Universität Wien FIND
Warning! The directory is not yet complete and will be amended until the beginning of the term.

052212 VU Gaming Technologies (2018W)

Continuous assessment of course work

Details

max. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Thursday 04.10. 13:15 - 14:45 PC-Unterrichtsraum 4, Währinger Straße 29 1.OG
Thursday 11.10. 13:15 - 14:45 PC-Unterrichtsraum 4, Währinger Straße 29 1.OG
Thursday 18.10. 13:15 - 14:45 PC-Unterrichtsraum 4, Währinger Straße 29 1.OG
Thursday 25.10. 13:15 - 14:45 PC-Unterrichtsraum 4, Währinger Straße 29 1.OG
Thursday 08.11. 13:15 - 14:45 PC-Unterrichtsraum 4, Währinger Straße 29 1.OG
Thursday 15.11. 13:15 - 14:45 PC-Unterrichtsraum 4, Währinger Straße 29 1.OG
Thursday 22.11. 13:15 - 14:45 PC-Unterrichtsraum 4, Währinger Straße 29 1.OG
Thursday 29.11. 13:15 - 14:45 PC-Unterrichtsraum 4, Währinger Straße 29 1.OG
Thursday 06.12. 13:15 - 14:45 PC-Unterrichtsraum 4, Währinger Straße 29 1.OG
Thursday 13.12. 13:15 - 14:45 PC-Unterrichtsraum 4, Währinger Straße 29 1.OG
Thursday 10.01. 13:15 - 14:45 PC-Unterrichtsraum 4, Währinger Straße 29 1.OG
Thursday 17.01. 13:15 - 14:45 PC-Unterrichtsraum 4, Währinger Straße 29 1.OG
Thursday 24.01. 13:15 - 14:45 PC-Unterrichtsraum 4, Währinger Straße 29 1.OG
Thursday 31.01. 13:15 - 14:45 PC-Unterrichtsraum 4, Währinger Straße 29 1.OG

Information

Aims, contents and method of the course

Basics of real-time physics engines and AI engines for computer games. Weekly tasks and the game project are implemented using a game engine.

Assessment and permitted materials

Weekly tasks and a semester project.

Minimum requirements and assessment criteria

Basi knowledge in programming. Final grading is computed according to:
--All individual tasks and the semester project are graded
--Final grading is due to weighted sum S of gradings of weekly tasks and game
--Individual tasks have an overall weight of 70%
--Final computer game has a weight of 30%, must be shown to instructor in person!
--Positive ONLY if computer game works!
--Final grading due to weighted sum S:
S>90% : Sehr Gut (1)
S>80% : Gut (2)
S>70% : Befriedigend (3)
S>59% : Genügend (4)
S<60% Nicht Genügend (5)

Examination topics

Game physics: rigid body physics,, collision detection and response
Game AI: movement, path finding, decision making

Reading list

David H. Eberly, Game Physics, CRC Press; 2 edition (April 5, 2010)
Christer Ericson, Real-Time Collision Detection, CRC Press (December 22, 2004)

Association in the course directory

Module: GD2 GAT

Last modified: We 20.03.2019 21:47