To enhance the learner's skills in design, implementation and testing of OO applications.

1. Design and i mplement programs using the OO concepts of encapsulation, abstraction, inheritance, and polymorphism.
2. Implement programs using interfaces , abstract classes and exception handling .
3. Select and apply appropriate algorithms for manipulating data in data structures.
4. Analyse a solution (see L.O. 3) in terms of its complexity and performance profile , and gather metrics – via performance monitoring – to justify the appropriateness of selected algorithms and data structures.
5. Design and implement appropriate unit testing strategies for classes.
6. Collaboratively build a software artefact.

Contemporary software development methodologies incorporating terms such as agile and lean are employed as an alternative approach to traditional software development methodologies for particular types of software projects. This module introduces the learner to the Software Development Life Cycle(SDLC) and the application of the main software development methodologies, techniques, and tool support, examining both traditional and modern methodologies as a means of responding to the challenges faced by software delivery projects.

1. Evaluate and compare traditional and contemporary software development methodologies .
2. Differentiate between business, functional and non-functional requirements.
3. Utilise elicitation techniques to obtain requirements and communicate and validate these requirements .
4. Develop arte facts to aid the design of a system using an iterative approach and utilising an industry standard tool.
5. Create and prioritise a product backlog that records, manages and reports on work as part of a modern software development methodology .
6. Examine and describe trends and d evelopments in the area of contemporary software process engineering.

This module aims to enhance a student’s knowledge, understanding and practical experience of contemporary software development, by challenging them to adopt modern software engineering best practices. Students will explore areas such as engineering culture, processes, and tools and how these aspects contribute to the effectiveness of a software engineering team to deliver software at scale and speed.

1. Critically evaluate and implement software engineering best practices to support the development and delivery of software at speed.
2. Evaluate the functional correctness of software by creating robust software testing solutions, utilising best practices such as test driven development (TDD) and behaviour driven development (BDD).
3. Analyse and evaluate the performance and security profiles of software artefacts.
4. Demonstrate an ability to work effectively as a member of a software engineering team, through the delivery, management and review of engineering related project tasks and software artefacts.

DevOps pipelines require a new way of thinking, putting quality, performance and security much earlier in the system development lifecycle. This module introduces the learner to the principles of automation, enhanced communications and feedback loops as a means of responding to continuous change within the software development environment.

1. Design and implement a test management plan for the implementation of quality management as well as for verification and validation processes.
2. Provision the full DevOps stack using a suitable environment and relevant tools.
3. Explore techniques to automate the systems lifecycle .
4. Enhance the performance and security of the system through the application of detailed review and enhancement techniques.
5. Promote continuous feedback and system integration through distributed version control.
6. Devise a configuration management process to embed within the pipeline .

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. The students Project will encourage independent investigation, design skills, revision and reflection on a specific area of computer science relevant to contemporary software development.

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. Demonstrate independent technical investigation.
2. Choose and apply an appropriate software design methodology for the development of a software artefact.
3. Demonstrate 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.

This module provides students with an introduction to Microsoft's .NET Core framework and their Xamarin and ASP .Net Core developer platforms. Utilising these technologies students will gain practical experience of design, developing and evaluating both mobile and web applications.

1. Design and justify a system architecture for modern web and mobile applications, satisfying the requirements for real-world scenarios.
2. Design and implement front-end user interfaces for mobile applications using Xamarin.
3. Design and implement front-end user interfaces for web applications using ASP.Net Core.
4. Deploy, monitor, and evaluate live mobile and web applications.

This module offers a robust introduction to High Performance Computing (HPC) and its use in engineering, science, and business. The module aims to study the fundamental models associated with parallel programming, platforms commonly utilised in HPC applications, performance tools and efficient programming practices, all with the objective of creating highly performing parallel programs that are efficient and effective.

1. Critique the importance of HPC in engineering, science, and business.
2. Identify and differentiate between HPC platforms in common use.
3. Evaluate and deploy mechanisms to quantify, weigh and assess the performance of HPC applications.
4. Evidence knowledge of parallel programming paradigms that are in common use, through the completion of module tasks and assessments.
5. Evaluate the fitness of different HPC approaches in the solution of specific problems.