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Artificial Intelligence in GamesLaajuus (3 cr)

Code: TTAP012

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
Distributed AI and crowd techniques
Situation calculus and desision making architectures
Learning AI

Qualifications

Data Structures and Algorithms

Arviointikriteerit, kiitettävä (5)

The students are able to apply their learning in variety of ways to different types of tasks.

Assessment criteria, good (3)

The students are able to use methods they have learnt during the course as required.

Arviointikriteerit, tyydyttävä (1)

The students are familiar with and proficient in the basic concepts of the course.

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 Information and Communication Technology
Teachers
  • Mikko Romppainen
Groups
  • TTV22SP
    TTV22SP

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
Distributed AI and crowd techniques
Situation calculus and desision making architectures
Learning AI

Evaluation scale

0 - 5

Arviointikriteerit, kiitettävä (5)

The students are able to apply their learning in variety of ways to different types of tasks.

Assessment criteria, good (3)

The students are able to use methods they have learnt during the course as required.

Arviointikriteerit, tyydyttävä (1)

The students are familiar with and proficient in the basic concepts of the course.

Qualifications

Data Structures and Algorithms

en
Enrollment

01.08.2023 - 30.09.2023

Timing

01.08.2023 - 31.12.2023

Number of ECTS credits allocated

3 op

Mode of delivery

Contact teaching

Unit

Teknologia

Teaching languages
  • Finnish
Degree programmes
  • Bachelor’s Degree in Information and Communication Technology
Teachers
  • Mikko Romppainen
Groups
  • TTV21SP
    TTV21SP

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
Distributed AI and crowd techniques
Situation calculus and desision making architectures
Learning AI

Evaluation scale

0 - 5

Arviointikriteerit, kiitettävä (5)

The students are able to apply their learning in variety of ways to different types of tasks.

Assessment criteria, good (3)

The students are able to use methods they have learnt during the course as required.

Arviointikriteerit, tyydyttävä (1)

The students are familiar with and proficient in the basic concepts of the course.

Qualifications

Data Structures and Algorithms

en
Enrollment

01.08.2022 - 30.09.2022

Timing

01.08.2022 - 31.12.2022

Number of ECTS credits allocated

3 op

Mode of delivery

Contact teaching

Unit

Teknologia

Teaching languages
  • Finnish
Degree programmes
  • Bachelor’s Degree in Information and Communication Technology
Teachers
  • Mikko Romppainen
Groups
  • TTV20SP
    TTV20SP

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
Distributed AI and crowd techniques
Situation calculus and desision making architectures
Learning AI

Evaluation scale

0 - 5

Arviointikriteerit, kiitettävä (5)

The students are able to apply their learning in variety of ways to different types of tasks.

Assessment criteria, good (3)

The students are able to use methods they have learnt during the course as required.

Arviointikriteerit, tyydyttävä (1)

The students are familiar with and proficient in the basic concepts of the course.

Qualifications

Data Structures and Algorithms