Artificial Intelligence in Games (3 cr)
Code: KTVP062-3010
General information
- Enrollment
-
01.12.2021 - 31.01.2022
Registration for the implementation has ended.
- Timing
-
01.01.2022 - 31.07.2022
Implementation has ended.
- Number of ECTS credits allocated
- 3 cr
- Local portion
- 3 cr
- Mode of delivery
- Contact learning
- Unit
- Teknologia
- Teaching languages
- Finnish
- Degree programmes
- Bachelor’s Degree in Business Information Technology
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
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
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
Qualifications
Data Structures and Algorithms