Probability and Statistics
Lecture, four hours; discussion, one hour; outside study, 10 hours. Requisites: Mathematics 32B, 33B. Introduction to basic concepts of probability, including random variables and vectors, distributions and densities, moments, characteristic functions, and limit theorems. Applications to communication, control, and signal processing. Introduction to computer simulation and generation of random events. Letter grading.
Review Summary
- Clarity
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10.0 / 10
- Organization
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10.0 / 10
- Time
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5-10 hrs/week
- Overall
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10.0 / 10
Reviews
Despite my grade, I would rank this as one of the hardest classes I've taken. Professor Doleček does a very good job as a lecturer (probably because of her experience teaching this class). The homework was challenging but didactic, and I truly felt I learned a lot from the class.
However, the midterm was just brutal. Walking out of the midterm I felt like I utterly failed – even worse than any test in a Professor Paul Eggert class, for those of you CS/E majors reading this. But they do give out significant partial credit, so you get a lot of points just for being on the right track. The final was hard but less so compared to the midterm. The curve was pretty generous though.
Fair lecturer, fair exams. Dolecek is a very fair professor and clearly knowledgeable.
Displaying all 2 reviews
Course
Grading Information
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No group projects
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Attendance not required
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2 midterms
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10th week final
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0% recommend the textbook
Previous Grades
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