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.

Review Summary

Clarity
8.3 / 10
Organization
8.3 / 10
Time
0-5 hrs/week
Overall
8.3 / 10

Reviews

    Quarter Taken: Winter 2024 In-Person
    Grade: N/A

    There's only one midterm for the class which was not bad at all, the 2 grading schemes are 75% final, 25% HW or 25% HW, 30% Midterm, 45% Final. There's hw due every week which was quite long, usually took an hour or 2 to complete it. Prof. Levinsons lectures are pretty straight forward but can get kinda boring and dry at times, hes kinda funny tho lol. Overall I'd recommend taking the class with Prof Levinson.

Course

Instructor
Levinson, D.J.
Previously taught
24W 23F

Grading Information

  • No group projects

  • Attendance not required

  • 1 midterm

  • Finals week final

  • 100% recommend the textbook

Previous Grades

Grade distributions not available.