Probability Models
Course #: MATH 647
Description:
This is a graduate course on probability models with a strong emphasis on stochastic processes. The aim is to enable students to approach real-world phenomena probabilistically and build effective models. Topics include probability spaces, random variables, conditional probability, Markov chains, Poisson processes, Browian motion, probabilistic simulations.
Pre Requisites: