Artificial Intelligence in Games (3 op)
Toteutuksen tunnus: TT00CB18-3005
Toteutuksen perustiedot
Ilmoittautumisaika
30.12.2024 - 26.01.2025
Ajoitus
01.01.2025 - 31.07.2025
Opintopistemäärä
3 op
Toteutustapa
Lähiopetus
Yksikkö
Teknologia
Opetuskielet
- Suomi
Koulutus
- Tietojenkäsittelyn koulutus
Opettaja
- Mikko Romppainen
Ryhmät
-
TTK23SPOTTK23SPO
-
TTK23SPTTK23SP
- 07.01.2025 08:30 - 11:45, Artificial Intelligence in Games TT00CB18-3005
- 14.01.2025 08:30 - 11:45, Artificial Intelligence in Games TT00CB18-3005
- 21.01.2025 08:30 - 11:45, Artificial Intelligence in Games TT00CB18-3005
- 28.01.2025 08:30 - 11:45, Artificial Intelligence in Games TT00CB18-3005
- 04.02.2025 08:30 - 11:45, Artificial Intelligence in Games TT00CB18-3005
- 11.02.2025 08:30 - 11:45, Artificial Intelligence in Games TT00CB18-3005
- 18.02.2025 08:30 - 11:45, Artificial Intelligence in Games TT00CB18-3005
- 25.02.2025 08:30 - 11:45, Artificial Intelligence in Games TT00CB18-3005
- 11.03.2025 08:30 - 11:45, Artificial Intelligence in Games TT00CB18-3005
- 24.03.2025 08:30 - 11:45, Artificial Intelligence in Games TT00CB18-3005
- 07.04.2025 08:30 - 11:45, Artificial Intelligence in Games TT00CB18-3005
- 14.04.2025 08:30 - 11:45, Artificial Intelligence in Games TT00CB18-3005
- 28.04.2025 08:30 - 11:45, Artificial Intelligence in Games TT00CB18-3005
- 05.05.2025 08:30 - 11:45, Artificial Intelligence in Games TT00CB18-3005
- 12.05.2025 08:30 - 11:45, Artificial Intelligence in Games TT00CB18-3005
- 27.05.2025 08:30 - 11:45, Artificial Intelligence in Games TT00CB18-3005
Tavoitteet
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.
Sisältö
Introduction to game AI
Finite state machines
Path finding
Game genre specific AI techniques
Learning AI
Distributed AI, Team AI and crowd techniques
Arviointiasteikko
0 - 5
Arviointikriteerit, kiitettävä (5)
The students are able to apply their learning to different tasks in a variety of ways.
Arviointikriteerit, hyvä (3)
The students are able to use the methods they learn during the course appropriately.
Arviointikriteerit, tyydyttävä (1)
The students know and are proficient in the basic concepts of the course.
Esitietovaatimukset
Data Structures and Algorithms