TSBK03 · 6 credits · Advanced level (A1N) · Informationsteknologi, Datateknik, Datavetenskap, Medieteknik

Advanced Game Programming

Active · next start HT 2026

100%

passed the latest regular sitting

LAB1 · 15 Oct 2026 · 5 students

100%

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

LAB1 · 88 students

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

Hand-in or lab

LAB1 Laboratory work with tests

Main rounds

100% passed · 88 students

15 Oct 2026100%5

1 Oct 2026100%8
16 Oct 2025100%6
2 Oct 2025100%10
17 Oct 2024100%5
10 Oct 2024100%8
3 Oct 2024100%8
12 Oct 2023100%18
28 Sep 2023100%9
13 Oct 2022100%11

Later rounds

No sittings with at least 5 students.

Show small sittings (17)

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

8 Oct 2026100%2
7 Jan 2026100%1
4 Dec 2025100%2
27 Nov 2025100%1
9 Oct 2025100%3
25 Sep 2025100%1
6 Dec 2024100%1
7 Nov 2024100%2
26 Sep 2024100%2
5 Oct 2023100%3
14 Sep 2023100%2
18 Aug 2023100%2
24 Nov 2022100%1
6 Oct 2022100%3
30 Sep 2022100%3
9 Dec 2021100%2
17 Nov 2021100%1

Other modules

Partial exams, hand-ins and labs. They are not part of the figures at the top.

Hand-in or lab

PRA1 Project

Main rounds

100% passed · 109 students

1 Jan 2026100%23
15 Jan 2025100%22
1 Jan 2024100%22
1 Jan 2023100%16
1 Jan 2022100%26

Later rounds

No sittings with at least 5 students.

Get 4 or 5: 87% (109 students)

Show small sittings (10)

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

8 Sep 2026100%1
1 Apr 2026100%1
23 Sep 2025100%1
31 Dec 2024100%2
5 Jul 2024100%1
31 May 2024100%1
10 May 2024100%2
28 Apr 2024100%1
16 May 2023100%2
10 Jan 2023100%1

Who takes the course?

About the course

Aim

When you have taken the course, you should be able to

Goal 1: describe current methods for advanced computer graphics, animation, physics and artificial intelligence relevant to games and similar applications

Goal 2: Explain the basics of parallel programming with a GPU

Goal 3: implement a selection of the above methods

Goal 4: formulate and implement a course-relevant project at an advanced level, which should be able to be related to significant publications, and for the highest grades should be based on current research

Content

The course aims to provide knowledge of the technology required forto make technologically advanced computer games, interactivetraining systems and simulators. Students learn thekey algorithms, and study a chosen subject deeper in a project.

Computer Graphics: Stencil buffer. Shadows. HDR. Bump mapping. Stereoscopic display. Physics: Kinetics and kinematics. Rigid bodies. Deformable bodies. Animation. Skinning. AI: Search, behavior, state machines. Networks: Principles for network games. Netlag. Other: Quaternions for rotation. GPU computing.

Examiner: Ingemar Ragnemalm
Scheduled hours: 48 h
Main field of study: Informationsteknologi, Datateknik, Datavetenskap, Medieteknik

Syllabus on Studieinfo ↗