Mean to some studentsRate My Professors ↗
Historical instructor
YONGSU LEE
What students say
Original student reviews · all captured dates
Quality 1/5Difficulty 5/5
Quality 5/5Difficulty 3/5
He is one of the few good stats professors at UW. He is clear with expectations, grading, and homework. He is really nice and happy to help if you ask. He also did a good job of using slides in lecture that he also posted online and also working through examples and occasional proofs on the black board.Rate My Professors ↗
Quality 5/5Difficulty 3/5
Very organized. Does a good job explaining topics. Homework is a good depiction of exams.Rate My Professors ↗
Quality 1/5Difficulty 4/5
He's good at summarizing full chapters to make it easier to solve questions. The exams are EXTREMELY HARD. Like EXTREMELY. I am a straight A student, and although I understood the class and the homework, the exam was asking for stupid stuff and was marked harshly and I didn't even get a B. DO NOT RECOMENDRate My Professors ↗
Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.
Classes with YONGSU LEE
No teaching recorded in Fall 2026.
View last recorded teaching term →No courses match this selection. Try the full catalog or another term.
Recorded teaching history
Distinct courses recorded per term
Explore courses taught by this instructor →Browse recorded courses
| Term | Course | Title |
|---|---|---|
| Spring 2022 | STAT 479 | Special Topics in Statistics |
| Fall 2021 | STAT 433 | Data Science with R |
| Fall 2021 | STAT 605 | Data Science Computing Project |
| Spring 2020 | STAT 311 | Introduction to Theory and Methods of Mathematical Statistics I |
| Spring 2020 | STAT 312 | Introduction to Theory and Methods of Mathematical Statistics II |
| Fall 2019 | STAT 312 | Introduction to Theory and Methods of Mathematical Statistics II |
| Spring 2019 | STAT 312 | Introduction to Theory and Methods of Mathematical Statistics II |
Teaching history may be incomplete. Course pages contain course-specific feedback and citations.
Instructor identity & provenance
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