Current instructor
Original student reviews · all captured dates
Peter's nice and very accommodating but his lectures are BAD. You'll have to learn the material yourself but it isn't bad at all b/c the material he covers is pretty easy. Beyond that he's really lenient and gives relatively easy tests that are extremely predictable (think change some wording from practice exam predictable).Rate My Professors ↗
Grading isn't super clear IMO, also not as generous of grading as I expected given what has been said in the past. He rambles, class feels pointless sometimes.Rate My Professors ↗
He isn't a super great professor, but the class also isn't super hard. I would really recommend taking it with someone else to understand what is going on. He rambles a lot and it would be a much easier class if he walked through problems. Also he mentioned he's requiring attendance next semester, so just a heads up.Rate My Professors ↗
He's friendly but he's a terrible teacher. He rambles a lot in lecture about random, unrelated topics and the textbook he uses is not all that good either. The one plus is that he's a very lenient grader. But if you want to actually learn and understand experimental design, you should take it with someone else.Rate My Professors ↗
I enjoyed taking the course. Professor Chien gave interesting examples of chip production and shared stories about statisticians. We learned methods like two-way ANOVA, Latin square, and factorial design. I suggest attending office hours, as he excels at inspiring thoughts, which gives you opportunities to explore and deepen your understanding.Rate My Professors ↗
Peter is nice and he's pretty good at explaining the course topics. He gives a lot of review material for the exams, so you can do well if you try. But, the exams did take most of the class the entire period, so be aware that you'll need to work fast. He's inconsistent at answering Piazza posts, but is very willing to help if you speak to him.Rate My Professors ↗
Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.
STAT 424 introduces statistical experimental design, covering randomization, blocking, factorial designs, and response surface methodology with engineering applications.
Offering recorded · Fall 2026
Peter Chien is praised for clear explanations, engaging examples, and inspiring students. Reviewers note he is available for questions and provides helpful practice problems, with some finding the class easy and fun when attending lectures and office hours.
historical GPA · grades
Spring 2022–Spring 2026STAT 681 is a mentored individual study course for students writing an honors thesis.
Offering recorded · Fall 2026
No recorded grade history
STAT 699 is a directed study course where students engage in projects arranged with a faculty member.
Offering recorded · Fall 2026
historical GPA · grades
Spring 2022–Spring 2022 · limited sampleSTAT 990 is an independent research and writing course for graduate students under faculty supervision.
Offering recorded · Fall 2026
No recorded grade history
Teaching history may be incomplete. Course pages contain course-specific feedback and citations.
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