3units Introductory course in stochastic processes and their applications. The course will cover random walks, discrete time Markov chains, the Poisson process, continuous time Markov processes, renewal theory and queuing theory.
Prerequisite(s):MATH 39 and MATH 163 (each with a grade of “B” or better). Grading: Graded