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Artificial Intelligence in Games (3 cr)

Code: TTAP012-3010

General information


Enrollment
01.12.2023 - 31.01.2024
Registration for the implementation has ended.
Timing
01.01.2024 - 31.07.2024
Implementation has ended.
Number of ECTS credits allocated
3 cr
Local portion
3 cr
Mode of delivery
Contact learning
Unit
Teknologia
Teaching languages
Finnish
Degree programmes
Bachelor’s Degree in Information and Communication Technology
Teachers
Mikko Romppainen
Groups
TTV22SP
TTV22SP
Course
TTAP012

Realization has 7 reservations. Total duration of reservations is 24 h 30 min.

Time Topic Location
Wed 10.04.2024 time 12:30 - 16:00
(3 h 30 min)
Pelien tekoäly TTAP012-3010
TA11L151 TA11L151
Wed 17.04.2024 time 12:30 - 16:00
(3 h 30 min)
Pelien tekoäly TTAP012-3010
TA11L151 TA11L151
Wed 24.04.2024 time 12:30 - 16:00
(3 h 30 min)
Pelien tekoäly TTAP012-3010
TA11L151 TA11L151
Tue 30.04.2024 time 08:15 - 11:45
(3 h 30 min)
Pelien tekoäly TTAP012-3010
TA11L141 pelilabra TA11L141 pelilabra
Wed 08.05.2024 time 12:30 - 16:00
(3 h 30 min)
Pelien tekoäly TTAP012-3010
TA11L151 TA11L151
Wed 15.05.2024 time 12:30 - 16:00
(3 h 30 min)
Pelien tekoäly TTAP012-3010
TA11L151 TA11L151
Wed 22.05.2024 time 12:30 - 16:00
(3 h 30 min)
Pelien tekoäly TTAP012-3010
TA11L151 TA11L151
Changes to reservations may be possible.

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

Assessment criteria, excellent (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.

Assessment criteria, satisfactory (1)

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

Prerequisites

Data Structures and Algorithms

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