I love Mike omg he's one of my favorite professors in the stats dept. He really cares about his students and wants us to deeply understand the material that he's so passionate about (he literally said every method we learned in this class was his favorite lol). I also had him for Stats 20 in Fall 2019 (which is when the homework/tests changed although it was still a great class, most people just complained cause of grading and making you think critically in a different way imo). Mike's 102C is more on the theoretical side than Prof Miles Chen, but there is still programming in R for simulations and sampling. Def brush up on 100B as you'll need it. Mike is helpful in OH and on Campuswire, and we got 1% EC for Campuswire or attending discussions (grading scheme 40% HW 60% final). He gave us 48 hours on our take home final (no internet, only class notes) which was incredibly generous. His homework and exams are just extensions of his lecture slides. Lectures were prerecorded and during our "lecture time" it was basically OH. Would recommend taking a class with Mike if you can!

Look, I hear Stats 13 is the easiest pre-req for LS majors. I am usually an A student, and was expecting this class to be a breeze. But, due to online learning, Tsiang made his exams a lot harder than it was in person (he used past exams as 'practice tests' even though they were wayyyy easier than the actual exams.) Recorded lectures were pretty straight forward, and I thought that I was well-versed in the material. Fast forward to Exam 1, I got a 77% (class average was 78%) and I was shook. Most questions were short answers, so I got many partial credit, and only got 1 multiple choice answer wrong. For the final I got a 75% (have no idea what was the class average), but same deal. To be fair, the exams are open note that's why they are harder, but even then, I was surprised since I'd do very well on the homework. According to syllabus, I had an 85% in the class, but Tsiang adjusted the grading scale to fit distributions, so I ended up with an A-. I am not too upset, since I was expecting a B, but I wish I would have been prepared on how detailed I needed to be when it came to short answer questions. Also he bombarded us with lecture videos Week 5, and it was just a bit too fast-paced and it was frustrating. I had many peers feel the same way as well. But at the end of the day, I really liked Tsiang, he's a good professor and cares about his students, I just didn't have that much interaction with him due to chaotic home life and to be honest, laziness to attend office hours.

The practice midterms and exams are definitely not reflective of the actual midterm and final, which really threw me off since they were more difficult...almost ambiguously and confusingly difficult. Exams were hard and I get why Dr. Tsiang made it harder due to remote learning. Nothing can really prepare you for it since there's no "practice exams/midterms" for remote learning. Recorded lectures were long and he read from the slides but it was digestible and Dr. Tsiang just followed the textbook (that is not required!) I really appreciate Dr. Tsiang not mandating purchasing textbooks and materials for the course.

Aside from emails, the primary mode of correspondence for this quarter was a Discord server which I really didn't go on much except to clarify a few things that someone else already asked.

His love for Parks and Rec definitely permeates into the course, so if you're a fan, you'll appreciate the incorporation of the show into the work...if you're not, just nod and smile.

Labs are easy since the TA just uploads the video doing the lab step by step, question by question. No problems with that. Labs were probably the easiest thing to complete from this course.

This is a class many of y'all probably need to take, so just bite the bullet now and take it and hold on. Don't let go or fall off the wagon mid-quarter and don't let time slip away.

This was the worst class I took at UCLA. I changed it to P/NP because I literally thought I was gonna fail. The highest grade I got on an exam was 35%. Yes, in the end it was curved. But the stress/depression that this class caused me was not worth anything. The TA (I had Jake) was intimidating, not helpful whatsoever, and smug! The lectures were actually super clear and the notes were helpful so you'd think it would be straightforward! But it wasn't at all...it was like learning the ABCs in class then having to write your own code for ranked choice voting for homework. For an introduction to programming class, it was absurd. They said you didn't need any prior experience coding to excel in the class but this was not the case at all. Not to be dramatic but I wouldn't recommend this class to my worst enemy

Take stats 10 with Tsiang! He’s so passionate about the subject, and really cares about his students. I have yet to meet another professor who shows this much kindness towards their students. There are two midterms (each 20% of your grade) and one final (30%). The weekly quizzes are worth 10% (lowest one dropped) and the labs are 15% of your grade. Everyone receives the full 5% for homework even though he doesn’t collect any. The midterms were relatively easy, and the final was a bit harder but I didn’t prepare much for it. The averages were low As high Bs for the exams since there were about 25-30 questions for the midterms. Thus, one question wrong is a couple percent off but the tests were extremely fair. Tsiang is also really good at replying to emails or on Piazza, and is ALWAYS willing to help. He really wants the best for his students!

