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Learning outcomes |
The general objectives of the course unit are:
- To provide students with a comprehensive understanding of computing and computer graphics through digital games.
- To equip students with skills in innovation, design, and development of game engines, including their data structures and algorithms.
- To prepare students for research at the master's and doctoral levels.
Regarding the learning objectives, the student should be able to at least:
- Use a game engine to create a game.
- Build a geometric kernel for modeling 3D scenes (e.g., "wing edge data structure").
- Build a point search algorithm (e.g., "nearest neighbor") from an acceleration data structure (e.g., Kd-tree).
- Build a collision detection algorithm in 3D scenes (e.g., GJK algorithm).
- Build a pathfinding algorithm in 3D scenes (e.g., A* algorithm).
- Build a shadow generation algorithm in 3D scenes.
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Main Bibliography |
- D. Eberly. 3D Game Engine Architecture. Morgan Kaufmann Publishers, 2005.
- J. Gregory, J. Lander, and M. Whiting. Game Engine Architecture, 2nd ed., AK Peters / CRC Press, 2014.
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- M. McShaffry and D. Graham. Game Coding Complete, 4th ed., Cengage Learning PTR, 2012.
- A. Watt and F. Policarpo. 3D Games: Real-time Rendering and Software Technology (vol.1).
Addison-Wesley Publ. Company, 2000.
- A. Watt and F. Policarpo. 3D Games: Animation and Advanced Real-time Rendering (vol.2).
Addison-Wesley Publ. Company, 2003.
- T. Akenine-Moller, E. Haines, and N. Hoffmann. Real-Time Rendering, 3rd ed, . A.K. Peters / CRC Press, 2008.
- D. Eberly. Game Physics. CRC Press, 2010.
- Christer Erikson. Real-time Collision Detection. The Morgan Kaufmann Series in Interactive 3-D
Technology, CRC Press, 2004.
- Ian Millington and John Funge. Artificial Intelligence for Games. CRC Press, 2009.
- Mat Buckland. Programming Game AI by Example. Wordware Publishing Inc., 2004.
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