STAT203: Introduction of Probability Theory

*****COURSES ARE SUBJECT TO CHANGE*****

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
2021-22	Section 01 Robert Lund (rolund)
2020-21	Section 01 Rajarshi Guhaniyogi (rguhaniy)
2019-20	Section 01 Jiangeng Huang (jhuan241)

Comments

Formerly AMS 0203

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