Professor Wang is a decent lecturer. She is dry and not that engaging in her lectures, but the content for STATS 100A is somewhat rudimentary. In all fairness, during the lecture, she goes over concepts, proofs, and does sample questions that mimic the type of questions that are likely to appear on the exam. She does this all very thoroughly, so she does multiple examples per concept. I never left the lecture feeling confused about the concepts or the problems, because she does explain it well. The problem with her lectures is that she goes very quickly, often covering two or three important concepts per week. If you are ever confused about the content on her slides, she gives very brief explanations and proceeds to continue on. She is more helpful during office hours, but she definitely goes at a fast pace. She also uses slides and publishes her annotations to BruinLearn (which is really helpful for midterm/final review).

Homework was definitely reasonable and manageable. She gives problem sets of ~10 problems per week and gives around a week to finish them. Some of the questions are tricky, but most of them are pretty straightforward if you know the concept well or paid attention in lecture. What was somewhat annoying was that attendance is mandatory for the class, but if you missed class for a couple of days, you could make it up through Campuswire/Piazza participation.

As for the exams (midterm and final), I felt that the questions she gave were reasonable and never strayed from the content on her slides. The questions themselves were a little harder than what was covered in her slides, but around the same difficulty as the problems she gives in the homework. I felt the final was reasonable (3 out of the 6 problems came directly from the homework), but, asking around, other people seemed to think otherwise. For midterm/final prep, I would definitely go through the examples she does in lecture, and redo the homework problems. For this class, the textbook is absolutely useless, so practice whatever material she posts on Canvas. Also, her practice midterm and final were a joke compared to the actual exams, so I wouldn't use them for a significant portion of the review. She does generously curve up at the end (an entire letter grade for this quarter), so I wouldn't worry too much about the raw grade in the end.

TLDR; Professor Wang is a good professor, but her exams are a little tricky and on the harder side. She does curve generously, is helpful/approachable, and gives good review material so you can do well in the class. I would take Professor Wang again, and she does give out a lot of A's.

Wang is a nice professor, and she tries hard to explain the material to us. However, I would say that a lot of the time, it feels like we're being thrown formulas at. It might just be a stats class problem in general, but I don't feel like I understand the intuition behind the formulas. It's just a lot of information, but difficulty-wise, I wouldn't say it's too hard.

As for the grading scheme, attendance for both lecture and discussion were required and worth 7% of the grade, but you can answer campuswire questions and get a few points back for the lecture(s) you missed. The midterm was worth 35%, and the final 38%. Homework 20%, we had 6 of them, and they were all pretty doable (can go to office hours if you need help!). We had 1% of extra credit (respond to the SET survey), and she also applied a pretty generous curve at the end (at least 1.5% up), so don't worry too much about your raw grades.

Also, I took it in person. Our grade distributions for the midterm and final were NORMAL. Midterm median 79 (lower QT 70, upper QT 91), final median 75 (lower QT 62, upper QT 85). I believe the online class had some... strange distributions with the midterm median 87 (upper QT 95, lower QT 66, similar midterm btw), not sure about the final. I wonder why... (which means you should take it IN PERSON!!!)

Overall I'd say this class was fine. Did I learn that much? Probably not. Would I take it for fun? No. But if you HAVE to take Stats 100A (ahem major req), taking it with Bingling Wang isn't a bad choice.

Attendance for lecture is mandatory, but you can also make up participation points on Campuswire. She adds a short break in the middle of class. She explains material decently and goes over a few examples. She posts lecture slides and annotations. Homework isn't long and is selectively graded on correction while other problem are completion. Midterm during Week 6 consists of about 5-6 questions and is fair in my opinion. Some problems were similar to the lecture examples but additional problems beyond homework is necessary to study. Final was not cumulative and was a similar length to the midterm. Final was pretty fair as well. You're allowed a letter sized cheat sheet front and back for the midterm and final. Grading scheme: 38% Final, 35% Midterm, 20% Homework, 7% Participation. Definitely a doable and relatively easy class.

If you can do the homeworks without cheating, you can do the exam easily. Her reason for not grading was that the distribution was left skewed, meaning if she used a normal curve it would LOWER grades rather than increase them. She said she would curve if it was needed at the end of the class. The reviewer complaining about this probably never watched a single lecture. Not a take home exam?? Why on earth would it be??

Lectures are fully recorded and participation is easy (just listen and wait for her to say: "OK, I've opened the attendance question, the answer the example to the problem we just did, its xyz"). If you miss some participation, just answer some BS questions on Campuswire since everyone works together to like each other's messages. If you really can't show up to any lectures, then pick a different class. It's an online class, not asynchronous.

Overall, the class was fine. Attend lectures and just wait for her to announce participation. Watch lecture recordings on 1.5x speed and answer some questions on Campuswire until you get Eagle. Have AI help you with homeworks but just bit a bullet and do it. The content isn't stupid but it isn't hard by any means and Professor Wang is good enough. If you have a modicum of effort to apply towards class then it will be a breeze.

Terrible professor. The midterm was way too hard, and not enough time was given. A quarter of the class failed - Median 86.5, Mean 77. When asked if she would curve, she basically said that we would have to wait until the end to see. The final was not a take-home exam and was a longer midterm that was even more time-constrained. It was 6 questions, about 4 parts each, in 90 minutes. She said in some announcements that terms did not need to be simplified on the exam, but docked people for not simplifying. Respondus Lockdown Browser was having constant issues across the board for many people. Not enough practice was given, and the exams were wildly different from the study guide and homework. I also suspect she uses ChatGPT to write some things for the course, given the random bolding and emojis in a lot of the materials

The only saving grace is that the class might be curved, but who knows? The syllabus says grading is done on a straight scale. I am writing this after the final and before my final grade

38% final, 35% midterm, 20% HW, 7% class participation

1% extra credit was offered for filling out the course evaluation

This is coming from someone who earned As in Physics with Corbin, Math 32A/B, and Math 33A, and achieved a significantly above-average score in CS35L with Eggert. This is by far the worst class I have taken

Professor is very dry and boring, a quarter of the class failed the midterm, attendance matters which sucked since her lectures were awful. I think if you put in effort youll be able to get a decent grade but yeah not an easy A for sure but also not a wow this is the worst class ive ever taken in my entire life. Also the textbook is so hard to digest by yourself so that sucked too. Lectures are audio recorded but not visually so another bummer. Midterm worth 35 final worth 45 participation 7% hw the rest

Attendance was required and part of the grade :(

I liked Professor Wang's class. If you actually go to the lectures, you will learn what you need to complete the homework and do well on the midterm. I will say, the lecture goes pretty fast, so you don't really have time to ask questions or process during lecture. I missed one lecture (they are not recorded) and the lecture slides are difficult to parse if you are not there in person. There is one in-person midterm and a take home final. The homework was relevant to the lecture material, and similar to the midterm, which was actually easier than the homework. She gives us a short break in the middle of each lecture which is nice too. Professor Wang takes attendance during each lecture, either through roll call or a super short attendance quiz. Overall, I would take Professor Wang again.

This was Professor Wang's first time teaching Stats 100A, and I think it showed. Lecture was incredibly dry, and she wasn't the best at explaining how to apply theorems to problems. Lecture was way too heavy on derivation, and not enough on problem solving or thought process or applicable examples. This led to HW being really confusing at times, but overall they weren't too bad. Tests were relatively easy, with a chill midterm and take home final. Overall, I found this class very mind numbing and boring, but it's not that hard to get a good grade. If all you care about is getting an A, I would take this class with Wang.