MATH 420: Stochastic Processes

MATH Department University of Michigan-Dearborn

Course Description

Review of distribution theory. Introduction to stochastic processes, Markov chains and Markov processes, counting, and Poisson and Gaussian processes. A grade of C- or better is required in the prerequisite. Students cannot receive credit for bothMATH 420andMATH 520. (OC).

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