On this page you will find a listing of (selected) graduate course descriptions. Also see course listings for current semester. Office of the Registrar: Register for Classes Prerequisite: MTH 142 or ...

Introduction to probability theory and its applications. Axioms of probability, distributions, discrete and continuous random variables, conditional and joint distributions, correlation, limit laws, ...

This course builds a rigorous foundation of probability. Topics covered include: basic concepts of probability theory and statistics, counting, axioms of probability, independence, Bayes rule, ...