Artificial Intelligence in Games
Course description sheet
Basic information
- Field of study
- Designing Virtual Spaces and Games
- Major
- -
- Organisational unit
- Faculty of Computer Science
- Study level
- First-cycle studies
- Form of study
- Full-time studies
- Profile
- General academic
- Didactic cycle
- 2025/2026
- Course code
- WIPPWGS.I8.16922.25
- Lecture languages
- Polish
- Mandatoriness
- Obligatory
- Block
- Core Modules
- Course related to scientific research
- No
Lecturer
Bartłomiej Śnieżyński
|
Period
Semester 4
|
Method of verification of the learning outcomes
Exam
Activities and hours
Lectures:
28
|
Number of ECTS credits
2
|
Goals
| C1 | Omowienie metod sztucznej inteligencji mających zastosowania w tworzeniu gier komputerowych |
Course's learning outcomes
| Code | Outcomes in terms of | Learning outcomes prescribed to a field of study | Methods of verification |
| Knowledge – Student knows and understands: | |||
| W1 | Student zna i rozumie podstawowe pojęcia sztucznej inteligencji mające zastosowania w tworzeniu gier | PPWG1A_W01 | Activity during classes, Test, Examination |
| W2 | Student zna i rozumie podstawy uczenia maszynowego w zastosowaniu do gier. | PPWG1A_W01 | Activity during classes, Test, Examination |
| Skills – Student can: | |||
| U1 | Student potrafi wybrać i zastosować odpowiednie techniki sztucznej inteligencji do osiągnięcia zamierzonych celów. | PPWG1A_U01 | Activity during classes, Test, Examination |
| Social competences – Student is ready to: | |||
| K1 | Student rozumie wpływ gier, a zwłaszcza sztucznej inteligencji w grach na różne zachowania społeczne i potrafi je ocenić. | PPWG1A_K01, PPWG1A_K03 | Activity during classes |
Program content ensuring the achievement of the learning outcomes prescribed to the module
Metody sztucznej inteligencji mające zastosownania w tworzeniu gier: algorytmy oparte na przeszukiwaniu, algorytmy podejmowania decyzji, algorytmy agentowe, metody przetwarzania języka naturalnego, algorytmy ewolucyjne, algorytmy rojowe, uczenie ze wzmocnieniem.
Student workload
| Activity form | Average amount of hours* needed to complete each activity form | |
| Lectures | 28 | |
| Realization of independently performed tasks | 20 | |
| Preparation for classes | 10 | |
| Examination or final test/colloquium | 2 | |
| Student workload |
Hours
60
|
|
| Workload involving teacher |
Hours
28
|
|
* hour means 45 minutes
Program content
| No. | Program content | Course's learning outcomes | Activities |
| 1. |
|
W1, W2, U1, K1 | Lectures |
Extended information/Additional elements
Teaching methods and techniques :
Lecture, E-learning
| Activities | Methods of verification | Credit conditions |
|---|---|---|
| Lectures | Activity during classes, Test, Examination |
Method of determining the final grade
Ocena końcowa będzie równa ocenie z kolokwium traktowanego jak egzamin i pisanego na koniec semestru.
Literature
Obligatory- 1. P. Norvig, S. Russell, Artificial Intelligence: A Modern Approach (4th Ed.), Pearson, 2021
- Ian Millington, AI for Games, 3rd Edition, CRC Press, 2019