2022 spring, I'm currently stats102B with Wu. Wu is not posted as a professor for stats102B, so I'll leave some comments here.

1. Wu's lectures usually composes of the following: 25 mins of review of last lecture, 5 mins of new stuff, and 20 mins of stuttering.

2. First week of lectures, if you thought that you are taking math 115, then you are in the right stats102b class. Wu starts out the first two weeks talking about linear algebra, but he doesn't tell you why.

3. You are expected to master linear algebra. He will do a simple review of it in the first week. You are responsible for knowing every math proof by heart.

4. Wu does not set up any official Q&A forum such as Campuswire or Piazza. So, do not expect any online hw help from professor. He won't reply you in time

5. Wu's lectures don't have the big picture. If you wonder what a big picture is, go checkout Miles Youtube lecture on stats102B. It's public, and first or second class he tells you what the big picture of machine learning/optimization/modeling is.

6. Wu's lecture notes gives no example R code, but all homework is in R.

Take 102a with another professor if you do have choices.

Exams and quizzes were generally not easy. You need to watch every one of the discussion videos and to browse campuswire twice a day in order to finally get the details for your assignments clear. (what is desired is often not well specified in the spec) Despite all these, the course has really generous curve.

I took the stats 102a during winter 2021, and currently taking 102b. Tbh, just take other prof if you can. Wu won't reply to emails, and discussion board. Also, for the first two weeks, we are just literally learning math 115a stuff whereas in his lec, he only talks about math concept rather than actual R coding.

I enjoyed this class because the professor is super organized. During each lecture, he essentially just goes over a slide deck that is typically uploaded to Bruin Learn in advance, so I would argue that you could probably succeed in this class without actually attending lectures. The homework assignments, which are worth the bulk of your grade, are a total mixed bag in terms of difficulty level. When I took this course, there were five homework assignments in total, and the first one was ridiculously easy as someone who has previously taken a programming class, and the third and fifth assignments were also very manageable. The second and fourth assignments, on the other hand, took upwards of 20 hours for me personally. Luckily, the professor is very receptive when he is told that some assignments are more difficult, so you will usually receive some sort of class extension for the more challenging homeworks. The quizzes are somewhat difficult most weeks, but they are graded based on completion. Exams are similar in content/structure to quizzes, so be sure to review quizzes in advance of the exams. If you have any previous programming experience, this class is pretty easy.

Nice professor. Tries to help a lot. But not very clear. And material is difficult (much bigger step from stats 20!) so be prepared to work. I watched all of Prof Chen's lectures on YouTube and even some extra supplemental lectures from different universities to finally get different concepts in this class. Be prepared to do supplemental work to understand concepts. But he does try to help and genuinely nice guy

Lectures slides are clear and informative. You might want to take notes on his lecture slide "doodles" during lectures, because they are important and will not be updated on lecture slides.

Homeworks and exams are tough. Although he meant well to push students study hard, assignment policies are harsh and he explicitly forbids collaboration. Respondus Lockdown Browser is mandatory for exams.

Heads up for homework due date changes and check CCLE daily. For Winter 2021, he moved the deadline of the last assignment several days ahead without informing students.

It absolutely disrupted my review schedule for another class' final . Some students I know ended up pulling all-nighters to cram this last assignment. Hopefully this will never happen again.

Dr. Wu is very generous with the grading (quizzes are only based on completion, assignments deadlines can be extended for up to two weeks,...). His office hour is great, and he is willing to stay a long time after to help you with the assignments. The curve of the class is also fantastic (I certainly would not get B if not for the generous curve). However, the midterm and finals can be very rough where he asks minor details questions during lecture, so be very well-prepared! Overall, Dr. Wu is very kind and understanding and I certainly would want to take classes with him again.

Professor Wu and the TA struggled a little with the online format, but that was to be expected for professors and students alike. Unlike some other unsympathetic professors, though, Professor Wu was obviously doing his best to create a good learning environment and be caring for his students.

Nonetheless, there were some inherent issues with his implementation of the course. For one, the Stats departments obsession with non-collaboration on anything was incredibly annoying. Not being able to work on homework together was tough and isolating. The quizzes were hard and it was unclear as to what topics they were covering. The tests had extremely tough wording at times, and the homeworks were very stressful at points. Most annoyingly was the specificity of the homeworks. Having to name files a certain way or making sure the files were knittable (which an easy solution was never explicity given to this problem) or automatically have 50% of the grade taken off was harsh to say the least.

The use of campuswire helped a lot. The TA Oonyambu was very responsive, albeit a little short with answers sometimes (see also: the way Jake answers questions but a little less harsh). Overall, I would take this class again in its second, COVID-tested iteration, which I think would have a lot less kinks than my session had.

The grading in this class consisted of weekly homework, a midterm, final and a weekly quiz. I'd say the material/class was more difficult than I expected, especially homework assignments. But at the same time, Wu was aware when he made things too difficult and made accommodations like extending homework due dates, giving hints and canceling quizzes when necessary. He accommodated students with the covid-19 epidemic by heavily curving the final since I did not deserve the grade I got in the class, to be honest.

Overall, with the clear lectures and challenging but fair material I'd recommend Wu for this class if you did well in stats 20 and remember lots of R coding from then. Otherwise it might be tough.