Artificial Intelligence in GamesLaajuus (3 op)
Tunnus: KTVP062
Laajuus
3 op
Osaamistavoitteet
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
Distributed AI and crowd techniques
Situation calculus and desision making architectures
Learning AI
Esitietovaatimukset
Data Structures and Algorithms
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.
Ilmoittautumisaika
02.12.2021 - 31.01.2022
Ajoitus
01.01.2022 - 31.07.2022
Opintopistemäärä
3 op
Toteutustapa
Lähiopetus
Yksikkö
Teknologia
Opetuskielet
- Suomi
Koulutus
- Tietojenkäsittelyn koulutus
Opettaja
- Mikko Romppainen
Ryhmät
-
TTK20SPRaaheTTK20SPRaahe
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
Distributed AI and crowd techniques
Situation calculus and desision making architectures
Learning AI
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
Ilmoittautumisaika
01.12.2021 - 31.01.2022
Ajoitus
01.01.2022 - 31.07.2022
Opintopistemäärä
3 op
Toteutustapa
Lähiopetus
Yksikkö
Teknologia
Opetuskielet
- Suomi
Koulutus
- Tietojenkäsittelyn koulutus
Opettaja
- Mikko Romppainen
Ryhmät
-
TTK20SPOTTK20SPO
-
TTK20SPTTK20SP
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
Distributed AI and crowd techniques
Situation calculus and desision making architectures
Learning AI
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