Advanced Math for Computational Material Science Engineering

[Copar]

I am an undergrad studying MSE in the US. I plan on going to grad school for MSE.

I love math and am interested in Computational Materials Science, so I am seeking advice on how to prioritize classes.

I'm planning on taking math courses related to numerical methods, ODEs, and partial differential equations.

However, here are some other math classes I identified as potentially useful for Computational MSE and MSE grad school (plus they look fun!):

1) Linear Algebra II
2) Abstract Algebra
3) Intro to Analysis

Will these courses be useful for MSE grad school / computational MSE?

It is feasible that I can take these courses before I graduate, but I will have to sacrifice a course on Batteries. That's a sacrifice I'm willing to make, but I'd like to get your advice first. What would you do?

 

[jedishrfu]

My suggestions, if you can manage it, are to:
- Take Linear Algebra II and Intro to Analysis before graduation.
- Avoid Abstract Algebra unless you have time or personal interest.
- Only forgo the Batteries course if you’re committed to the computational/theoretical track.

It's Abstract Algebra vs Batteries.

 

[berkeman]

but I will have to sacrifice a course on Batteries.

Can you post a link to this course? I'm curious what they cover and at what level. Thanks.