MATH 387 - Probability

Credits: (3)
This is an introduction to the theory of elementary probability. Topics include Kolmogorov’s axioms of probability, conditional probability and independence, finite combinatorics, discrete and continuous distributions, moments, jointly distributed random variables, limit theorems, generating functions, Markov chains and random walks. Prerequisite(s): MATH 228 and MATH 248 or permission of the instructor. (On a rotating basis)