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

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.

I took 102b with Wu 2022 spring but class is not listed so I'll say something here.

Don't take his class.

I got wrong on part of a small hw question. It got me 10% off the total hw. Prof doesn't use gradescope, so you have absolutely no idea how you got your points off. I went to ask TA for the correct solution, TA said go ask prof. I went to the prof. Prof said go ask TA.

Quizzes are also fcked up. Extremely unclear question prompt with millions of possible interpretations. Thought it's completion grade, it doesn't help to throw random garbage prompt just to waste students' time

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 want to start off by saying I have never taken a stats class before, at first I was extremely nervous to take this class with this particular professor due to the amount of things the professor did to prevent cheating. Both exams were on respondus and we had to have our phones on zoom with the camera directed on our hands. As someone who already gets anxiety during exams, this policy did not really help ease it, I will say I was much more calm during the final though as I knew it was not as bad as i had initially thought. To break the class down, lecture attendance counted as extra credit (max 1%) and were recorded/uploaded to ccle, at first the professor would only leave the lectures up for 3 days and then we were not allowed to watch them, but for some reason he just removed this restriction after the midterm. Labs/HW were both worth 20% of our grades (so together 40%), the hw's were pretty easy, labs I hated simply because I did not understand the purpose of them, grading will depend heavily on your TA. I personally had Jireh and he was amazing at explaining concepts and was an overall very good TA. The midterm and Final were both worth 30% each, and were both mc. The final was not cumulative and was everything after the midterm, both exams were not focused on calculation, rather they were heavily conceptual. Overall, I think I stressed about this class a lot more than I should have, professor Wu does have a very monotone voice, but he is very good at explaining most concepts and would try to interact with the students during lecture. I definitely think that this class was very fair, after taking this class I appreciate the security measures implemented to prevent cheating, as I think my final grade would have been a lot different if they weren't. In all, the best way to describe my experience with this professor was fair, it was not super easy but if you put in the effort it should have not been extremely hard.

Professor Wu's voice is a bit monotone, but his lecture is clear; he posts slides and lecture video, which align very closely with the textbook. Prof. Wu is also very nice, cares about student learning, and occasionally makes quite funny remarks. He replied to emails pretty quickly, was helpful in office hour and gave curve in the end to students who showed progress throughout the quarter.

The labs give a gentle introduction to R and RStudio and should each take about an hour or so each (I assume we truly start utilizing R heavily in Stats 20). You should be fine as long as you follow your TA's guidance and read the lab PDF carefully. The homework assignments are not computationally difficult (the applet does most of the work); rather, you should focus on having a clear understanding of the concepts (when to use what test; the necessary conditions to use it etc). The exams are all multiple choice questions, 2 hours, in Respondus Lockdown Browser (You can bring one piece of "cheat sheet")

Jireh Huang is a very helpful TA; he is good at explaining the concepts clearly and concisely and uses the discussion before assessments to help out with any last minute clarifications. Jireh also responded quickly in Discord when I was confused or had conceptual questions. My biggest impression of Jireh is his dedication to student learning. When he lost his voice, he still typed everything he wanted to explain and clarify in discussion session so we were prepared for that week's lab.

I'm a poli sci major that hates math, but Wu made this fairly painless. He's an incredibly nice, personable, and helpful professor that clearly cares about students succeeding. The content isn't that interesting but Wu teaches in a very clear manner that made it fairly easy. It is easy to get behind, however, so I'd recommend staying on top of lectures and actually reading the textbook (I think I'd space out on a lot of the lectures if I didn't have the textbook's background knowledge).
The lab portion of Stats 10 is totally ridiculous, but most TA's walk you through it step by step so it's fine.
Wu writes pretty hard exams, as well. The midterm was easy but he used relatively confusing language that lead to the mean score in the class being 73. The final was also hard, with a mean score of a 72... so take studying for the tests seriously. In my class he curved pretty generously (dropped a few low scores and rounded some things up, I believe), but I'm not sure if this is the norm.
If you have to take stats 10, Professor Wu is a good person to take it with!

I didn't really go to class so I can't say much about Prof. Wu except that he once played Animal Crossing music during our mid-class break, which is pretty sweet. The course content was presented in a very clear way in the lecture slides and the textbook. These course materials were enough for me to complete the homework and open-note quizzes and do quite well on them. Like others have noted, the labs were kinda pointless. If you get a TA who helps you through them step-by-step, you should be fine; if you don't, I recommend making friends with someone who DOES have a helpful TA or joining a GroupMe chat for the class. The midterm and final were not too difficult, but the wording of the questions can be tricky. I finished the midterm with extra time left and made the mistake of submitting early. If you have time left on either of the exams, use it to go through every single question to ensure that you weren't confused by the wording. There are only 20-something questions, where some questions are worth more points than others, so missing one can be the difference between an A and a B.

I took AP stats in high school, so I already knew the material, so the class was really easy. I only attended lectures because of the poll questions, which gave you 2% extra credit at the end of the class. The midterm was incredibly easy, but the final was hard. However, due to the protests and blm, he made the final optional and changed the weight of the tests. The homework was easy, especially since the TAs basically did the work for us. The weekly quizzes were also easy, and he gave us ample time to do them. The only part I hated about the class was the labs, I still don't understand why they are necessary to the class, but at least the TAs walk you through them step by step.

If you want an easy class with a chill professor take this class with Wu. The info isn't exciting, but Wu teaches in a clear way and cares that his students are learning. He also wants students to succeed, so he ended up dropping multiple quizzes, homeworks, etc. The TA walks you through all the labs and gives you answers to all the homework per Wu's instructions. Take this class and if you put in just a bit of effort, you will get an A.