Introduction to Probability and Statistics 1: Probability

Lecture, three hours; discussion, one hour. Requisites: courses 31A, 31B. 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.

Review Summary

Clarity
N/A
Organization
N/A
Time
N/A
Overall
N/A

Enrollment Progress

Jul 10, 11 PM PDT
LEC 4: 30/30 seats taken (Full)
Priority PassFirst PassSecond Pass0 days3 days7 days11 days15 days17 days21 days25 days01020304050

Section List

  • LEC 4

    Full

    MWF 4pm-4:50pm

    Young Hall 2200

Course

Instructor
Halyun Jeong
Previously taught
21F

Previous Grades

Grade distributions not available.