CMOR 350 - STOCHASTIC MODELS
Long Title: STOCHASTIC MODELS
Department: Comp Appl Math Operations Rsch
Grade Mode: Standard Letter
Language of Instruction: Taught in English
Course Type: Lecture
Credit Hours: 3
Restrictions: Must be enrolled in one of the following Level(s):
Undergraduate Professional
Visiting Undergraduate
Undergraduate
Prerequisite(s): ECON 307 OR STAT 310 OR STAT 311 OR STAT 315
Description: 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)