast alternative models for the same data.

B.4. Use a modern statistical software package (in particular, R) to analyse data using linear and generalized linear models (including data exploration and the use of diagnostics).​

C. Practical and professional skills

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

C.1. Fit and critically evaluate for linear and generalized linear modelling 

C.2. Use R to build suitable statistical models 

C.3. Understand the requirements of a statistical analysis that is given using non-technical language and communicate the results of that analysis in a similarly non-technical way. 

C.4. Analyse, evaluate problems and plan strategies for their solution

D Key transferable skills

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

D.1. Organise study time, study independently, act on feedback, and meet deadlines 

D.2. Communicate solutions to problems and the outcomes of statistical data analyses clearly and coherently, and to comment critically on statistical analyses, using appropriate language for specialists and nonspecialists. 

D.3. Select, and use accurately, appropriate data analytic approaches. 

D.4. Develop the ability for dealing with problems given in an open-ended way.​

​​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.​
   

​

​A. Knowledge and understanding

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

A.1. Solve a constant coefficient second order linear initial value problem with driving term exponential time’s polynomial.

A.2. Perform calculus operations on vector-valued functions, including derivatives, integrals, curvature, displacement, velocity, acceleration, and torsion.​

A.3. Compute Fourier coefficients, and find periodic solutions of linear ODEs by means of Fourier series.​

B. Cognitive skills 

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

B.1. Judge if the results of ODEs solutions are reasonable, and then interpret and clearly communicate the results.

B.2. Think critically by setting up and solving application problems involving double and triple integrals.

B.3. Demonstrate ability to think effectively to interpret and use functions of several variables.​

C. Practical and professional skills

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

C.1. Utilize Delta functions to model abrupt phenomena, compute the unit impulse response, and express the system response to a general signal by means of the convolution integral.

C.2. Locate and use information to solve calculus problems in several variables.

C.3. Competence in solving problems related to vectors in 2- and 3- dimensions and their applications.

C.4. Work effectively with others to complete homework and class assignments.

D Key transferable skills​

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

D.1. Analyse real world scenarios to recognize when ordinary differential equations (ODEs) or systems of ODEs are appropriate.

D.2. Demonstrate the ability to communicate with colleagues on the topics of ODEs and systems of ODEs

D.3. Formulate problems about the scenarios, creatively model these scenarios (using technology, if appropriate) in order to solve the problems using multiple approaches.

D.4. Apply the computational and conceptual principles of calculus to the solutions of real-world problems.

D.5. Recognize ODEs and system of ODEs concepts that are encountered in the real world, understand and​​ be able to communicate the underlying

mathematics involved to help another person gain insight into the situation

​​​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.​​
   

​A. Knowledge and understanding

B. Cognitive skills

C. Practical and professional skills

D.3. Organise your study time, study independently, exploit feedback and meet deadline

​​​A. Knowledge and understanding​

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

A.1. Demonstrate understanding of techniques for analysing and interpreting data. 

A.2. Realize time series data, trend and seasonality, additive and multiplicative models, transforming time series, moving averages, estimating the trend, seasonal and irregular components. 

A.3. Define the concepts of multivariate data, scatterplots, matrix scatterplots and profile plots, mean vectors and the covariance matrix, standardisation and the correlation matrix.​​

B. Cognitive skills ​

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

B.1. Apply mathematical and statistical manipulation and calculation on choices of model and analyses resulting from them.

 B.2. Assemble relevant information for proofs and construct appropriate mathematical arguments, and exercise judgment in selection and application of a wide range of​ mathematical and statistical tools and techniques. 

B.3. Represent groups in multivariate data and measure the separation between and withingroups covariance matrices​

C. Practical and professional skills

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

C.1. Apply Markov chain simulation, burn-in, practical Bayesian data analysis with MCMC; and interpret MCMC output. 

C.2. Analyse objective and subjective probability, Bayes’ theorem. Prior distributions, the likelihood, posterior distributions. 

