Probability Theory I

Description

Lecture, three hours; discussion, one hour. Requisites: courses 32B, 33A, 131A. Not open to students with credit for course 170E, Electrical and Computer Engineering 131A, or Statistics 100A. Rigorous presentation of probability theory based on real analysis. Probability space, probability and conditional probability, independence, Bayes’ rule, discrete and continuous random … For more content click the Read More button below.

Lecture, three hours; discussion, one hour. Requisites: courses 32B, 33A, 131A. Not open to students with credit for course 170E, Electrical and Computer Engineering 131A, or Statistics 100A. Rigorous presentation of probability theory based on real analysis. Probability space, probability and conditional probability, independence, Bayes’ rule, discrete and continuous random variables and their distributions, expectation, moments and variance, conditional distribution and expectation, weak law of large numbers. P/NP or letter grading.

Instructional Format

Primary Format

Lecture

Secondary Format

Discussion

Credit Exclusions

EC ENGR 131A - Probability and Statistics

Not open for credit to students with credit for any course listed here.

Equivalent Courses

STATS 100A - Introduction to Probability

MATH 170E - Introduction to Probability and Statistics 1: Probability

Courses that are considered as the same for requisite enrollment and repetition.

General Catalog 2023-24