Back to ListAI and Game Media
Level
Intermediate, Specialised, Algorithmic, Methodological.
This topic concerns AI for interactive new media such as games.
Learning outcomes
Content /Knowledge
Students should be able to:
- Understand/describe the different creative facets of games (visuals, audio, narrative, game design, level design and gameplay).
- Students should be able to understand/describe common algorithms for procedural content generation (PCG), AI-assisted design (AIAD), as well as game analytics/data mining and affective computing for player modelling.
Methodologicalskills
Students should be able to:
- Analyse and develop (in C/C++, MATLAB or Python) the taught PCG, AIAD and player modelling algorithms, by practically applying their gained knowledge in a systematic manner.
- Evaluate and compare PCG/AIAD/player modelling algorithms, by employing common and appropriate task-specific metrics.
Transferrable/Application
Students should be able to:
- Work effectively with others in an interdisciplinary and/or international team.
- Design and manage individual projects.
- Clearly and succinctly communicate their ideas to technical audiences.
