STAT 344 - Stochastic Processes

Credits: 3
This course focuses on the modeling and analysis of stochastic processes arising from a wide range of applications. Topics include discrete‐time Markov chains, Poisson processes, continuous‐time Markov chains, queueing theory, and decision theory.

Prerequisite(s): a linear algebra course (MATH 260 or MATH 264) and a statistics course (one of STAT 140, STAT 240, BUS 205, PSY 201, or CE 202).