Introduction to Stochastic Processes
** available as of 06/15/2026
** available as of 06/15/2026
Prerequisites: (STAT 203 or STAT 335) and (MATH 212 or MATH 266).
This course addresses topics such as finite-state Markov chains, classification of states, long-run behavior, birth and death processes, random walks, Poisson processes and their variations, and Brownian motion.
Outcomes: Students will obtain a background in stochastic processes and apply this in areas like biology, social science, sports, and finance.
This course addresses topics such as finite-state Markov chains, classification of states, long-run behavior, birth and death processes, random walks, Poisson processes and their variations, and Brownian motion.
Outcomes: Students will obtain a background in stochastic processes and apply this in areas like biology, social science, sports, and finance.