Quality 4/5Difficulty 3/5
Gives good lectures. Notes are clear and with plenty of examples. Not too much HW and exams are pretty fair. Very good overall.Rate My Professors ↗
Historical instructor
DONG XIA
What students say
Original student reviews · all captured dates
Quality 4/5Difficulty 2/5
Good lecturer. Uses a lot of examples to cover material. Exam is fair.Rate My Professors ↗
Quality 1/5Difficulty 3/5
Dong is a satisfactory teacher when he uses the board. If Dong uses his pre-made powerpoints, good luck. The powerpoints are dull and he does not explain the material on them at all. Do the homework, it is very helpful for when exam time comes.Rate My Professors ↗
Quality 1/5Difficulty 4/5
He's terrible. "In other words, In other words" take any other professor if possible.Rate My Professors ↗
Quality 1/5Difficulty 4/5
Literally the worst class I have ever taken. This was by far the hardest to get an A. Not because the material is hard, but because what is provided is nowhere near adequate to do well on the exams. Completely new things ALWAYS appear on exams. Get ready to visit a tutor, or anybody else who can actually teach because you WILL be on your own.Rate My Professors ↗
Quality 1/5Difficulty 4/5
After getting through the calc sequence, you'd think stats would be a breeze... but no, this prof. manages to make a straightforward class complicated. With his strong accent in lecture, homework that is not helpful for tests, and incomplete practice exams, you'll be learning concepts as you take the exams, which may include topics never mentioned.Rate My Professors ↗
Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.
Classes with DONG XIA
Introduction to statistics for science and engineering covering descriptive statistics, probability, hypothesis testing, linear regression, and ANOVA using R.
No offering record · Spring 2017
with this instructor · course overall, matching historical terms
historical GPA · grades
Fall 2012–Spring 2017STAT 351 introduces distribution-free statistical methods, covering rank tests, permutation methods, and kernel estimation.
No offering record · Spring 2017
with this instructor · course overall, matching historical terms
historical GPA · grades
Spring 2014–Spring 2017Recorded teaching history
Distinct courses recorded per term
Explore courses taught by this instructor →Browse recorded courses
Teaching history may be incomplete. Course pages contain course-specific feedback and citations.
Instructor identity & provenance
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