TNM114 · 6 credits · Advanced level (A1N) · Informationsteknologi, Datateknik, Datavetenskap, Medieteknik

Artificial Intelligence for Interactive Media, Project

Active · next start HT 2026

100%

passed the latest regular sitting

PRA1 · 21 Nov 2025 · 9 students

100%

passed the regular sittings, all sittings over the last 5 years

PRA1 · 47 students

This module only reports passing results, so the pass rate does not show how many did not pass.

Part of 5 programmes

Master of Science in Computer Science and Engineeringsemester 9 · period 1 · elective
Master of Science in Information Technologysemester 9 · period 1 · elective
Master of Science in Media Technology and Engineeringsemester 9 · period 1 · elective
Master of Science in Computer Science and Software Engineeringsemester 9 · period 1 · elective
Master's Programme in Computer Sciencesemester 3 · period 1 · elective

Hand-in or lab

PRA1 Project work

Main rounds

100% passed · 47 students

21 Nov 2025100%9

18 Nov 2024100%28
17 Nov 2023100%5
2 Nov 2023100%5

Later rounds

100% passed · 5 students

21 Dec 2023100%5

Pass a later round: 100% (5 students), compared with 100% (47 students) on the ordinary exam

Show small sittings (36)

Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.

19 Aug 2026100%2
9 Mar 2026100%1
11 Feb 2026100%1
16 Jan 2026100%3
14 Jan 2026100%2
12 Jan 2026100%2
19 Dec 2025100%1
17 Dec 2025100%3
12 Dec 2025100%3
11 Dec 2025100%1
5 Dec 2025100%2
3 Dec 2025100%2
25 Nov 2025100%3
20 Nov 2025100%1
19 Nov 2025100%2
17 Nov 2025100%4
8 Aug 2025100%1
4 Feb 2025100%2
16 Jan 2025100%1
10 Jan 2025100%2
9 Jan 2025100%3
3 Jan 2025100%2
27 Dec 2024100%1
20 Dec 2024100%4
31 Oct 2024100%1
22 Jan 2024100%2
19 Jan 2024100%1
15 Dec 2023100%2
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6 Dec 2023100%1
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21 Nov 2023100%1
20 Nov 2023100%4
15 Nov 2023100%2
18 Oct 2023100%1

About the course

Aim

This course focuses on describing artificial intelligence techniques that can be employed for interactive media. After the course the student will be able to

explain and discuss artificial intelligence concepts for interactive media applications in a critical way and
select, apply and evaluate some of the presented artificial intelligence techniques in a project work

Content

Intelligent methods of exploring virtual worlds
Artificial Life for Virtual Worlds
AI techniques to build virtual worlds
Behavioral animation
Machine learning; reinforcement learning, decision trees
Deep learning
Natural language processing
Virtual assistants - Chatbots
Generative AI
Genetic Algorithms
Swarm Intelligence
Emotion-based decision making

Examiner: Pierangelo Dellacqua
Scheduled hours: 12 h
Main field of study: Informationsteknologi, Datateknik, Datavetenskap, Medieteknik

Syllabus on Studieinfo ↗