Professor
Chenlu Shi
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Most Helpful Review
Winter 2021 - Took Stats 101A with Shi. 2021 Winter, remotely Good: few homework, less content each lecture, take-home exam(24hours) Bad: she is late more than 5 minutes EACH lecture, harsh grader, no reply email, no argument of Grade, the whole quarter content can be learned 5 weeks. I learn much more from TA. Quiz is tricky each week and easy to miss.
Winter 2021 - Took Stats 101A with Shi. 2021 Winter, remotely Good: few homework, less content each lecture, take-home exam(24hours) Bad: she is late more than 5 minutes EACH lecture, harsh grader, no reply email, no argument of Grade, the whole quarter content can be learned 5 weeks. I learn much more from TA. Quiz is tricky each week and easy to miss.
Most Helpful Review
Spring 2020 - 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.
Spring 2020 - 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.
AD
Most Helpful Review
Fall 2021 - This review is for Stats 101C since there's isn't a 101C page for her. I found her lectures to be very dry so I didn't go and just ended up reading the textbook which was far more helpful. Her class is pretty easy. The grading scheme is 25% homework, 35% midterm (24 hour take home), and 40% final exam project. The final exam project was a competition on Kaggle along with a project report. The grading on the homework and midterm were extremely lenient and I did good on all of those. However we never got a grade for our final exam and I somehow ended up with a B+. There were 6 homework assignments, each assignment being only 2-3 multipart problems but it was easy to do since the problems were from the textbook. I think professor is nice. She recorded all the lectures and posted her slides so you don't need to go to class. I don't think I learned a lot in this class so I don't know if I'd take another class with her again.
Fall 2021 - This review is for Stats 101C since there's isn't a 101C page for her. I found her lectures to be very dry so I didn't go and just ended up reading the textbook which was far more helpful. Her class is pretty easy. The grading scheme is 25% homework, 35% midterm (24 hour take home), and 40% final exam project. The final exam project was a competition on Kaggle along with a project report. The grading on the homework and midterm were extremely lenient and I did good on all of those. However we never got a grade for our final exam and I somehow ended up with a B+. There were 6 homework assignments, each assignment being only 2-3 multipart problems but it was easy to do since the problems were from the textbook. I think professor is nice. She recorded all the lectures and posted her slides so you don't need to go to class. I don't think I learned a lot in this class so I don't know if I'd take another class with her again.
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