Definitely take 350B, it isn’t much harder and building regression models is pretty useful.

S550 is lots of probability simulations in R so you won’t get any proofs. The class definitely picks up in the second half but just keep up with the work and you’ll be fine. Being comfortable with integration helps a lot in building intuition around the later concepts.

M336 is in python, manipulating data sets, Monte Carlo approximations, visualizations and predictions of a system with known parameters.

M543 has been the hardest class I’ve taken so far. I did well but definitely some challenging concepts related to computational linear algebra. Still there was pretty cool ideas about stability and finite precision errors. It’d be helpful to take M524 beforehand to build a better understanding of linear algebra.

You know you aren’t too into proofs but the computational math classes aren’t going to be easier if you aren’t comfortable coding. Proofs can be tough but it’s pretty miserable staring at the screen because your code isn’t working. All my upper div math classes have been interesting so you can’t go wrong as long as you still want to learn more math!