(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.