Prof: Juhyung Lee / Spring 2023
May 15, 2023
I was nervous going into this course because people make it out to be super difficult, but it wasn't nearly as bad as I expected. Homework assignments about every two weeks which are similar to problems gone over in class. Three exams (no final which was amazing) which are somewhat difficult because they have a lotttt of questions for only 50 minutes, but they are very similar to the practice exams so if you understand them you'll be fine. Also the exams are usually curved which helps. The content with them is mostly on par with what is covered in class/homework so nothing too crazy.
Exam 1 content was the most difficult in my opinion because we had to do stuff with integrals, the tricky part was mostly just finding the bounds, we were allowed to use calculators during exams that calculate integrals. Also cheat sheets on the exam were a major help. Exam 2 content was extremely easy, and exam 3 was similar to exam 2 but a little bit harder. Sometimes he'll throw in some R programming stuff but it's not super relevant to the course, pretty much just used as a calculator so you need to know some really basic functions for the exams but he goes over them in class.
He has really bad reviews on rate my professor but I didn't think he was an awful professor at all. I actually thought his lectures were helpful because he goes over a bunch of practice problems at the end of every chapter that you can reference during homework and practice problems are (in my opinion) the best way to learn. He seemed a little bit mean/strict but I never personally interacted with him.
Allocate plenty of time to study before the exams because you want to be able to do problems fast. Time yourself doing the practice exam. He posts like 500 "recommended problems" on canvas but don't feel like you need to do all of them. I'd say before the exams do a couple for each topic until you feel like you have a good understanding of it. It's not a bad course if you stay on track and understand the homework (don't just copy it from the internet because then studying for the exams will be way harder). The content isn't that bad especially compared to other classes here so just study smart and you'll make it through the class.
Prof: Demetris Athienitis / Spring 2023
Apr 10, 2023
This was a disaster. The assigned professor didn’t show up so my man Prof Athienitis had to scramble all course resources last minute as well as his TAs. Due to this all schedule got pushed back by a week.
I don’t know about usefulness but it was kinda interesting. Great introduction to R and R Studio.
Prof. Demetris Athienitis is pretty fair. Overall friendly. Very responsive and flexible. They had a Microsoft Teams where he would personally answer students’ questions. Great sense of humor.
Quizzes are difficult and exams are based on quizzes. Wish I’d studied for quizzes more.
Prof: Somnath Bhadra / Fall 2022
Dec 20, 2022
This course is historically quite volatile (depends heavily on the professor). With Somnath, the course was very manageable even without attending lectures.
Introductory statistics and probability (basically stats 1 & 2). Probability, random variables, hypothesis testing, regression, ANOVA.
Graded like an absolute legend. Provided front and back note sheet for each exam. However, lectures were difficult to understand, as he was new to teaching and had a moderately heavy accent as well as shitty handwriting. Didn't go to class after the second week, simply used lecture notes to get up to speed before each HW/exam and ended with a 103% in the class.
Figure out how your professor is going to approach the course and adjust accordingly.
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