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
MEIRING W
Wendy Meiring
2.8
39 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 Meiring W Winter 2026 Total: 0
PSTAT 263 Zhang T Winter 2026 Total: 0
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39
2.8
PSTAT127 . Meiring W 1 Year, 5 Months Ago

A great lecturer and very passionate about the subject, go to lecture!! She focuses only on the most important things in lecture and almost everything emphasized in lecture is tested on. Very fair tests just like the practice tests, lots of time for homework and quizzes, very accessible in OH.

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PSTAT127 . Meiring W 3 Years Ago

The professor is a very very nice person. However, the course is taught superficially and moves very slowly. (6 weeks on glm, 2.5 weeks on ridge/lasso, 1.5 weeks on nonparametric methods) I also need to do a lot of repeated and really boring practice problems to do well on exams.

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PSTAT127 . Meiring W 3 Years Ago

Clearly passionate about the subject but is an extremely harsh grader and stickler for notation. Expect to spend lots of time in office hours and study groups if you want to pass. Grading 15% quizzes (unlimited attempts), 20% homework, 20% midterm, 45% final

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PSTAT127 . Meiring W 4 Years Ago

Professor Meiring is a very nice person, but it felt like she was juggling many things at once. It felt difficult to get more than a surface-level understanding of the material and the final was worth 45% which made the class stressful. Luckily, the midterm and final were similar to the practices (which are previous exams) which was helpful.

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PSTAT127 . Meiring W 4 Years Ago

She is decent

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PSTAT127 . Meiring W 4 Years Ago

Course had some interesting concepts, but it wasn't taught practically. Textbook barely used here. Lectures could have concrete analysis after drawing figures in lecture instead of more sketches. Quizzes needed to be worth more too!

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PSTAT 231
0 / 50 Enrolled
Introduction to Statistical Machine Learning
Katie Coburn 3.1
T R
17:00 PM - 18:15 PM
PSTAT 262FM
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Jean-Pierre Fouque 4.0
F
10:00 AM - 11:50 AM
PSTAT 262DS
0 / 30 Enrolled
Seminars In Probability and Statistics
Mengyang Michael Gu 3.9
M W
11:00 AM - 12:15 PM
PSTATW 274
0 / 30 Enrolled
Time Series
T B A
Async online
PSTAT 275
0 / 30 Enrolled
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Yuedong Wang 3.4
M W
17:00 PM - 18:15 PM
PSTAT 277A
0 / 30 Enrolled
Advanced Time Series
Peters G W
T R
18:30 PM - 19:45 PM