WORST. LECTURER. EVER. If you think you'll understand something, well... think again my friend. she explains the content like she is explaining it to herself. Handwriting isn't good either. Discussions aren't that helpful. You'd be better off understanding the material from Khan Academy or something.Rate My Professors ↗
Historical instructor
SIJING LI
What students say
Original student reviews · all captured dates
Should rename class to How to be a terrible professor 101 Professor Li is an expert on showing up late, illegible handwriting, and presenting material in the least understandable way possible. If you are interested in these topics take this class!Rate My Professors ↗
Cant understand a word she says. Ocassionally late for lecture. She doesnt use microphone. I cant understand her handwriting. Worst professor Ive ever had.Rate My Professors ↗
Without a doubt the worst professor/lecturer/instructor I've had at UW. She's awful. Less than a third of students came to lectures because there was no point. She was impossible to understand, and her handwriting wasn't much easier to make out easier. Unclear grading policy, and the TAs weren't very helpful. You have to teach yourself everything.Rate My Professors ↗
She has a whole script of what she wants to say every class, so if you're running short on time, she'll just throw everything at you quickly before the class ends. Not a hard class, but very easy to mess up and get a bad grade. Very nice grading curve, though (25% A, 25% AB, 25% B).Rate My Professors ↗
Try to stay awake. I dare youRate My Professors ↗
Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.
Classes with SIJING LI
R for Statistics I
1 creditsSTAT 303 teaches using the R language to manipulate data and perform exploratory data analysis.
No offering record · Fall 2019
with this instructor · course overall, matching historical terms
historical GPA · grades
Fall 2019–Fall 2019R for Statistics II
1 creditsSTAT 304 teaches advanced R programming skills for statistics, including data manipulation, text extraction, and visualization.
No offering record · Fall 2019
with this instructor · course overall, matching historical terms
historical GPA · grades
Fall 2019–Fall 2019R for Statistics III
1 creditsSTAT 305 teaches students to use the R statistical language and integrate it with high performance computing tools for scientific computing.
No offering record · Fall 2019
historical GPA · grades
Fall 2019–Fall 2019 · limited sampleRecorded teaching history
Distinct courses recorded per term
Explore courses taught by this instructor →Browse recorded courses
| Term | Course | Title |
|---|---|---|
| Fall 2019 | STAT 303 | R for Statistics I |
| Fall 2019 | STAT 304 | R for Statistics II |
| Fall 2019 | STAT 305 | R for Statistics III |
| Spring 2019 | STAT 479 | Special Topics in Statistics |
| Spring 2018 | STAT 324 | Introduction to Statistics for Science and Engineering |
| Fall 2017 | STAT 324 | Introduction to Statistics for Science and Engineering |
| Spring 2016 | STAT 371 | Introductory Applied Statistics for the Life Sciences |
| Fall 2015 | STAT 371 | Introductory Applied Statistics for the Life Sciences |
Teaching history may be incomplete. Course pages contain course-specific feedback and citations.
Instructor identity & provenance
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