Historical instructor
Original student reviews · all captured dates
This professor cannot communicate information effectively by any means. Lectures are often 2 hours when everything could be said in a quarter of that. He obviously understands statistics, but he also assumes that students already have experience with coding in R and makes zero effort to teach how.Rate My Professors ↗
tests so hard bro. not even like the midterms. that curve be super high. he a nice jolly chill guy tho always smiling. js the tests bro sheesh.Rate My Professors ↗
The course was ran very poorly. Lectures were a mix of typed out slides and coding, then homework was all coding, but then the exams were hand written questions. Made no sense. Why teach us how to code if we're going to be tested on solving problems by hand? Don't expect Piazza answers within a few days either. Nowhere to be seen before the final.Rate My Professors ↗
GREAT explainer! You can tell he is passionate about the topics and is a master at breaking them down. Also super nice, patient, and helpful at office hours. I learned so much from going to his office hours just once. He also made the 340 slides that other profs use so he really understands them and the examples used in lecture.Rate My Professors ↗
I actually think that Prof. Powers is very knowledgeable about stats and programming, and he's actually a good teacher if you listen to lecture and ask questions. The tests in both STAT 240 and 340 are very hard (and sometimes unrelated) compared to hw, and I do think it's odd to not release the curve until end of class.Rate My Professors ↗
Worst class I have taken in college. It is a complete mess. We do all of our assignments in R and then take the hardest exam known to man on paper -- we got 50 minutes to do it which was no where near the amount of time we should have been given to complete that monstrosity. Given the amount paid in tuition here, this course needs a re-evaluation.Rate My Professors ↗
Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.
STAT 572 covers advanced statistical methods for biosciences, including multiple regression, ANOVA, and bioassay.
No offering record · Spring 2026
with this instructor · course overall, matching historical terms
historical GPA · grades
Spring 2022–Spring 2026STAT 340 teaches data exploration, modeling, and analysis using R, covering probability, simulation, hypothesis testing, Bayesian inference, regression, and machine learning techniques.
No offering record · Spring 2026
with this instructor · course overall, matching historical terms
historical GPA · grades
Fall 2021–Spring 2026Distinct courses recorded per term
Explore courses taught by this instructor →| Term | Course | Title |
|---|---|---|
| Spring 2026 | F&WECOL/STAT 572 | Statistical Methods for Bioscience II |
| Spring 2026 | STAT 340 | Data Science Modeling II |
| Fall 2025 | F&WECOL/STAT 571 | Statistical Methods for Bioscience I |
| Fall 2025 | STAT 340 | Data Science Modeling II |
| Spring 2025 | F&WECOL/STAT 572 | Statistical Methods for Bioscience II |
| Spring 2025 | STAT 340 | Data Science Modeling II |
| Fall 2024 | STAT 340 | Data Science Modeling II |
| Fall 2024 | STAT 998 | Statistical Consulting |
| Spring 2024 | F&WECOL/STAT 572 | Statistical Methods for Bioscience II |
| Spring 2024 | STAT 340 | Data Science Modeling II |
| Fall 2023 | F&WECOL/STAT 571 | Statistical Methods for Bioscience I |
| Fall 2023 | STAT 340 | Data Science Modeling II |
| Spring 2023 | F&WECOL/STAT 572 | Statistical Methods for Bioscience II |
| Spring 2023 | STAT 340 | Data Science Modeling II |
| Fall 2022 | STAT 311 | Introduction to Theory and Methods of Mathematical Statistics I |
| Fall 2022 | STAT 324 | Introduction to Statistics for Science and Engineering |
Teaching history may be incomplete. Course pages contain course-specific feedback and citations.
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