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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

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.

en
Enrollment

30.12.2024 - 26.01.2025

Timing

01.01.2025 - 31.07.2025

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
  • TTK23SPO
    TTK23SPO
  • TTK23SP
    TTK23SP

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

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

en
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
  • TTK22SPO
    TTK22SPO

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

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

en
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
  • TTK22SPORaahe
    TTK22SPORaahe
  • TTK22SPRaahe
    TTK22SPRaahe

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

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

en
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
  • TTK21SPORaa
    TTK21SPORaa

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

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

en
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
  • TTK21SPO
    TTK21SPO

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

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