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Topics of current research interest in probability and/or statistics, by means of lectures and informal conferences with members of staff. PSTAT 262FM is reserved for topics in financial mathematics and statistics.

Prerequisites: PSTAT 120A-B-C; consent of instructor.

1 - 6

Units

Optional

Grading

1, 2, 3

Passtime

None

Level Limit

Letters and science

College
YU G H
Guo Yu
2.8
29 reviews
Winter 2026 . Rao S
GIRV 2116
T R
15:30 PM - 16:45 PM
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PSTAT 262DS Yu G Spring 2024 Total: 11
PSTAT 262DS Yu G Winter 2021 Total: 13
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29
2.8
PSTAT131 . Yu G H 6 Months Ago

Definitely avoid if you can. Unfair exams, more focused on confusing and tricking students than assessing their knowledge of the material

0 helpful 0 unhelpful
PSTAT232 . Yu G H 7 Months Ago

This class was a mess. The professor just read off the slides, never explained anything clearly, and didn't seem to care if we understood. Grading felt random, and office hours were useless. I came in hoping to learn stats, but mostly left confused and frustrated. Wouldn't recommend at all.

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PSTAT131 . Yu G H 7 Months Ago

Terrible professor. Lectures are disorganized and confusing, and he rarely answers questions clearly. He reads straight from the slides without explaining concepts. Grading is inconsistent, and there's no feedback on assignments. Office hours feel rushed and unhelpful. I learned more from YouTube than from class.

0 helpful 0 unhelpful
PSTAT131 . Yu G H 8 Months Ago

Don't know what's up with the negative reviews. I agree that lectures were focused on theoretical concepts it's math course so what do you expect? He knows the material inside out, with well-structured homeworks that actually help you understand the content. Final exam was fair, it's just that without a midterm we didn't know what was expected.

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PSTAT131 . Yu G H 8 Months Ago

Lectures were pretty useless, though he does know his stuff. Final exam was poorly written, class average of 50% (though he did curve the final grades). Provided 4 bullet points for instructions on the final project.

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PSTAT131 . Yu G H 8 Months Ago

Guo seems friendly and approachable at first, as well as knowledgeable in machine learning concepts, but his teaching style doesn't convey that much. Sections seemed practically useless, lectures focused too heavily on theory with little to no explanations, and course expectations, like for the final project, were outlined weakly and much too late.

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