Computer Science

You will be introduced to a practical, hands-on approach to programming where workshops will provide focused practical activity on a managed learning curve. You will learn excellent programming practice through design, implementation and testing, and will be introduced to the basics of structured programming language using an integrated programming environment.

You will strengthen your syntax and semantics base of Java developed in the ‘Programming 1’ module. You will develop an appreciation of recursion as well as your knowledge of dynamic data structures. Additionally, you will learn how to test and debug code, along with an appreciation of more sophisticated programming behaviour.

This module will share fundamental knowledge of database management systems, their design, implementation and applications. It will develop your knowledge and understanding of the underlying principles of relational database management system, and how to implement and maintain an efficient database system.

You will be introduced to the business context and application of computing and information systems. You will explore this through societal, professional, ethical and legal issues surrounding business practices and the theory and process of project delivery to a professional standard.

You will be introduced to theory and practice of website design and development and develop knowledge and understanding of human-computer interaction and techniques for designing and analysing user interfaces. You will also gain skills and practical experience of designing, developing and testing websites using HTML5 & Cascading Sheets (CSS).

This module will provide you with an in-depth low-level knowledge of computer systems, concentrating on computer architecture, operating systems and communications technology. You will also start to develop skills in the use of Unix-like operating systems at command-line level, writing and using simple scripts and batch files and the simple system administration of a standalone Linux PC.

In this module you will be introduced to some of the most important data structures used in the design and implementation of computer software and shown how these are implemented using Java. You will then learn to analyse the requirements of algorithm resources to allow you to provide a sound basis for objective choice when dealing with competing algorithms.

You will learn in detail how the Internet works, from local area networks to global networks. This will include designing and troubleshooting networks, and configuring and testing network applications. You will also look at security vulnerabilities, cryptographic principles, protocols, C-I-A trade-offs, firewalls and legal implications. You will apply these principles to designing solutions for some realistic case studies.

You will receive a broad overview of software development methods and techniques, focusing on various modelling and design approaches. You will develop understanding of the application of generic pattern-based strategies for resolving common high-level problems in object orientated design. You will develop problem recognition and categorisation and learn how (and when) established pattern-based solutions can be identified and applied as solutions.

You will develop a range of employability 'soft skills' to give you an advantage when applying for (and carrying out) a placement as well as graduate roles. Employers value a combination of technical and interpersonal skills. This module will draw from our extensive industry contacts to demonstrate the range of skills needed to succeed in your career and to help you develop a career plan.

This module combines technical work in computer programming with the opportunity to gain first-hand experience of using an “agile” software development technique. You will work in a group to design, develop, document and demonstrate a solution to a problem, working to a professional standard, often under the direction of an external client. This module starts with an introduction to agile techniques and methodologies followed by the opportunity to apply, evaluate and reflect on these techniques.

You will be introduced to Artificial Intelligence (AI) and Data Mining (DM) techniques for problem solving. You will become familiar with AI techniques and terminology for knowledge representation and searching, and gain an understanding of DM algorithms, and learn how these techniques are used in real world applications.

You will develop data-driven interactive web applications, with client-side and server-side components, using industry-standard software development tools and techniques. You will design, create, test and demonstrate software implementing a data-driven web application, programming, industry standard scripting languages (such as PHP and Javascript), connecting to industry standard databases, identifying security risks, and working within legal constraints such as data protection, accessibility and copyright.

You will study more advanced software engineering techniques including reuse, security, component-based and service-oriented software engineering. These more advanced topics will help you to understand how recent technical innovations are affecting the practices you need to build high quality software. You will undertake some online research to explore a practical, industry-based scenario involving advanced software engineering decision-making. You will have to think about the trade-offs between software product quality and developer productivity.  

You will undertake an individual project that will demonstrate your understanding of computer science. You can select your own area of study, identify and develop a realistic problem and, working independently and in a professional manner, organise, sustain and report on your project in a way which is both detailed and reflective.

Visual Information Analysis (VIA) is a key component of several real-world applications in the field of Computer Vision, Artificial Intelligence, Machine Learning and Big Data analytics. For example, Manufacturing and Production, Retail, Surveillance and Security, Autonomous Vehicles and Transportation, social media and Entertainment, Healthcare, Agriculture, and Inspecting Power Lines with Drones. When we capture through mobile cameras, drone cameras and CCTV cameras, Visual Information Analysis is essential to understand the content in the images. Therefore, this module focuses mainly on how to formulate an image, represent the image, extract features and visualise the content in the image for prediction and making decisions.  

This module will provide you with a comprehensive understanding of the principles, practices and measures of virtual reality technology and the development of interactive 3D worlds. Applications of the technology that will be used are from across sectors including the computer games industry, medicine, energy, engineering and science. You will develop your programming to an advanced level of understanding and experience of modern interactive 3D engine development.

This module aims to provide students with business and enterprise concepts to allow them to analyse and evaluate business practices, concepts, theories and frameworks and their relationship to the strategic and operational management of an enterprise or a project. This is intended to complement the technical project management content of the course and provide a real-world context linked to current enterprise activities at the university. You will also learn about freelancing.

The module will provide an introduction to the key technologies used to provide interactive web sites and interactive applications for use with mobile devices, taking into account the unique environment in which these applications operate. Consideration will be given to how to use these technologies whilst still maintaining web standards, particularly accessibility.

This module will prepare you for the creation and implementation of information security policies in organizations, with an emphasis on risk management and business continuity planning, taking account both of the practicalities of implementation in a real-world setting, and the various legal and ethical issues involved. You’ll learn to identify assets, vulnerabilities, threats and controls and to consider issues of security culture.

Introducing you to the field of deep learning and its applications, you will learn about the deep learning architectures and algorithms that are used in applications such as face recognition, speech recognition and medical diagnosis. You will also have the opportunity to develop your professional skills using the Python programming language and utilizing a deep learning framework to develop predictive models and applications. 

You will learn the common stages of creating a large-scale web application. This consists of the following: development of a scalable web application using design patterns, frameworks and other industry best practices; discussion of the concepts of APIs; designing a fully RESTful API for the application; and create a client to consume the application API .