Historical instructor

KEITH LEVIN

Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 1.90/5 from 52 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

RMP profile ↗ · All captured review dates; profile matched by name.

What students say

Original student reviews · all captured dates

MATH/STAT 310
Quality 4/5Difficulty 5/5
Diabolical he has this low of rating when there are some stats professors that are miles worse. I think his lectures are great and motivates the topics well and the homeworks were pretty fair. My only gripe is that lecture material doesn't match test material as the tests are more applied whereas lecture and hw content is more theoretical.
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MATH/STAT 310
Quality 5/5Difficulty 5/5
Keith teaches 310 very rigorously but you grow and learn so much from taking his class. He's also a really nice guy and if you stop by his office hours, he'll provide helpful feedback. If you are a stats major, I'd recommend taking this class seriously and soaking in the material (as it is by far the most valuable class you will take in undergrad).
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MATH/STAT 310
Quality 5/5Difficulty 3/5
Keith cares about the content and explains material very clearly. The issue is that most students haven't been exposed to proof based math prior to taking 310. If statistics students were required to take a theoretical math course, 310 would be a breeze. Don't hate the professor, hate the major for not preparing you for rigorous coursework.
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MATH/STAT 310
Quality 1/5Difficulty 5/5
His lecture is just more like a narcissism presentation. He can explain things, but he'd rather spend 2/3 of the time on proving a corollary than telling you what to learn from the lecture in 5 mins. And extremely high percentage on exam, but no practice exam, only tells you to go over hw and some irrelevant textbook Problem.
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MATH/STAT 310
Quality 2/5Difficulty 4/5
Homeworks were long but worth very little and only partially graded. Exams were intense but curved a lot because of difficulty. Difficult and overwhelming to prepare for the exams and Keith emphasizes that he does not have a lot of time to help students.
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MATH/STAT 310
Quality 5/5Difficulty 3/5
I just finished taking Stat 310, and I am shocked to see these low reviews. I thought he was great! Keith motivates every mathematical concept before getting into the theory (few professors do this), and he gives great explanations. Stat 310 may be in the Stats department, but it is a math class. Don't hate the prof cause you don't like math.
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Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.

Classes with KEITH LEVIN

STAT 606: COMPUTING IN DATA SCIENCE AND STATISTICS surveys popular data science tools, covering Python, machine learning, data visualization, web scraping, and MapReduce.

No offering record · Spring 2026

with this instructor · course overall, matching historical terms

historical GPA · grades

Spring 2023–Spring 2026
STAT 990

Research

1–12 credits

STAT 990 is an independent research and writing course for graduate students under faculty supervision.

No offering record · Spring 2026

No recorded grade history

Recorded teaching history

Distinct courses recorded per term

Explore courses taught by this instructor →
Browse recorded courses
TermCourseTitle
Spring 2026STAT 606Computing in Data Science and Statistics
Spring 2026STAT 990Research
Fall 2025MATH/STAT 310Introduction to Probability and Mathematical Statistics II
Fall 2025STAT 990Research
Spring 2025STAT 606Computing in Data Science and Statistics
Spring 2025STAT 990Research
Spring 2025STAT 992Seminar
Fall 2024MATH/STAT 310Introduction to Probability and Mathematical Statistics II
Fall 2024STAT 990Research
Spring 2024STAT 606Computing in Data Science and Statistics
Spring 2024STAT 990Research
Spring 2024STAT 992Seminar
Fall 2023MATH/STAT 310Introduction to Probability and Mathematical Statistics II
Fall 2023STAT 699Directed Study
Fall 2023STAT 990Research
Spring 2023STAT 606Computing in Data Science and Statistics
Spring 2023STAT 990Research
Fall 2022STAT 340Data Science Modeling II
Fall 2022STAT 990Research
Spring 2022STAT 679Special Topics in Statistics
Spring 2022STAT 699Directed Study
Spring 2022STAT 990Research
Fall 2021STAT 340Data Science Modeling II
Fall 2020STAT 605Data Science Computing Project

Teaching history may be incomplete. Course pages contain course-specific feedback and citations.

Instructor identity & provenance
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