Course: STAT 31200
Title: Introduction to Stochastic Processes I
Instructor(s): Mei Wang
Teaching Assistant(s): Yoonhaeng Hur
Class Schedule: TR 11:00 AM-12:20 PM in Jones 226
Description: This course will introduce some of the major classes of stochastic processes: Poisson processes, renewal processes, Markov chains, continuous time Markov processes, random walks, martingales, and Brownian motion. A substantial part of the course will be devoted to the study of important examples. Students will be expected to have proficiency in elementary probability theory, basic real analysis (especially sequences and series), and matrix algebra. Some familiarity with the theory of Lebesgue measure and integration would be helpful.
Textbook(s):