Artificial Intelligence in GamesLaajuus (3 cr)
Code: TT00CB18
Credits
3 op
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
Qualifications
Data Structures and Algorithms
Arviointikriteerit, kiitettävä (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.
Arviointikriteerit, tyydyttävä (1)
The students know and are proficient in the basic concepts of the course.
Enrollment
01.12.2023 - 31.01.2024
Timing
01.01.2024 - 31.07.2024
Number of ECTS credits allocated
3 op
Mode of delivery
Contact teaching
Unit
Teknologia
Teaching languages
- English
Degree programmes
- Bachelor’s Degree in Business Information Technology
Teachers
- Mikko Romppainen
Groups
-
TTK22SPOTTK22SPO
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
Arviointikriteerit, kiitettävä (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.
Arviointikriteerit, tyydyttävä (1)
The students know and are proficient in the basic concepts of the course.
Qualifications
Data Structures and Algorithms
Enrollment
01.12.2023 - 31.01.2024
Timing
01.01.2024 - 31.07.2024
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
-
TTK22SPORaaheTTK22SPORaahe
-
TTK22SPRaaheTTK22SPRaahe
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
Arviointikriteerit, kiitettävä (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.
Arviointikriteerit, tyydyttävä (1)
The students know and are proficient in the basic concepts of the course.
Qualifications
Data Structures and Algorithms
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
-
TTK21SPORaaTTK21SPORaa
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
Arviointikriteerit, kiitettävä (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.
Arviointikriteerit, tyydyttävä (1)
The students know and are proficient in the basic concepts of the course.
Qualifications
Data Structures and Algorithms
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
- English
- Finnish
Degree programmes
- Bachelor’s Degree in Business Information Technology
Teachers
- Mikko Romppainen
Groups
-
TTK21SPOTTK21SPO
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
Arviointikriteerit, kiitettävä (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.
Arviointikriteerit, tyydyttävä (1)
The students know and are proficient in the basic concepts of the course.
Qualifications
Data Structures and Algorithms