STAT203: Introduction of Probability Theory

Introduces probability theory and its applications. Requires a multivariate calculus background, but has no measure theoretic content. Topics include: combinatorial analysis; axioms of probability; random variables (discrete and continuous); joint probability distributions; expectation and higher moments; central limit theorem; law of large numbers; and Markov chains. Students cannot receive credit for this course and course 131 or Computer Engineering 107.

5 credits

Year Fall Winter Spring Summer

Formerly AMS 0203

While the information on this web site is usually the most up to date, in the event of a discrepancy please contact your adviser to confirm which information is correct.