This is mostly a conceptual course. Thankfully, Deep's explanations make everything very clear. Although lectures are (effectively) optional, it would be to your benefit to always show up to them.

Worksheets can be difficult, especially in the beginning of the year, but that's nothing unusual. After all, this is your standard APMA class (minus the terrifying math). It is very easy to get an A in this course if you study occasionally and work to understand the concepts.

#tCFF23

#tCFF23

I personally struggled with Prof Deep's lectures, so I didn't attend and instead focused on the textbook, which was VERY good. You get about 4-5 worksheets per week that are due on Sunday night that help you practice the material (graded on accuracy). There is also a WebWork due once a week. Personally I found that the worksheets helped me stay on the same page as the rest of the class even when I wasn't attending lecture and only reading the textbook.

This course has been reworked to introduce R. R is a programming language used to do statistical analysis. You will start using R as part of project assignments for which you are given most of the code. Increasingly you will be expected to become more independent until the second midterm and final exam, which both have take-home portions that require the use of R.

This course is very useful if you plan to go into any research field, and for any lab class (cough cough BME IDEAS lab)

Tips for success:
- read the textbook
- learn how to actually use R during those first few projects
- do the practice problems. his exams are pretty similar to those
- start the worksheets earlier in the week (not like me lol)
- download RStudio, an IDE for R

The class was fine. The instructor is not as bad as the reviews say. I'd say that looking through the pre-lecture material and then physically going to class was useless since he was practically redoing and regurgitating the pre-lecture videos during class. He is, however, pretty helpful with doing the projects and tries his best to make sure his students understand the material. There could have been more TAs in class; sometimes right before projects were due, he would be rushing to help everyone.

#tCFfall22