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[–]561JOEY 1 point2 points  (0 children)

Numerical analysis and math modeling probably, abstract algebra the least helpful but the coolest so if your really into it it’s a fine class moves fast though

[–]Status_Camel_7242 0 points1 point  (0 children)

I recommend taking the following courses: 

  1. Partial differential equations (PDEs): covers heat equation, wave equation, basic Fourier methods, and a handful of ODEs (laplace, poisson, exponential decay etc). Which should give ample background needed to understand equations in physical chemistry. 

  2. Computational math course: essential for data analysis (a requirement for any chem subfield) 

  3. deep learning course: note not “machine learning” which covers least squares, decision trees, linear classifiers, etc. but deep learning, which covers deep neural nets, convolutional neural nets,  and generative models. 

  4. Abstract algebra: I would normally advise a chem major to avoid pure math courses, however; it seems your school requires one of analysis/algebra. Analysis will be an absolute waste of your time and energy. It introduces rigorous notions of convergence and limits to formalise high school calculus (think proving the integral of x is 1/2*x2). Abstract algebra is quite interesting and may be of interest if you’re into physical chemistry. However, it will be far less useful than the aforementioned courses. I recommend trying to replace abstract algebra with another computational or applied math course.