CMPM265: Generative Methods

In-depth exploration of algorithms for the automated generation of 2D and 3D models and content. Covers multiple approaches, including noise, grammars, genetic algorithms and programming, parametric design, and answer-set programming. Includes application of techniques to computer-game content and level design. (Formerly Computer Science 265.) Enrollment restricted to graduate students.

5 credits

Year Fall Winter Spring Summer

Previously CMPS 265

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