INDE 572
STOCHASTIC PROCESSES AND SIMULATION
Topics include Markov chains, renewal processes, queueing theory, statistical quality control, discrete-event simulation, random number generators, Monte Carlo methods, resampling methods, Markov Chain Monte Carlo, importance sampling and simulation based estimation for stochastic processes.
Prerequisites & course information
Short Title: STOCH PROCESSES & SIMULATION Department: Industrial Engineering Grade Mode: Standard Letter Course Type: Lecture Credit Hours: 3 Restrictions: Enrollment is limited to Graduate level students. Course Level: Graduate Prerequisite(s): INDE 571
Sources
- Course catalogue ↗2026–2027