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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?
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?