Image processing theory and practice has for years provided students with an intuitive testing bed for programming. Their visual intuition feeds naturally into the theory and then extends itself to programming where the program methods produce intuitive output. As such this makes image processing a valuable tool; for strengthening programming skills as well as introducing students to subtle ideas from image processing theory which may be utilised later in areas such as steganographic, or biometric applications.

1. Develop pixel-based image transforms for a range of uses.
2. Discuss and contribute meaningfully to the theory behind such concepts as colour, image transforms, image formation and capture.
3. Program image transforms such as histogram equalisation.
4. Conceive, analyse and discuss image compression techniques.
5. Compare and contrast DCT and DWT transforms.

Software engineering is an engineering discipline which is concerned with all aspects of software production, it is concerned with theories, methods and tools for professional software development . This module builds on what learners have already covered in previous modules and teaches the discipline of software engineering. Learners will evaluate the engineering methods, processes, techniques and measurements which are part of software engineering.

1. Compare and contrast software process models and select a suitable software process model for use on a software project.
2. Evaluate quality in the software process and process improvement initiatives.
3. Appraise software quality models.
4. Establish a software measurement programme.
5. Manage software configuration for a software project.

This module will give students practice in academic research with the freedom to express their personal interests in the field of computing. Students will have an opportunity to critically analyse and synthesise pertinent literature regarding their area of exploration. Students will gain an appreciation of iterative development, critique and an ability to devise a plan for practical development.

1. Appraise and evaluate emerging trends from information sources and present findings.
2. Develop and document detailed aims and objectives from preliminary research.
3. Critically analyse and evaluate pertinent literature succinctly.
4. Analyse advancements in technology with regard to their impact on research and industry.
5. Develop and document a design solution using appropriate methodologies for the field of study.
6. Develop and present a prototype of high academic and technical standard.

This module will provide the learner the knowledge about how software defined networking is changing the way communication networks are managed, maintained and secured. This course will also provide knowledge about wireless network architecture, design, protocols, and security.

1. Design, analyse and implement wireless LAN communication, protocols, and architecture.
2. Design and understand security vulnerabilities, attacks, and mitigation techniques for wireless security.
3. Appraise the challenges of adopting software-defined network over the traditional network
4. Design and implement software-defined network and centralised controller with security considerations.
5. Analyse the architecture and design requirements of a software-defined network

To provide the student with skills and knowledge to understand and appreciate the governance, risk management procedures and mandatory compliance requirements necessary for the successful administration and coordination of an organization.

1. Critically appraise the available best practices for IT governance.
2. Justify the selection of appropriate governance strategies for a given set of business goals and requirements.
3. Align IT strategic, tactical and operational planning to meet strategic business needs.
4. Identify, remediate, monitor, exploit and manage enterprise IT risks according to typical methodologies or standards.
5. Critically assess and audit compliance with relevant mandatory and best practice standards in enterprise IT.

This module features a rigorous introduction to modern cryptography, with an emphasis on the fundamentalcryptographic primitives of public-key encryption, digital signatures, pseudo-random number generation, digital currency models, and basic protocols and their computational complexity requirements.

1. Describe and classify cryptographic protocols
2. Synthesise cryptographic protocols to form a coherent understanding of the role of cryptography incomputer security
3. Demonstrate an understanding of the mathematical underpinning of cryptography
4. Perform simple mathematical proofs for cryptographic schemes
5. Critique the mathematical building blocks of modern cryptographic systems

Students should become sensitized to the ethical and social implications of the growing use of computers and will develop an understanding of the legal issues inherent in the discipline of computing.

1. Evaluate the utility of philosophical ethical theories in solving computer related ethical issues.
2. Examine what it means to be professional at work, in conduct and practice.
3. Discuss the consequences of pertinent legal and social issues on software developers and the role of relevant enforcement organisations.
4. Evaluate current computer-based threats.

This module will offer the student the opportunity to present the synthesis of their computing skills through a personally chosen and independently developed software artefact and supplementary document. Project Development will encourage independent investigation, design skills, revision and reflection on a specific area of computer science relevant to the student's course of study. The software artefact should be a direct response to a research investigation carried out in the Research in Computing with Emerging Technologies module.

In the submission of an accompanying document, it is expected the student will evidence the employment of an appropriate software design methodology, critical thinking and problem solving with regard to issues raised during development. The excellent student will synthesise material from modules they have taken over their course of study and bring this knowledge to bear on their chosen topic.

1. Evidence independent technical investigation .
2. Choose and apply an appropriate software design methodology for the development of a software artefact.
3. Evidence good software development skills such as efficient code, code commenting, code revision, extensibility, bug testing and deployment.
4. Explain development activities in a project report adhering to good academic standards.
5. Deliver a comprehensive presentation on the conception, research, design and development phases which led to their software artefact.

Steganography and Biometric Imaging is a study of imaging in a range of security related fields: steganography, watermarking and biometric security. It involves the study of the design and evaluation of relevant methods. Through this work the student will develop in depth knowledge of digital media and computer security .

1. Analyse and critique steganographic methods using an array of criteria
2. Advise and direct non specialists who are interested in employing watermarking technology
3. Construct a toolkit suitable for use in steganography and watermarking activities
4. Apply, develop and critique a range of techniques to enhance and match fingerprint images.
5. Present coherently a concise and comprehensive analysis of the dangers, weaknesses, uses and abuses of biometric identification methods.
6. Integrate methods from image processing such as transform mapping to the end of advancing biometric success, such as iris scanning, minutiae extraction or constellation mapping.