• ​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​​

​

​

​

• ​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.   ​

​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
   

• ​​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.