C.3. Gain membership of the Royal Statistical Society and the Institute of Mathematics such as London Mathematical Society.

D Key transferable skills​

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

​D.1. Apply statistical modelling and analysis techniques to a wide range of practical problem such as simple, Holt and Holt-Winters exponential smoothing, autocorrelation and prediction, the correlogram, tests for zero autocorrelation, prediction errors. 

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

D.3. Use professional mathematical and statistical software with confidence. 

D.4. Communicating statistical ideas clearly and succinctly. 

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

​​​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
   

​A. Knowledge and understanding

After studying the course, you will be able to:

• Identified various components of Linux Operating System and able to install the different distributions of Linux.
• Describe the various types of User and Group accounts and how to secure them.
• Describe the features of Linux file system and able to use variety of inbuilt tools to secure the data and file system.
• Discuss the process of automation and how it is used in optimization the performance.
• Discuss the importance of networking and able to identify and configure the operating system features to protect the network from adversarial attacks.
• Describe and fine tune the process in Linux environment and how it impacts on the overall health and security of the system.
• Discuss the operation of Linux software requirements and updates using commands and utilities.
• Describe the role of Firewalls, IDS and differentiate between “Footpriniting and Reconnaissance" attacks.
  
  

B. Cognitive skills

After studying the course you will be able to:

• Get hands-on instructions installing the Linux Operating System and managing the server side administration activities.
• Analyse and assess the different type of challenges in manging and user and group accounts. Also, able to enhance the system performance using Linux tools and through automation, including the protection of operating system from attacks.
• Able to implement the basic and advance security measures to harden the defence using, Firewalls, IDS and manage the Footprinting and Reconnaissance attacks.
• Read, evaluate, and synthesise the main concepts of the module into a clear and critical view of the strengths, weaknesses, and future direction of Operating Systems administration.

C. Practical and professional skills

After studying the course you will be able to:

• Identify various components and distributions of Linux Operating Systems and install them on standalone Server and in networked environment.
• Manage and maintain the user and group accounts with implementation of appropriate permissions and optimize the performance through automation.
• Harden the network through secure deployment of security patches, system updated and protection from adversarial attacks.
• Be ready to tackle operating system and server administrations tasks and how to configure Firewalls, IDS and Reconnaissance attacks.

D. Key transferable skills

After studying the course you will be able to:

• Become an independent self-learner to remain up-to-date in the field of network and more specifically on managing with Linux Operating System and Server side administration.
• Communicate effectively about requirements and ideas, handle the range of problems / issues related to operating system administration.
  ​
  
  

​​​​The aim of T802 is to enable students to carry out a significant piece of research in the subject area of their degree, and to write up the research and conclusions in a formal dissertation. The research will have professional relevance, but may or may not be directly associated with a company or other organization.

In the process of following the module, students will:

• Investigate in depth an issue or problem that is of professional relevance and/or personal interest to them, which may also be of relevance to an organization with which they have links – such as an employer, charity or non-governmental organization – and is of interest to the wider academic, business or professional community
• Develop their knowledge of recent research in their chosen topic, and its implications and application in different organizations
• Become competent in research methods:
• Develop the capacity to plan, organize and carry out an extended independent study at masters level
• Demonstrate self-direction and originality in tackling and solving problems
• Critically evaluate and reflect upon their own work
• Develop skills in the written communication of research work at masters level.

Students will learn how to develop a research proposal; carry out a literature search and write a critical review of the literature; select suitable research methods and integrate them within a research methodology; carry out research processes; analyze results to draw conclusions; and write up their research in the form of a dissertation. The students' research work will be related to their individual pathway of study (i.e. either the Software Development pathway or the Information Security and Forensics pathway). ​

​ A. Knowledge and understanding

1. Knowledge and understanding of the conduct of research processes at MSc level, from problem definition through defining, planning and carrying out a research, to final academic writing, in a selected field relevant to the qualification sought. 

