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
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5.0 / 10
- Organization
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6.7 / 10
- Time
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0-5 hrs/week
- Overall
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6.7 / 10
Reviews
slides are fine but content will make more sense if u just read the textbook. on the other hand, may not be necessary if u just wanna pass bc her exams are very easy
She's not a great lecturer and the last week before the final was a complete shitshow. She didn't show up to the office hours before the final and didn't bother creating a makeup final office hours. The last weeks felt really rushed and makes me feel unprepared for 170S.
Easy class overall. Professor was nice and made it clear what you had to know for exams. Textbook is very helpful for understanding distributions, etc.
Displaying all 3 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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Finals week final
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100% recommend the textbook
Previous Grades
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