The regularly scheduled courses of interest to probability students are:

- Math 361
- An elementary course, primarily for undergraduate students, in which basic concepts are learned and computational skills are developed.
- Math 366
- Introduces the student to the modern theory of stochastic processes by studying Markov chains, birth and death processes, and filtering and prediction of stationary processes.
- Math 461
- A graduate course about applications of stochastic processes to diffusion theory, prediction and filtering theory, and partial differential equations.
- Math 451 and Math 452
- The basic graduate courses in probability theory in which the basic tools are developed: conditional probability distributions, expectations and conditional expectations, random variables, convergence of random variables, moment generating functions and characteristic functions, martingales, stopping times, stationary processes, Markov chains, Markov processes, and Brownian motion.

- Math 361
- Math 366: Richard Sowers
- Math 451: Renming Song

- Math 361
- Section D1 (11-12 MWF): Tadashi Tokieda
- Section F1 (2-3 MWF): Richard Sowers
- Section ?? (??):

- Math 452 (3-4 MWF): Richard Sowers
- Math 461 (10-11 MWF): Renming Song

- Math
361
- Section &E1 (1-2 MWF): Carl Jockusch
- Section C1 (10-11 MWF): Carol Ash
- Section D1 (11-12 MWF):
- Section F1 (2-3 MWF): Donald Burkholder

- Math 451 (3-4 MWF): Richard Sowers

- Math
361
- Section B1 (9-10 MWF): Renming Song
- Section C1 (10-11 MWF): Carol Ash
- Section F1 (2-3 MWF): Richard B. Sowers

- Math 452 (3-4 MWF): Donald Burkholder

Department of Mathematics

University of Illinois at Urbana-Champaign