Introduction to Probability

Lecture, three hours; discussion, one hour. Requisites: Mathematics 32B, 33A. Not open to students with credit for Electrical Engineering 131A or Mathematics 170A; open to graduate students. Students may receive credit for only two of following: course 100A, former course 110A, Biostatistics 100A. Probability distributions, random variables, vectors, and expectation. P/NP or letter grading.

Review Summary

Clarity
8.3 / 10
Organization
8.3 / 10
Time
10-15 hrs/week
Overall
6.7 / 10

Reviews

    Quarter Taken: Spring 2020 In-Person
    Grade: A

    This class was a super easy A. The homework questions were almost (if not totally) identical to problems done in class, and the midterm/final were also barely different from the homework. Also, the midterm and final were take-home (with a ~3 day timeframe to complete) for my quarter due to remote learning/COVID, making it ridiculously easy.

    I also learned almost nothing from the class though, so if you need relevant knowledge for future classes, you might have to push yourself harder than is required to get the A.

    Quarter Taken: Summer 2023 Online
    Grade: A+

    Prof. Wu's lectures place a heavy emphasis on an intuitive understanding of the concepts, but his homework assignments are highly theoretical which was a bit jarring. The TAs were very helpful in clarifying how to go about the homework assignments, and all the homework assignments were easy to complete. The final was just another homework assignment and was also easy.

Course

Instructor
Yingnian Wu
Previously taught
25W 24S 23Su 22Su 21Su 20F 20Su 20S 19F 19S 16S 11F 10F 09F 08F 07F

Grading Information

  • No group projects

  • Attendance required

  • No midterms

  • Finals week final

  • 0% recommend the textbook