Module Descriptors
GAME ARTIFICIAL INTELLIGENCE
COSE70599
Key Facts
Digital, Technology, Innovation and Business
Level 7
15 credits
Contact
Leader: Paul Roberts
Email: Paul.Roberts@staffs.ac.uk
Hours of Study
Scheduled Learning and Teaching Activities: 36
Independent Study Hours: 114
Total Learning Hours: 150
Assessment
- ASSIGNMENT weighted at 100%
Module Details
Module Indicative Content
Current AI techniques pertaining to:
Navigation and motion
Game theory
Neural networks
Genetic algorithms
Finite state machines
Intelligent agents / Non Player Characters (flocking, crowd scenes, path finding, etc.)
Graph theory
Search algorithms
Navigation and planning
Reality and illusion of artificial intelligence
Navigation and motion
Game theory
Neural networks
Genetic algorithms
Finite state machines
Intelligent agents / Non Player Characters (flocking, crowd scenes, path finding, etc.)
Graph theory
Search algorithms
Navigation and planning
Reality and illusion of artificial intelligence
Module Additional Assessment Details
ASSIGNMENT weighted at 100%; Research and implement advanced AI techniques (Learning outcomes 1, 2, 3, and 4)
Module Learning Strategies
12 lectures presenting key topics and concepts.
24 supervised practical sessions.
24 supervised practical sessions.
Module Texts
AI Game Engine Programming. Schwab, B. (2009). Delmar ISBN-13: 978-1584505723
AI Game Programming Wisdom. Rabin (ed.). (Series, 2002-present). Charles River Media ISBN-13: 978-1584505235
Programming Game AI by Example. Buckland, M. (2004). Jones & Bartlett ISBN-13: 978-1556220784
AI Game Programming Wisdom. Rabin (ed.). (Series, 2002-present). Charles River Media ISBN-13: 978-1584505235
Programming Game AI by Example. Buckland, M. (2004). Jones & Bartlett ISBN-13: 978-1556220784
Module Resources
Visual Studio 2010 or Above
Module Special Admissions Requirements
None