Artificial Intelligence for Games

COS30002 12.5 Credit Points Hawthorn Available to incoming Study Abroad and Exchange students

Duration

  • One Semester or equivalent

Contact hours

  • 24 hours face to face + blended

On-campus unit delivery combines face-to-face and digital learning.

2024 teaching periods

Hawthorn

Higher Ed. Semester 1

Dates:
26 Feb 24 - 26 May 24

Results:
2 Jul 24

Last self enrolment:
10 Mar 24

Census:
31 Mar 24

Last withdraw without fail:
12 Apr 24

Prerequisites

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Aims and objectives

The aim of this unit is for students to understand and utilise artificial intelligence concepts and techniques for game environments and game development.


Unit Learning Outcomes (ULO)
Students who successfully complete this unit will be able to:

1. Discuss and implement software development techniques to support the creation of AI behaviour in games
2. Understand and utilise a variety of graph and path planning techniques
3. Create realistic movement for agents using steering force models
4. Create agents that are capable of planning actions in order to achieve goals
5. Combine AI techniques to create more advanced game AI