Introduction to Computational Statistics with R
Winter 2018 - Aside from his highly confusing exam questions, the homework problems are REALLY hard. You are basically required to build extra complicated codes based on his lectures navigating basic R and some library stuff. I believe taking STATS 20 is not enough to prepare this class. Be sure to come up with decent programming skills to survive in this class. Pros : His lectures are so organized that you can easily study via the videos on CCLE and the lecture notes. He gives lots of extra credits toward the end of quarter.
One of the most awesome professor ever in UCLA. She is so helpful during her office hour. She would try her best to solve every problem you have but without telling you the answer directly. The lectures were OK,just like other normal lectures(the good ones). Not to mention she brought a whole bag of candy for the class on Halloween. I will definitely take her again if I have a chance if I probably will for stats 140SL. BESTEST professor eva!
Summer 2019 - I took mike's stats 20 before, mike is very nice, especially on curving. I was glad that I took his 102A, but unfortunately we had a WORSE TA. In my session, 50% hw, 10% midterm, 10% midterm project, 15% final exam, 15% final project, 0.5% campus wire for extra credit. I do not know why and how can one TA do so much stuff. If you have JAKE as TA, drop the class. JAKE is the WORSE TA I have ever met in UCLA. felt like JAKE made all the hw, and hw never matched the lecture, they were not on the same level, it just like prof. teach you how to calculate 1+1, and the hw ask you to take the partial derivative of the function. Midterm project, final project tough. The midterm was super TOUGH, within 50 mins, undoable questions. Final was better than midterm but still TIOUGH and not related to the lecture. I felt sad that I did not hear JAKE before 102A, if I know he is this kind of person, I would drop the class immediately. TRUST ME.