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Artificial Intelligence in Games (3 cr)

Code: TT00CB18-3001

General information


Enrollment

02.12.2022 - 31.01.2023

Timing

01.01.2023 - 31.07.2023

Number of ECTS credits allocated

3 op

Mode of delivery

Contact teaching

Unit

Teknologia

Teaching languages

  • Finnish

Degree programmes

  • Bachelor’s Degree in Business Information Technology

Teachers

  • Mikko Romppainen

Groups

  • TTK21SPORaa
    TTK21SPORaa

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

Evaluation scale

0 - 5

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.

Prerequisites

Data Structures and Algorithms