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
2025-26	Section 01 Robert B Lund (rolund)
2024-25	Section 01 Rebecca Killick (rkillick)
2023-24	Section 01 Robert Lund (rolund)
2022-23	Section 01 Raquel Prado (rprado)

Comments

Formerly AMS 0203

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