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
10.0 / 10
Organization
10.0 / 10
Time
5-10 hrs/week
Overall
10.0 / 10

Reviews

    Quarter Taken: Spring 2023 In-Person
    Grade: A

    You can find the textbook online. Easy professor because he reads verbatim from the textbook. Releases practice exams that are similar to the actual ones.

    Quarter Taken: Spring 2023 In-Person
    Grade: A-

    good class. theres a general structure throughout the class and if you conceptually understand everything, it should be good. I studied a lot with classmates which helped a lot. The class gave me basic knowledge for a lot of other cs classes that I took later.

    Quarter Taken: Spring 2023 In-Person
    Grade: A+

    Professor Jeong's pacing for the class was fairly slow (which I didn't complain about lol) compared to the other probability electives. Midterms/finals were essentially just like the homeworks with certain problems having a small twist to them where you had to think outside the box. Plenty of partial credit was given. He is very nice and accommodating; in fact, during one of our midterms, he gave everyone who still was working on the midterm in the last 5 minutes an extra 15 minutes (even though the allotted time was more than enough). Averages/medians were 85+. Overall, not too bad of a class, highly recommend him.

Course

Instructor
Halyun Jeong
Previously taught
23F 23S 21F

Grading Information

  • No group projects

  • Attendance not required

  • 2 midterms

  • Finals week final

  • 67% recommend the textbook

Previous Grades

Grade distributions not available.