MATH 620

Stochastic Processes

4 Graduate credits
Effective May 7, 2016 – Present

Graduation requirements this course fulfills

This course will introduce the definitions, theories and applications of different stochastic processes. Topics include Markov chains, Poisson processes, renewal processes, continuous time Markov chains and Martingales.

Learning outcomes


  • Understand the stochastic processes in the areas of biology, ecology, finance and engineering
  • Calculate probabilities related to the stochastic processes
  • Construct stochastic models using the stochastic processes