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I am very grateful to have had Professor Shi for Stats 101B. She is very kind and always willing to answer questions at the end of every lecture. She also made accommodations for the class because of the ongoing protests and coronavirus pandemic by offering multiple lenient grading schemes, so you'd pass the class with a P (or C at worst), unless you absolutely bombed the homework assignments and midterm. This was also her first quarter at UCLA as a professor, so hopefully the stats department retains her.
The workload of this class is very manageable. There were 6 homework assignments (the one with the lowest score is dropped) and none of them were more than 3-4 problems. They were very similar to the examples in lecture slides and as long as you followed her code examples you'd be fine. The midterm was fair, but you just had to be very careful with the wording of the questions. The final was similar in difficulty too. Both exams were primarily multiple choice and some fill-in-the-blank questions.
If you took 100B and/or 100C, most of the beginning topics will mostly be review since you start out with basic ANOVA and hypothesis tests. However, the second half of the course can be kind of overwhelming at times when you're dealing with multiple factors and all the interaction effects.
Overall, I would recommend taking this class with her! I'm not sure how the in-person version of this class will be but it is worth taking if she's teaching.
We all know that Stats101B itself is pretty challenging. Basically, professor Chenlu gives decent summarized slides of the textbook, but still, I had to read the textbook for solid understanding. And basically, the homework wasn't that hard, but the midterm and final were very confusing and tricky. She curved a lot because the average scores were lower than 70%. Overall, I liked this class, and I loved her talking style.
Note: This review is from Spring 2020, which was conducted entirely remotely due to the COVID-19 pandemic.
Professor Shi taught this course relatively well considering the circumstances. She was able to adapt as the quarter progressed, slowing down the pacing of the lectures to accommodate the students and ensure greater understanding. The lectures were straightforward and recorded so that they could be watched at a later time, should one choose to do so. Furthermore, she updated her lecture slides with clean, typed, and formalized notes after the completion of each lecture; these slides were more than sufficient in terms of relating the material learned.
With respect to the assignments and exams, there was a slight discrepancy, but nothing too egregious. The homework assignments were pretty straightforward but could be mind-numbing at times because of the monotony of plugging in code. The later assignments seemed to be less code and more analytical, but it was still a tad tedious. The tests, both the midterm and the final, were open-book but difficult nonetheless. Despite all of this, I feel as if they truly helped us gauge our understanding of the course material. With respect to the final grade, my friends told me that she curved rather generously after looking at the distribution.
TL;DR: Professor Shi gives straightforward, easy-to-follow lecture notes that help teach the material while also adapting the pacing to meet the needs of the students over the course of the quarter.
Lectures are on the unclear side (this was her first quarter teaching) but overall she is very kind, helpful and a pretty unintentionally funny person (she would giggle a lot when asked questions which I thought was really funny lol). Didn't put in much effort in the class so I ended up P/NP, final was really difficult but midterm was decent and homeworks were light and easy and spread out so she def didn't overload in terms of workload. Overall would really recommend she provides a lot of help when needed and I did learn a decent amount!
The homework assignments were very doable, and you must get good grades from there. Homework grading is very generous, but her final exam was kinda hard even though they were open book. This quarter I did not study much and my exam grades were just bad, but she curved so generously. Also, she posted her lecture slides and videos for those who have time conflicts. I would definitely take her for the future quarters.
I second the other review. Shi is an excellent choice for 101B because her lectures were clear and she gave helpful additional R code worksheets if you wanted to use R for the homework instead of manual computations. Her exams were fair; I felt like I did have the chance to demonstrate my knowledge and you can tell they were fair based on the even grade distribution (the final on the tougher side though).
She is very kind and considerate of what students are going through right now and was always willing to answer questions in lecture.
I recommend downloading the textbook to work through additional practice problems for the exams, but the lectures were already a useful resource.
Also, I had Diana Zhang as my TA and attending her discussions was very helpful.