Artificial Intelligence in GamesLaajuus (3 cr)

Objective

Students will have basic knowledge of different AI techniques used in games. Students will be able to select and implement specific AI techniques required in a game.

Content

Introduction to game AI
Finite state machines
Path finding
Game genre specific AI techniques
Learning AI
Distributed AI, Team AI and crowd techniques

Assessment criteria, excellent (5)

The students are able to apply their learning to different tasks in a variety of ways.

Assessment criteria, good (3)

The students are able to use the methods they learn during the course appropriately.

Assessment criteria, satisfactory (1)

The students know and are proficient in the basic concepts of the course.

Accomplishment methods

Harjoitustehtävät + Harjoitustyö. Kurssin harjoitustyö tehdään Game Programming 2 -kurssin harjoitustyön yhteyteen.