MATH 5890 - Stochastic Modeling

(3 credits)

Prerequisites: Course in Linear Algebra or equivalent.

This is a course in stochastic modeling with an emphasis on applications and computation. Topics covered include stochastic modeling and simulation using discrete-time Markov chains, continuous-time Markov chains, and stochastic differential equations.