Current 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.
STATISTICAL METHODS FOR BIOSCIENCE I covers statistical inference, ANOVA, regression, and diagnostics for bioscience applications.
Offering recorded · Fall 2026
Recent recorded grades — Fall 2023: 3.35 GPA, 60.9% A/AB (n=46 letter grades); Fall 2025: 3.47 GPA, 61.5% A/AB (n=78 letter grades).
historical GPA · grades
Fall 2022–Fall 2025STAT 340 teaches data exploration, modeling, and analysis using R, covering probability, simulation, hypothesis testing, Bayesian inference, regression, and machine learning techniques.
Offering recorded · Fall 2026
Brian Powers is approachable, caring, and a clear explainer who answers questions thoroughly and maintains organized Canvas resources. Reviewers appreciate his passion and helpfulness during office hours, noting he is a standout compared to other department instructors.
historical GPA · grades
Spring 2022–Spring 2026Introduction to time series analysis covering stationarity, AR/MA models, and forecasting applications.
Offering recorded · Fall 2026
historical GPA · grades
Fall 2022–Fall 2025| Term | Course | Title |
|---|---|---|
| Fall 2026 | F&WECOL/STAT 571 | Statistical Methods for Bioscience I |
| Fall 2026 | STAT 340 | Data Science Modeling II |
| Fall 2026 | STAT 349 | Introduction to Time Series |
Teaching history may be incomplete. Course pages contain course-specific feedback and citations.
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