Research seminars presented by faculty, visiting scholars, and invited speakers on current research topics.

Prerequisites: Graduate standing.

1

Units

Pass no pass

Grading

1, 2, 3

Passtime

Graduate students only

Level Limit

Letters and science

College
YU G H
Guo Yu
2.9
27 reviews
Gareth Peters
3.6
5 reviews
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Spring 2024 . Yu G Peters G W
HSSB 1174
M W
15:30 PM - 16:45 PM
Fall 2024 . Peters G W Yu G
PSYCH1902
M W
15:30 PM - 16:45 PM
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PSTAT 263 Peters G W Spring 2024 Total: 0
PSTAT 263 Yu G Spring 2024 Total: 0
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32
3.25
PSTAT131 . Yu G H 5 Days 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 26 Days 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.

0 helpful 0 unhelpful
PSTAT131 . Yu G H 28 Days 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.

0 helpful 0 unhelpful
PSTAT174 . A Month Ago

I took Professor Peters's graduate course as an undergraduate and initially considered dropping it. However, Dr. Peters encouraged me to stick with it, and I'm glad I did. His lectures were very interesting: He has a deep understanding of the material and consistently took time to check in on my progress and explain concepts thoroughly.

1 helpful 0 unhelpful
PSTAT131 . Yu G H A Month 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.

0 helpful 0 unhelpful
PSTAT131 . Yu G H A Month Ago

do not take.

0 helpful 0 unhelpful
See all 32 reviews
PSTAT 231
26 / 25 Full
Introduction to Statistical Machine Learning
Katie Coburn 3.3
T R
12:30 PM - 13:45 PM
77.5% A
PSTAT 232
30 / 30 Full
Computational Techniques in Statistics
Guo Yu 2.9
M W
11:00 AM - 12:15 PM
87.8% A
PSTAT 234
15 / 20 Enrolled
Statistical Data Science
Laura Baracaldo 1.8
T R
12:30 PM - 13:45 PM
85.1% A
PSTAT 235
25 / 25 Full
Big Data Analytics
Sang-Yun Oh 2.3
T R
15:30 PM - 16:45 PM
83.8% A
PSTATW 274
12 / 20 Enrolled
Time Series
Feldman R
70.6% A
PSTAT 276
12 / 10 Full
ADVANCED MATHEMATICAL FINANCE
Michael Ludkovski 3.3
T R
11:00 AM - 12:15 PM
70.1% A