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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5-10 hrs/week
- Overall
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8.3 / 10
Reviews
Lectures were generally unclear and left many students not understanding the topics at all. This isn't much of an issue until after the first midterm when the class goes from very easy to very difficult. Prepare to learn the whole course straight out of the textbook
Professor teaches what you need to know, and gives examples in class where he gives time to attempt the problem before solving it himself. Nothing really special about his class. He does provide a pdf of what he has lectured on right before the exams
Lectures poorly, rarely attended them.
First half of the quarter is spent covering easy stuff, with some sort of prior experience with probability the homework can be done quite quickly.
Second half covers more advanced stuff, some people felt it was rushed, I thought it was a good pace.
Exam problems were very similar to homework problems and provided practice problems.
Somewhat clear instruction; the class itself gets a little confusing towards the end though. Prof isn't bad, he just isn't great either. Midterm was mostly easy, final was somewhat difficult.
Displaying all 4 reviews
Course
Grading Information
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No group projects
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Attendance not required
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1 midterm
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10th week final
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75% recommend the textbook
Previous Grades
Grade distributions not available.