MATH 170A
Probability Theory
Description: Lecture, three hours; discussion, one hour. Requisites: courses 32B, 33A. Not open to students with credit for Electrical Engineering 131A or Statistics 100A. Probability distributions, random variables and vectors, expectation. P/NP or letter grading.
Units: 4.0
Units: 4.0
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Most Helpful Review
Tonci is a fun and friendly professor. He seems to explain the materials in a very hasty way, but if you can keep up with him, you will have a very good command of the class material at the end of the class. I didn't really go through my notes or textbook before the test. To prepare for his exams, be aware that his tests are very challenging and could be harder than assignments or practice tests. The final is doable but it's kinda impossible to do perfectly on it. The median of the class is usually below 50/100, fyi. The grading is fair.
Tonci is a fun and friendly professor. He seems to explain the materials in a very hasty way, but if you can keep up with him, you will have a very good command of the class material at the end of the class. I didn't really go through my notes or textbook before the test. To prepare for his exams, be aware that his tests are very challenging and could be harder than assignments or practice tests. The final is doable but it's kinda impossible to do perfectly on it. The median of the class is usually below 50/100, fyi. The grading is fair.
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Most Helpful Review
Fall 2023 - Baeumler knows what he's talking about and presents very clearly. He has lots of office hours where you can get additional help. He's not the most awe-inspiring and tends to go off the textbook almost word for word, but you will definitely learn the textbook content well. This course does not demand very much real analysis. The homework is a mix of proofs and computation. The exams are almost entirely computational and do not require real analysis.
Fall 2023 - Baeumler knows what he's talking about and presents very clearly. He has lots of office hours where you can get additional help. He's not the most awe-inspiring and tends to go off the textbook almost word for word, but you will definitely learn the textbook content well. This course does not demand very much real analysis. The homework is a mix of proofs and computation. The exams are almost entirely computational and do not require real analysis.
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