STOCHASTIC MODELS
Fundamentals of stochastic modeling in engineering and operations research. Topics include discrete-time Markov chains, Poisson processes, birth-and-death processes and other continuous-time Markov chains, renewal processes, with applications in applications in queueing, inventory, finance, healthcare, and epidemics. Recommended Prerequisite(s): MATH 212 and (CAAM 210 or CMOR 220 or COMP 140 ) and (CAAM 335 or CMOR 302 or MATH 355 )
Prerequisites & course information
Short Title: STOCHASTIC MODELS Department: Comp Appl Math Operations Rsch Grade Mode: Standard Letter Course Type: Lecture Distribution Group: Distribution Group III Credit Hours: 3 Restrictions: Enrollment is limited to Undergraduate, Undergraduate Professional or Visiting Undergraduate level students. Course Level: Undergraduate Upper-Level Prerequisite(s): ECON 307 or STAT 310 or STAT 311 or STAT 315
Sources
- Course catalogue ↗2026–2027