ISYE 6832
Simulation Theory and Methods
Theory, algorithms, and applications of computer simulation. Topics include generalized semi-Markov processes; input-output analysis; random number, variate, and sample path generation; variance reduction techniques; and optimization via simulation. This course is intended for Ph.D. students.
Topics
- generalized semi-Markov processes
- input-output analysis
- random number
- variate
- and sample path generation
- variance reduction techniques
- and optimization via simulation
Topics explicitly listed in official catalogue description
Sources
- Course catalogue ↗2026-2027