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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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
I loved this class! Initially I was scared since probability has always been my most challenging topic in math, but Sonthalia presented the material in a clear and understandable way. I appreciated that he did not go too fast and reviewed the concepts frequently so that the info could really sink in.
There were five homework assignments in total. The homeworks are designed to be the hardest part of the course, but they were still doable, especially if you went to his office hours. Speaking of which, he held two to three office hours per week, with more during exam weeks, so it was easy to get help when needed. The TA Robert Miranda was also very good at explaining the concepts if you needed to hear things presented in a different way.
The exams were super fair. Sonthalia provided practice problems before each exam and allowed front-and-back cheatsheets (one each for the midterms and three for the final). The exams are significantly easier than the homework, so I would recommend not studying the homeworks for the exams and focusing on the practice problems instead. As long as you study and put in a fair effort, you will do well. I've had several classes where no matter how hard you study, you won't be guaranteed to do well on the exams unless you're super smart because they are just too difficult. This class was not like that at all. The only thing I'm a bit upset about though is that Sonthalia said several times in class and at office hours that the final would be the same level of difficulty as the midterms, which turned out to be a huge lie. The final exam was significantly harder than the midterms. However, I still thought it was doable since the questions lined up pretty well with his practice problems. There was a significant curve at the end of the course, but only for the lower grades (i.e. B and below) since so many people got A's on the exams. It was literally impossible to fail the course, as D+ was the lowest grade he gave.
Overall, I think Sonthalia was a great professor. He was a bit slow when it came to posting things like midterm and homework solutions, but aside from that he was very willing to help students and equip them with all the resources needed to succeed. This is the type of course where anyone can succeed if they sincerely try. Sonthalia transformed probability from an intimidating and confusing subject to one that is approachable and fascinating.
The prof didn't always have the clearest lectures, but he was by far the most accomodating professor I've met. He added a 3rd grading scheme, had lenient deadlines for homework, and gave a decent curve. I would definitely recommend taking this class with Sonthalia even if you might struggle to read his formulas sometimes.
Professor Sonthalia is the best! He was very generous with his grading policy and understanding of students' issues. His office hours always helped us learn more. The exams are all fair and if you do the practice problems you should be fine.
well this class was def all over the place. Missed and unclear lectures on the Professor's part, long-winded proofs with completely different problems on the test, and the overall complete reliance on the textbook instead of the teacher made this class way too much work and stress.
Super nice professor! Can be a little boring in his lectures tho
Displaying all 5 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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Finals week final
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60% recommend the textbook
Previous Grades
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