Course: MATH 443. Probability Theory and Stochastic Processes (3)
Prerequisites: MATH 250, MATH 262, and MATH 340 all with grades of “C” or better. This course focuses on more advanced but essential topics in probability theory and stochastic processes. Topics include joint probability distributions, functions of random variables, conditional probabilities, expectations and variances, probability inequalities, stochastic convergence, multivariate normal distribution, quadratic forms, random walks, Poisson process, and Markov chains. Available for graduate credit.