Advanced AI in GamesLaajuus (5 cr)
Code: LTD7015
Credits
5 op
Teaching language
- Finnish
Responsible person
- Seppo Nevalainen
Objective
- You can utilize visualization and debugging strategies and tools for game AI.
- You understand the basic principles of utility-calculation based game AI reasoning and know hot to apply them in a game implementation.
- You can utilize perception and environment data as a part of game AI.
- You can design an AI architecture for a game through combination of different AI components.
Content
During the course we will familiarize ourselves with different visualization and debugging strategies and tools for game AI, utilization of perception and environment data, advanced pathfinding techniques, and utility-based AI reasoning. These techniques will be implemented also in practice as a part of a game project.
Enrollment
01.04.2024 - 30.04.2024
Timing
26.08.2024 - 20.10.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Campus
Wärtsilä Campus Karjalankatu 3
Teaching languages
- Finnish
Seats
10 - 85
Degree programmes
- Degree Programme in Business Information Technology
Teachers
- Seppo Nevalainen
Teacher in charge
Seppo Nevalainen
Groups
-
DTNS21Information Technology (BBA), Full-time Studies, Fall, 2021
Objective
- You can utilize visualization and debugging strategies and tools for game AI.
- You understand the basic principles of utility-calculation based game AI reasoning and know hot to apply them in a game implementation.
- You can utilize perception and environment data as a part of game AI.
- You can design an AI architecture for a game through combination of different AI components.
Content
During the course we will familiarize ourselves with different visualization and debugging strategies and tools for game AI, utilization of perception and environment data, advanced pathfinding techniques, and utility-based AI reasoning. These techniques will be implemented also in practice as a part of a game project.
Evaluation scale
H-5
Enrollment
01.04.2023 - 15.04.2023
Timing
28.08.2023 - 22.10.2023
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Campus
Wärtsilä Campus Karjalankatu 3
Teaching languages
- Finnish
Seats
10 - 50
Degree programmes
- Degree Programme in Business Information Technology
Teachers
- Seppo Nevalainen
Teacher in charge
Seppo Nevalainen
Groups
-
LTDNS20Information Technology (BBA), Full-time Studies, Fall, 2020
Objective
- You can utilize visualization and debugging strategies and tools for game AI.
- You understand the basic principles of utility-calculation based game AI reasoning and know hot to apply them in a game implementation.
- You can utilize perception and environment data as a part of game AI.
- You can design an AI architecture for a game through combination of different AI components.
Content
During the course we will familiarize ourselves with different visualization and debugging strategies and tools for game AI, utilization of perception and environment data, advanced pathfinding techniques, and utility-based AI reasoning. These techniques will be implemented also in practice as a part of a game project.
Evaluation scale
H-5
Enrollment
01.04.2022 - 30.04.2022
Timing
29.08.2022 - 23.10.2022
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Campus
Wärtsilä Campus Karjalankatu 3
Teaching languages
- Finnish
Seats
20 - 60
Degree programmes
- Degree Programme in Business Information Technology
Teachers
- Seppo Nevalainen
Teacher in charge
Seppo Nevalainen
Groups
-
LTDNS19Information Technology (BBA), Full-time Studies, Fall, 2019
Objective
- You can utilize visualization and debugging strategies and tools for game AI.
- You understand the basic principles of utility-calculation based game AI reasoning and know hot to apply them in a game implementation.
- You can utilize perception and environment data as a part of game AI.
- You can design an AI architecture for a game through combination of different AI components.
Content
During the course we will familiarize ourselves with different visualization and debugging strategies and tools for game AI, utilization of perception and environment data, advanced pathfinding techniques, and utility-based AI reasoning. These techniques will be implemented also in practice as a part of a game project.
Evaluation scale
H-5