STAT203: Introduction to 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 STAT 131 or CMPE 107. (Formerly AMS 203.)

Enrollment is restricted to graduate students, or by permission of the instructor.

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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