1. Analyse complex situations in order to select issues or problem situations suitable for research
   
2. Evaluate other research by comparing and contrasting findings in technical journals, proceedings and reports, in order to
   
3. Establish the wider context of the issues or problems selected, and
   
4. Derive research questions to be answered and/or hypotheses to be tested
   
5. Select appropriate research methods and techniques l plan a programme of research
   
6. Carry out a research programme involving the processes of observing, measuring and other forms of data collection as appropriate, making informed judgments in the absence of complete data
   
7. Deal with complex issues both systematically and creatively taking account of legal and ethical issues
   
8. Summarise and interpret observations and results, in order to produce information relevant to the research questions/hypotheses 
   
9. Synthesise arguments and draw conclusions from the information obtained
   
10. Identify gaps in theory and specify further work to be carried out.
    
11. Critically evaluate and reflect upon own work.​
    

C. Practical and professional skills

1. select appropriate texts, journals and reports, and assess applicability to a particular workplace scenario or area of academic or professional interest
   
2. evaluate the work of other researchers and appraise new developments in the area of interest
   
3. identify and define problems and issues in a professional context
   
4. select appropriate research methods
   
5. advocating the appropriate use of technologies and/or problem solving techniques
   
6. Design and develop a research plan
   
7. Carry out research without supervision
   
8. observe and assess results
   
9. draw conclusions
   
10. Write detailed reports
    
11. Operate within the legal and ethical constraints and procedures relevant to the area of research.
    

D. Key transferable skills

1. Explore the demands of the work and formulate viable proposals for meeting those demands
   
2. Plan to manage the work, and meet personal skill-development needs
   
3. Advance own knowledge and understanding through independent learning
   
4. Manage the work, adapting strategy to resolve a major complex problem and achieve the quality of outcomes required
   
5. Communicate clearly knowledge, ideas, and conclusions about the students chosen specialist area using appropriate media, for specialist and non-specialist audiences and present research outcomes in a written dissertation.​
   

​​​​The T828 (parts A and B) module aims to give students a holistic understanding of the fundamentals of network security together with the skills required by a network security professional. In particular, it aims to:

• Provide an in-depth, theoretical understanding of network security management
• Provide students with the knowledge and skills necessary to design and support network security
• Provide an experience-oriented course that employs industry-relevant instructional approaches to prepare students for associate-level jobs in the industry

Enable students to have significant hands-on interaction with IT equipment to prepare them for certification exams and career opportunities​

​ A. Knowledge and understanding

Once you have completed your study of this module, you will have knowledge and understanding of:

1. Network security threats
2. Operations, Physical and Environmental Security
3. Network infrastructure and devices
4. Security Architecture and Design
5. Authentication, Authorisation and Auditing
6. Firewalls, Intrusion prevention
   

B. Cognitive skills

Once you have completed your study of this module, you will have the ability to:

1. Integrate knowledge and skills from various sources into a coherent whole, making the appropriate abstractions
2. Deal with complex issues both systematically and creatively, making informed judgements in the absence of complete data
3. Critically evaluate and reflect upon your own work
4. Solve problems using network modelling tools and real equipment.​
   

C. Practical and professional skills

Once you have completed your study of this module, you will have the professional skills to:

1. Prepare cases advocating the appropriate use of advanced security technologies
2. Prepare to gain industry-recognised certification.​
   

D. Key transferable skills 

Once you have completed your study of this module, you will also be able to:

1. Develop your problem-solving skills and apply them independently to professional or equivalent level tasks/projects/functions
2. Work with others to refine your ideas, leading to an improved understanding of key concepts within the computing systems context
3. Build and maintain advanced networks using Cisco equipment.​
   ​
   

​​​The T828 (parts A and B) module aims to give students a holistic understanding of the fundamentals of network security together with the skills required by a network security professional. In particular, it aims to:

• Provide an in-depth, theoretical understanding of network security management.
• Provide students with the knowledge and skills necessary to design and support network security
• Provide an experience-oriented course that employs industry-relevant instructional approaches to prepare students for associate-level jobs in the industry