• ​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.

​

​

​

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

​​​​A. Knowledge and understanding

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

1. An understanding of the object-oriented principles
2. Some knowledge of the main constructs and mechanisms in Java
3. An appreciation of the implications of object oriented software analysis and design
4. An understanding of the techniques used in developing a large Java program

B. Cognitive skills

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

1. Describe and apply key concepts and techniques in software design and development
2. Analyze and abstract away from the details of a problem
3. Design and formulate an appropriate solution to a problem and evaluate it​

C. Practical and professional skills

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

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

D. Key transferable skills 

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

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

• ​​Provide the students with the required skills to possess the computational thinking. These skills start by proper understanding and analyzing the problems to be solved and end by providing computer programs that solve these problems.
• One of the important aspects of this module is to provide the students with the awareness of the limits of computation and the ability to decide which problems can and which cannot be solved efficiently with computers.​​
  

​

​A. Knowledge and understanding

Upon completing this module, students will be able to:

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

B. Cognitive skills

Upon completing this module, students will be able to:

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

C. Practical and professional skills

Upon completing this module, students will be able to:

1. Use the Python programming language to implement algorithms.
2. Write a short report which is based on one or more sources and which has a well-argued conclusion.​

D. Key transferable skills 

Upon completing this module, students will be able to:

1. Apply appropriate computational problem-solving techniques to a range of problems;
2. Apply computational thinking skills to solve problems across a range of application areas.
3. ​Discuss the questions 'What is computation?' and 'What are its limits?', and explain how the answers to these questions have important implications for the practical use of computer-based systems.​
   

• ​​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.​​

• ​​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.​​

​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 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
   

• ​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.​
   

• ​​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​
   

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

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. Network infrastructure and devices
3. Cryptography and virtual private networks
4. Information security risk management​
   

​The module aims to:

• Introduce the technique of solving simple problems using pseudocode.
• Introduce Java programming via writing, compiling and executing simple programs.
• Present how to store and deal with data including variables, constants, and expressions.
• Cover deeply the concepts of program control structure and illustrate each concept with a diagrammatic notation using UML.
• Present how these concepts are implemented in Java.
• Introduce the concept of modularization and how to write Java methods.
• Present how to deal with basic data structures like strings, arrays and two dimensional arrays.
  
  

​A. Knowledge and understanding

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

1. Understanding of the design and programming processes
2. Knowledge of the main constructs and mechanisms in programming using Java language.
3. Understanding of the techniques used in developing a medium Java application.
4. Understanding of the basic data structures like strings, arrays and two dimensional arrays.

B. Cognitive skills

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

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

C. Practical and professional skills

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

1. Create, develop and trace Java programs.
2. Use software tools such as a Java IDE and an On-line Java compiler.
3. Use appropriate programming skills.
4. Traverse data in the basic data structures in a professional way. 

D. Key transferable skills 

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

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