MATH 398 - Stochastic Processes

This course demonstrates how probability theory can be applied to the study of random phenomena in fields such as engineering, computer science, management science, the physical and social sciences, and operations research. The course covers random processes including Markov chains, random walks, branching processes, and Poisson processes. Additional application areas may be chosen from queueing theory, Brownian motion, reliability theory, finance and asset pricing, and simulation.

Prerequisites
MATH 241 or permission of instructor

Credits 4

Notes
From time to time, departments design a new course to be offered either on a one-time basis or an experimental basis before deciding whether to make it a regular part of the curriculum.