Introduction to Probability and Statistics 1: Probability

Lecture, three hours; discussion, one hour. Requisite: course 32B. Highly recommended: course 61 or 70. Not open to students with credit for course 170A, Electrical and Computer Engineering 131A, or Statistics 100A. Introduction to probability theory with emphasis on topics relevant to applications. Topics include discrete (binomial, Poisson, etc.) and continuous (exponential, gamma, chi-square, normal) distributions, bivariate distributions, distributions of functions of random variables (including moment generating functions and central limit theorem). P/NP or letter grading.

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Course

Instructor
Mitia Duerinckx
Previously taught
22W

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