Skip to main content

Artificial Intelligence in Games (3cr)

Code: TTAP012-3012

General information


Enrollment
30.12.2025 - 26.01.2026
Registration for the implementation has begun.
Timing
01.01.2026 - 31.07.2026
Implementation is running.
Number of ECTS credits allocated
3 cr
Unit
Teknologia
Teaching languages
Finnish
Degree programmes
Bachelor’s Degree in Information and Communication Technology
Teachers
Mikko Romppainen
Groups
TTV24SP
TTV24SP
Course
TTAP012

Realization has 8 reservations. Total duration of reservations is 26 h 0 min.

Time Topic Location
Tue 13.01.2026 time 08:30 - 11:45
(3 h 15 min)
Pelien tekoäly TTAP012-3012
TA11L151 TA11L151
Tue 20.01.2026 time 08:30 - 11:45
(3 h 15 min)
Pelien tekoäly TTAP012-3012
TA11L151 TA11L151
Tue 27.01.2026 time 08:30 - 11:45
(3 h 15 min)
Pelien tekoäly TTAP012-3012
TA11L151 TA11L151
Tue 03.02.2026 time 08:30 - 11:45
(3 h 15 min)
Pelien tekoäly TTAP012-3012
TA11L151 TA11L151
Tue 10.02.2026 time 08:30 - 11:45
(3 h 15 min)
Pelien tekoäly TTAP012-3012
TA11L151 TA11L151
Tue 17.02.2026 time 08:30 - 11:45
(3 h 15 min)
Pelien tekoäly TTAP012-3012
TA11L151 TA11L151
Tue 24.02.2026 time 08:30 - 11:45
(3 h 15 min)
Pelien tekoäly TTAP012-3012
TA11L151 TA11L151
Tue 10.03.2026 time 08:30 - 11:45
(3 h 15 min)
Pelien tekoäly TTAP012-3012
TA11L151 TA11L151
Changes to reservations may be possible.

Evaluation scale

0 - 5

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

Assessment criteria, satisfactory (1)

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

Assessment criteria, good (3)

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

Assessment criteria, excellent (5)

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

Qualifications

Data Structures and Algorithms

Go back to top of page