Probability, Random Variables and Stochastic Processes

Catalog description

This course covers probability models, random variables with discrete and continuous distributions, independence, joint distributions, conditional distributions, expectations, functions of random variables, central limit theorem, stochastic processes, random walks, and Markov chains. COMPSCI 201 or COMPSCI 101 or STATS 102 is recommended. 001264