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
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8.3 / 10
- Organization
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8.3 / 10
- Time
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10-15 hrs/week
- Overall
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6.7 / 10
Reviews
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.
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.
Displaying all 2 reviews
Course
Grading Information
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No group projects
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Attendance required
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No midterms
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Finals week final
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0% recommend the textbook