Warning! The directory is not yet complete and will be amended until the beginning of the term.
052212 VU Gaming Technologies (2021W)
Continuous assessment of course work
Labels
REMOTE
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Mo 13.09.2021 09:00 to Mo 20.09.2021 09:00
- Deregistration possible until Th 14.10.2021 23:59
Details
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Thursday 07.10. 11:30 - 14:45 Digital
- Thursday 14.10. 11:30 - 14:45 Digital
- Thursday 21.10. 11:30 - 14:45 Digital
- Thursday 28.10. 11:30 - 14:45 Digital
- Thursday 04.11. 11:30 - 14:45 Digital
- Thursday 11.11. 11:30 - 14:45 Digital
- Thursday 18.11. 11:30 - 14:45 Digital
- Thursday 25.11. 11:30 - 14:45 Digital
- Thursday 02.12. 11:30 - 14:45 Digital
- Thursday 09.12. 11:30 - 14:45 Digital
- Thursday 16.12. 11:30 - 14:45 Digital
- Thursday 13.01. 11:30 - 14:45 Digital
- Thursday 20.01. 11:30 - 14:45 Digital
- Thursday 27.01. 11:30 - 14:45 Digital
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)
--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
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)
Ian Millington, AI for Games (3rd Edition), CRC Press, 2019
Christer Ericson, Real-Time Collision Detection, CRC Press (December 22, 2004)
Ian Millington, AI for Games (3rd Edition), CRC Press, 2019
Association in the course directory
Module: GD2 GAT
Last modified: Fr 12.05.2023 00:13