STAT W2024

Not bad. HW basically graded on completion (50%), 10% quiz, 15% midterm, and 25% final. You get an A if you pass overall 94%, but he kinda curves with his own formula.

For Applied Data Mining: 4 homework assignments 5-hour take-home midterm (which he never graded) A take-home final project; instructions were incredibly unclear so it took me about 4-5 full days (and I've confirmed this with others as well) For Applied Linear Regression Analysis: I think 6 or 7 homeworks (lowest grade was dropped), 1 midterm, 1 final, and a group project.

Homework 20% (a lot of work). Midterm 30%, Final 50%, and the only way to prepare is to do the practice exam. I would suggest you read the book.

Assignemtns are weekly homeworks you need R to do them, very easy to learn over the course of the semester. Midterm is super similar to practice midterm and homeworks. Not a huge burden, plus her lecture notes that she uploads are WONDERFUL. LOVE HER TAKE HER CLASSES

Midterm, Final, bi-weekly homework. Not bad-- the homework can get a little time intensive but if you distribute it over the two weeks that you are given to do it then it isn't bad at all.

I agree that Rabinowitz is not always the best explainer of things. Obviously hes really brilliant but he can't communicate concepts effectively to students because he likes to use vague hand gestures and often illegible scribbles on the chalkboard. However, he tries his best to help students like me who don't know what they are doing. He will never stop explaining things until a student finally understands it. Overall, given the awful reputation of the stat department, I'd say Rabinowitz is nevertheless one of the best. No ambiguities in grading, and if you put in work to understand the concepts, you will do well.

Professor Emir is awful. I am writing this having (unfortunately, because of requirements) taken two classes with him in the last two semesters. I attended every class both semesters and did well both times (at least from the grades I have so far of Applied Data Mining), so while many people are critical of their professors when they do badly and/or never show up to class - I was there the whole time and really know how bad he is. The only way I was able to do well in these classes was by spending excessive time reading and re-reading the textbook and other materials I found online and going to office hours as often as I possibly could. I learned absolutely nothing from Professor Emir. He comes unprepared to class. Yes, there are lecture slides that he has to pull up on the screen, but he does not prepare any of these himself. The slides consist of either screenshots of the textbook pdf and entire lectures using slides he found online (I've found them online too). When he goes through the lecture slides during class, it is often clear that going through them during class time is the first time he has ever looked at them (because whatever he has on the slides doesn't even make sense to him). For Applied Data Mining, he never graded the midterm. It was a 5-hour take-home on the Thursday after Spring Break (March 26). I am writing this on May 16, after all our final exams are ove…

The last reviews give each a very different picture of Prof. Feng and his class. I would say that the truth is in the middle. He is a good lecturer but sometimes he is dry, and the slides are taken directly from the book. He is very nice but sometimes a little condescending. The midterm and finals are doable (do the practice exam over and over!) but the homework assignments take a lot of time. The curve is very good. Prof. Feng is very young and I'm sure he will become an awesome professor.

I thought Linear Regression was going to be hard, but she's so brilliant like actually. I took this Fall 2025 only have take intro stats at community college and it's so doable there's very little math and coding in R is really easy to learn, there's barely any code on the midterm. It's very very chill in that sense.

Professor Young... what a guy! A very rare gem in the Statistics department-- he really cares about his students, and you can tell very easily. He holds multiple office hours a week to help kids with homework, and is extremely kind and accommodating. He is an extremely sweet guy, and very honest and genuine. Additionally, he speaks clearly, is receptive to his students and has a slideshow prepared for every day. Statistics is not always the most interesting topic-- and Professor Young KNOWS this. In fact, during lecture, he will often say things like: "Sorry, I know this is super boring. But it is also really important!" However, for the really complicated things, he doesn't always explain in the best way. For example, he will put a really mathematically intense equation on the board and then say, "Well I hope that makes sense." Overall though, he is really a great professor, and probably the best one in the Stats department.