module specification

CU6062 - Artificial Intelligence for Games (2025/26)

Module specification Module approved to run in 2025/26
Module title Artificial Intelligence for Games
Module level Honours (06)
Credit rating for module 15
School School of Computing and Digital Media
Total study hours 150
 
50 hours Assessment Preparation / Delivery
64 hours Guided independent study
36 hours Scheduled learning & teaching activities
Assessment components
Type Weighting Qualifying mark Description
Group Coursework 30%   Research and Plan - approx 1000 words with relevant labelled graphics.
Coursework 70%   Professional AI-enhanced game with documentation
Running in 2025/26

(Please note that module timeslots are subject to change)
Period Campus Day Time Module Leader
Spring semester North Thursday Afternoon

Module summary

This module looks at the use of AI in the development of computer games from a variety of perspectives, offering students an opportunity to build skills with the latest AI tools in professional game engines.  Students will work collaboratively to produce a small prototype of an AI system, and then integrate it into a fully functional game.

This module is designed to further develop game design and development skills.  The module aims to:
• develop students' awareness of artificial intelligence and its current and potential  applications in the field of computer games, digital media and product design;
• enable students to solve problems in designing and building replayability and dynamic challenges in single player games;
• implement the production of complex game systems;
• develop communication skills with particular reference to artificial intelligence;
• develop independent research, development and presentation skills;
• equip students for employment in the games industry.

Prior learning requirements

CU6051 AI or equivalent

Syllabus

Practical application of AI in a game development IDE
-     pathway finding algorithms;
-     state machines;
-     steering behaviours;
-     approaches to agent design;
-     design techniques and current tools such as ML agents;
-     game publication pipeline.

Balance of independent study and scheduled teaching activity

Students will develop theoretical understanding and practical skills based on weekly lectures, tutorials and supervised workshops. The workshops, in particular, are provided to enable group discussions and give opportunities for teamwork experience and practical support.

Appropriate blended learning approaches and technologies, such as the University’s VLE and online tools, will be used to facilitate and support student learning to:
• deliver content;
• encourage active learning;
• provide formative and summative assessments, and prompt feedback;
• enhance student engagement and learning experience.

Learning outcomes

On successful completion of this module students will be able to:

LO1 – Engage with latest techniques for applying artificial intelligence in the field of computer games;
LO2 – Apply theoretical understanding in practical scenarios and be competent at solving interaction design problems;
LO3 – Undertake research and present findings;
LO4 – Develop and release a complete AI-enhanced single player game

Bibliography

https://rl.talis.com/3/londonmet/lists/C1B6B9C7-6627-7D8B-11F5-51C47E88695F.html?lti1p3LaunchId=lti1p3_launch_6568cb8154a726.73708084&existingResourceLinkId=false&lti1p3LinkType=resource_link-best_guess&resourceLinkSingleOption=true&login=1