Advanced Math for Computational Material Science Engineering

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SUMMARY

The discussion centers on the optimal selection of mathematics courses for an undergraduate student pursuing a degree in Materials Science and Engineering (MSE) with a focus on Computational Materials Science. Key recommendations include prioritizing Linear Algebra II and Intro to Analysis, while suggesting that Abstract Algebra may be less critical unless personal interest or time permits. The student is considering sacrificing a Batteries course to accommodate these math classes, which is deemed acceptable if committed to a computational or theoretical track in MSE.

PREREQUISITES
  • Understanding of Computational Materials Science principles
  • Familiarity with numerical methods
  • Knowledge of Ordinary Differential Equations (ODEs)
  • Basic concepts of Partial Differential Equations (PDEs)
NEXT STEPS
  • Research the curriculum for Linear Algebra II to understand its applications in MSE
  • Explore the topics covered in Intro to Analysis and their relevance to computational methods
  • Investigate the role of Abstract Algebra in advanced materials research
  • Learn about the significance of Batteries in MSE and how it integrates with computational studies
USEFUL FOR

This discussion is beneficial for undergraduate students in Materials Science and Engineering, graduate school candidates focusing on Computational Materials Science, and educators advising students on course selection in mathematical foundations relevant to engineering disciplines.

Copar
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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?
 
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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.
 
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Copar said:
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.
 

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