MATH 452 - Introduction to Stochastic Processes

(3.00)

This is a non-measure theoretic course. Topics include general Markov chains (branching process, queuing processes, birth and death processes, and Poisson processes), second-order processes (Gaussian processes and Wiener processes) and an introduction to stochastic differential equations.

Course ID: 55256
Consent: No Special Consent Required
Components: Lecture
Requirement Group: You must have completed STAT 355 or STAT 451 with a grade of “C” or better before you can take this course.