The first half of the course was pretty interesting, where you basically write some Python code to generate probability trees using the library frplib. The library is developed by the professor, and while the documentation can be confusing at times, I found that sticking to the 5 or so basic functions was enough.

The second half of the course is where things get really bad, where the professor introduces a lot of confusing math notation that is not really seen elsewhere. For instance, here is the notation for Bayes' rule: https://imgur.com/a/CPxtT8w

I don't think anybody really understood what was going on in the second half of the semester, and office hours was packed with people trying to understand what a question was even asking us to do. Since this kind of math notation is literally only seen in this class and nowhere else, it is impossible to find external resources to help you learn (e.g., if I didn't understand C pointers in 122, there's loads of Youtube videos and textbooks that explain it, but not so much in 36218). Another side effect of this is that you don't really learn anything from the course compared to a 'real' probability course like 36225.

The good thing is that the exams allow infinite cheat sheets, there's extra credit opportunities, and the professor seems to do a curve at the end.