MS&E 221
Stochastic Modeling
Focus is on time-dependent random phenomena. Topics: discrete time Markov chains, Markov jump processes, queueing theory, and applications. Emphasis on model-building, computation, and related calibration and statistical issues.
Topics
- discrete time Markov chains
- Markov jump processes
- queueing theory
- and applications
Topics explicitly listed in official catalogue description
Sources
- Course catalogue ↗2026-2027