CSCI 616 - Stochastic Models in Computer Science

Fall or Spring 3 Prerequisite(s): Discrete Mathematics, Calculus.

An introduction to stochastic models, problem solving, and expected value analysis as applied to algorithms and systems in computer science. Topics include probability, discrete and continuous random variables, discrete-time Markov chains, and continuous time birth-death processes.