Artificial Intelligence in Games (3 cr)
Code: TTAP012-3012
General information
- Enrollment
-
02.12.2025 - 31.12.2025
Registration for introductions has not started yet.
- Timing
-
01.01.2026 - 31.07.2026
The implementation has not yet started.
- Number of ECTS credits allocated
- 3 cr
- Local portion
- 3 cr
- Mode of delivery
- Blended learning
- Unit
- Teknologia
- Teaching languages
- Finnish
- Degree programmes
- Bachelor’s Degree in Information and Communication Technology
Evaluation scale
0 - 5
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
Distributed AI and crowd techniques
Situation calculus and desision making architectures
Learning AI
Assessment criteria, satisfactory (1)
The students are familiar with and proficient in the basic concepts of the course.
Assessment criteria, good (3)
The students are able to use methods they have learnt during the course as required.
Assessment criteria, excellent (5)
The students are able to apply their learning in variety of ways to different types of tasks.
Qualifications
Data Structures and Algorithms