MTH 432 - Probability Models

[3 credit(s)]

Prerequisite: A grade of “C” or better in MTH 286 and MTH 288, and a 300-level mathematics course, or permission by instructor. This course is an introduction to probability models. Course topics include: introduction to probability, Markov Chains in discrete and continuous time, including Poisson processes, and selected applications, such as Renewal Theory, Queueing Theory, Reliability, Brownian Motion, Simulation and Matrix Analytic Methods.

Semesters Offered: Every Spring

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