Description
Stochastic Processes
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. In addition to applications, some theoretical derivations/proofs will also be emphasized.

Outcomes: Students mastery of methods in stochastic processes and the ability to apply these in areas like biology, social science, sports, and finance.
Details
Grading Basis
Graded
Units
3
Component
Lecture - Required
Offering
Course
STAT 406
Academic Group
College of Arts and Sciences
Academic Organization
Mathematical Sciences