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 |
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| 2024-25 |
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| 2023-24 |
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| 2022-23 |
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| 2021-22 |
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