I had no stats background coming in but I thought this class was very fair and doable. Prof Tsiang is relatively new but he lectures well and the slides are well-organized. The labs were a bit annoying and I got marked for little things but everything else including the exams were pretty straightforward. Tsiang really cares about the students and their health. I would recommend Tsiang for Stats 10 and overall it was a decently interesting class. Btw this class is NOT a joke, you still have to put in some studying time obviously. I would say it's on the easier side when it comes to STEM classes but it wasn't a class that I didn't have to study for at all...unless of course you got a 5 on the AP stats exam, then I'm pretty sure it's very basic review.

Disclaimer—I took this class over the summer and online, which made the scheduling very wonky so my experiences as described below may not be indicative of a typical in-person session of this class.

Overall, this was a very good introductory programming class. No prior programming knowledge is assumed, and Dr. Mike (don't call him Professor Tsiang!) designs it such that prior knowledge of R won't even help you very much. In particular you are prohibited from using functions or structures that he hasn't yet talked about in lecture, which to me has some teaching benefits but also some drawbacks, as at times I and other students were unsure or had trouble remembering what we were and weren't allowed to use. Dr. Mike lectures in a way such that you won't just memorize a bunch of names but actively understand the theory and reasoning behind functions and structures, and his exams reflect this as they contain theoretical questions in addition to the traditional writing and debugging of code.

There were no live lectures save the introductory one on the first day. This also had major benefits and drawbacks. It was nice to be able to rewind and pause when needed, but a major downside was that it was impossible to space out all the lectures so each scheduled day would have 110 minutes' worth of content. This resulted in some days having insanely short lectures while others would far surpass two hours. Likewise, the length of the weekly homeworks tended to vary significantly, and the busiest week overall (in my opinion) was the week of the midterm. However, I wouldn't blame this on poor scheduling by Dr. Mike, I think it was merely an unfortunate consequence of the weird summer schedule.

Your grade consists of one midterm (two hours), the final (three hours), a final project, weekly homework (graded on satisfactory completion), and participation on Campuswire. Dr. Mike actually canceled the final project for us since the last two weeks were somewhat crammed, especially with the Labor Day holiday. Don't be afraid to ask him for extra accommodation if you need it, he is a very understanding professor and will try to work out a solution for you.

Professor Tsiang is by far one of the best professors I have had at UCLA. He is such a genuine, kind, man and truly cares about each and every one of his students. He values students' well-being over grades and constantly reminds everyone of how important their mental health and well-being is. His class is extremely fair, very intriguing, and perfectly taught. He's also super funny and make lecture as enjoyable as possible. TAKE STATS 10 WITH TSIANG, you will not regret it!!! Best professor ever.

Not only he’s a good lecturer and teacher, he’s just an amazing person. He’s very nice, listens to your concerns and cares about students. The practice tests he gives before the exams are very helpful and the handouts are very clear so you’ll know what exactly is expected from you to know. Take him!!

Easily one of the all around best professors I've had at UCLA! Passionate about the material and genuinely cares for students. His class is very organized and structured, with weekly/bimonthly assignments (homework/quizzes/labs) and very detailed and helpful slides that he posts. Definitely a great lecturer too; he doesn't just read from the slides, and he adds silly humor throughout. He not only cares for students' learning and mastery fo the subject, but also about our well being, mental health, etc. Homework isn't turned in (everyone gets full 5%), two midterms, one final, labs, and online quizzes. Don't have to go to lab/discussion if you download Fathom for labs. Definitely recommend!!