Tsiang is an excellent lecturer and his emphasis on learning makes the class worthwhile. If you are a stats major, this class is IMPORTANT. The amount of material that is covered to prepare you for the 101 and 102 series is insane. I wish I tried a bit harder to understand the concepts because honestly I got my ass kicked in 102A. So put in the time now! I went from scoring 30s and 70s on the homework (graded on completion) and then I got my shit together and started getting 100s. PUT IN THE TIME! Tsiang pays attention to your progress, so don't focus too much on your midterm/final/homework scores. As long as he sees you are trying to understand the concepts, you will be alright!

I know there are a lot of grading schemes/grading breakdowns for Tsiang but here's summer 2021:

20% Homework (HW 4 had an extra credit opportunity but had no idea if it was actually given)
30% Midterm
35% Final exam
10% Final project
3% Discussion Attendance
2% Campuswire Participation (Opportunity to get 1% extra credit through lots of contribution)

Later on the quarter, Tsiang canceled the Final Project and made the grading scheme
35% max(Midterm, Final Exam)
30% min(Midterm, Final Exam)

Grading Distributions for exams were
Midterm 1: Q1: 74.75, Median: 84.50, Q3: 92
Final: Q1: 67.50, Median: 78.33, Q3: 84.50

If you have coding experience, this class should be relatively easy (especially the first half). I would highly suggest taking at least PIC 10A before taking this course. Without any sort of coding experience, unless you are very on top of it, this class will leave you confused. I think Tsiang is honestly a great Professor. I didn't attend discussion nor lecture so I cannot comment on his teaching style, but he is very timely with his responses to questions, gives ample studying materials, and is looking out for the wellbeing of his students (I know that other reviews contradict that last statement - maybe he changed but at least in my eyes he was very good about this). His typed up notes are amazing and if every prof released something like that, we would have nice things. The TA seems nice and probably is good but someone else's review could better justify that. ALSO THERE IS A MASSIVE CURVE. I don't know the exact one but so long as you score about Q3-Median, you can probably get an A-. I scored 91 and 85 respectively for the exams and got an A. Also, don't stress about Homework. Definitely try because it is good practice for the exams but they are free 100s (even if you can't do it 100%). The exams were very fair and doable. The timing wasn't bad at all and I also had about 20-30 minutes afterwards to check stuff. Overall, I'd take another class with Tsiang

Took this class over session C and to be honest was a little hesitant after reading reviews / hearing opinions of past students. I’m so happy I didn’t drop it and took the course with Dr. Mike. I should mention that R was my first programming language, and prior to this course I had only worked with R in a very superficial manner in another course. I think the class was split between students who had more programming experience and those that didn’t, so (as someone who compares themselves to others) it felt like I was behind the curve at times. I brought this up once or twice with Dr. Mike during office hours with other students and he always reminded us that we were doing fine and to specifically stop comparing ourselves to others. He also would remind us that it was normal to master some of the concepts in the course, as attempting to learn a programming language in 6 weeks is an especially difficult task. Dr. Mike always made himself available for questions on the course, however what I appreciated the most was that he would also be willing to talk about things outside of the course material: grad school, upper div stats courses, life, really anything.

HW’s assignments are graded upon completion, but there has to be an effort to solve the problems. The questions can be pretty difficult if you’re new programming BUT if you’re actually trying to learn the material they genuinely did help drive the concepts home (at least for me personally).

The midterm and final were definitely hard, however there was a strong curve in the class based upon the grade distributions and other factors. I got a 75% on the midterm however that translated to an A/A- after the curve.

All in all the course was difficult but rewarding. Dr. Mike was extremely passionate and empathetic toward his students and I would 100% take another course with him again. I would definitely recommend going to office hours each week to discuss HW’s and Exams as it gave me the opportunity to get out of my comfort zone and ask questions. I never felt like my questions were “stupid” or anything, which is a big fear of mine.

Super easy!! The TAs are really helpful and the professor is super sweet and not intimidating at all. They all clearly care about students. The material is also very simple at first and then gets more interesting as you go, but never more than manageable. Highly recommend this class, it was a perfect summer class

Overall I think Mike is a great professor. His class isn't as absurdly hard as some of the reviews make it seem. The homeworks definitely take awhile but if you put the time and effort into doing the homework then it definitely helps you with the tests. I definitely recommend taking the class with Mike because he's one of the few professors that I've had who seems to truly care about his students and their learning. Definitely worth it

Professor Tsiang in amazing professor who really tries his best to make sure that his students are learning. His exams are pretty straightforward, and he has no curveballs or tricks on them. He also really cares about our physical well-being and mental health, which is much appreciated. He is quite approachable, and will help you in any way that he can. I highly recommend him for Stats 10, as he is probably the best professor you could have for an intro statistics class. You will not regret taking this class with him.

The course difficulty has been toned down. HWs are difficult to complete and require you to think outside the box, but graded on completion so you will be fine if you put in a solid effort. Attendance at lectures is not mandatory (they are posted online), but discussion sections are. The tests are difficult, but partial credit is given and they are also curved. Mike is by far the most responsive and approachable professor I've taken a class with; he wants you to succeed.

Professor Tsiang is one of the nicest and most understanding professors I've had at UCLA. He genuinely cares about his students' wellbeing and whether or not they understand the material. There are suggested homework assignments, but they are not required and automatically everyone gets 100% in homework (which is worth 5% of the grade). There are 10 online quizzes, 5 labs (1 due every two weeks) and a final. For each of the midterms you get one 8.5"x11" front and back page of notes and for the final you get three 8.5"x11" front and back pages of notes. This was my first statistics course I've ever taken and I felt like I was able to learn a lot and at the same time didn't feel like I was stressing over my grade, which I believe was his intention. I recommend this class and professor to anyone who loves or hates math or just needs to fulfill a requirement!

For background, I had absolutely zero experience with any coding language, besides the 3 days I spent on codeacademy to try and prepare for this class.

I must say that for one of my first in person class and intro to code, Prof Mike made it very enjoyable and not as intimidating as I thought it would be.

For one, he is a very understanding professor, dropping a hw grade (that was based on effort to begin with), changing the grade scheme to help with grade anxiety, etc. I was even able to change final dates as a result of a test conflict!

Prof Mike is also very approachable (despite me hardly approaching him but that's because I had to commute).

The hard part about this class is probably just the homework for me. I wanted to really try my best and sometimes that wasn't enough to get through the intermediate problems. The LAs are helpful, as I went once to an office hour and got through a problem. Eddie was my TA and he was also very helpful in discussions. The midterms, while heavily dependent on the free response, were difficult but not impossible for me, so long as you study code! It's important to know what you expect to come out of a command and that method of studying was very helpful once I finally figured out how to study for this kind of class (Midterm 2 made me feel bad but I didn't do horrifically).

Overall, I do suggest that you at least watch the lectures if he continues to BruinCast, as that is what I did after I was tired of driving to school everyday for 3 weeks. Being there actively really helped me succeed as I did WAY better than I thought in terms of my coding knowledge. Definitely would live to take Mike as a professor again in the future!

Professor Tsiang is honestly one of the best, if not THE best professor I've had at UCLA. I've never taken the time to write a review about any professor before, but Tsiang truly cares that his students understand the material and do well in the course. He specifically said at the beginning of the course, "If everyone does well in this class, everyone will get A's. There is no curving down." He also cares so much about the mental health of his students so it is a very refreshing environment compared to other classes. I HIGHLYYY recommend taking his class if you can