Computer Science with Games Programming BSc(Hons)

Working as part of a team, this module aims to provide you with an understanding of hardware, software and industry best practices used by businesses. In your teams you’ll be supported in planning, designing and developing a prototype product. This experience has been designed to introduce you to the product development cycle, technology limitations and possible future developments.

This module will provide you with fundamental knowledge of computer hardware and systems software. You will gain knowledge in the fundamentals of computer hardware ranging from basic digital logic to instruction sets and microarchitecture. The practical elements of this module will equip you with an ability to work with basic system software at a machine instruction-level.

This module aims to introduce you to the core programming concepts using procedural programming fundamentals. In addition, you will gain knowledge of variables, operators, and control flow including loops and branches, functions and data types.

This module introduces the core fundamental principles of computer networking. You will gain knowledge of the theoretical concepts of networking, such as addressing, switching and routing. Furthermore, you will be exposed to key issues, such as network security, along with typical techniques used to address these issues. In addition to the theoretical aspects of networking, you will plan, design and implement practical solutions using live or simulation tools.

This module aims to introduce you to fundamental programming concepts using an object-oriented programming approach. Additionally, you will gain knowledge of high-level notions of algorithms, data structures, and program testing and evaluation.

This module aims to familiarise you with the major non-graphical components of modern game engines including the resource management and physics subsystems. It also covers the game object model and the various tools used to build a game, such as level editors. The module covers both the theory and implementation of these typical components, as well as the overarching architecture of the game engine. You will be supported in using a games industry standard programming language (e.g. C++) to explore approaches to game engine design and development. You will also study engines and middleware used by industry (e.g. Unreal Engine, BulletPhysics) to help you gain an understanding of the challenges facing professional game engine programmers.

You will partake in multiple weeklong game jams, working as part of a team to design, develop and produce a game. The module will allow you to develop your understanding and practical abilities in games production processes on both a technical and professional level, with a strong focus on team and communication skills and encouraging an active approach to individual professional development and team responsibilities. You and your team are expected to conform to professional working standards and follow an agreed code of conduct as part of the module; individual contributions to teamwork and attendance on timetabled sessions contribute to assessment and will be monitored.

In this module you will be supported in expanding your programming skills to cover a range of standard data structures (e.g. lists, trees and graphs) and algorithms (e.g. searching, sorting and traversals) for both sequential and concurrent systems. You will also study how to analyse systems in order to determine their complexity, correctness and safety, and to calculate their efficiency.

Can machines (in particular computers) be intelligent? And what does that mean precisely? These are the main questions that we try to answer in this module. We will explore how machines can achieve intelligent tasks in a variety of settings. In the first half of the module we consider settings with full observability and determinism, these are like laboratory conditions or puzzle games. In this setting, we will look at knowledge representation, problem solving, and planning. In the second half of the module the settings are relaxed, and we will study how to deal with the uncertainties that arise from this. In particular, we will see how to deal with opponents, with incomplete and/or uncertain information, and how intelligent agents can learn.

This module covers the mathematical foundations required for scientific computing. You’ll be introduced to fundamental concepts in algebra and be supported in developing an understanding of both analytical and numerical methods for solving equations in one variable. You'll also be introduced to error analysis and proof.

In this module you will study the architectures of computer operating systems, including how they deal with resource allocation, management and security, in both single processor systems and multiple distributed processor systems (networks).

This module aims to develop your abilities in advanced specialist skills in computer games development. It covers advanced games programming technologies and techniques, particularly relating to innovative gaming interface systems. The module will explore the advancements in, and potential of, such novel Human Computer Interface (HCI) technologies for future developments in games and new game genres. It also introduces technologies and tools for defining and measuring software quality through adopting Software Metrics, Software Quality Models, and Process Maturity Model.

Teams of approximately 8 students will form a games development team, allocating production roles and responsibilities as per standard games industry studio structure. Working from an agreed design outline, you will develop a professional quality game, to either a publishable standard or in the case of larger titles a vertical slice with the potential to attract publisher investment. You are expected to conform to professional working standards and an agreed code of conduct, this will include polished pitching and proposals, collaborative team working driven via sound project management and structured task assignment alongside an Agile development approach.

This module aims to provide you with an understanding of computational perspectives of mathematics, with an emphasis on matrix methods and data modelling. You’ll be supported in developing the ability to use both analytical and numerical techniques for solving large systems of linear equations and in analysing the resulting algorithms in terms of robustness, performance, stability and accuracy. You’ll be encouraged to broaden your mathematical understanding by applying your knowledge to real-world problems in developing solutions to a range of computational challenges using industry standard software (such as Matlab).