Courses Advanced Math for Computational Material Science Engineering

  • Thread starter Thread starter Copar
  • Start date Start date
AI Thread Summary
An undergraduate studying Materials Science and Engineering (MSE) in the US is seeking advice on prioritizing math courses for a focus on Computational Materials Science in graduate school. The student plans to take essential math courses, including numerical methods, ordinary differential equations (ODEs), and partial differential equations. They are considering additional courses such as Linear Algebra II, Abstract Algebra, and Intro to Analysis, and are willing to sacrifice a Batteries course to fit these in. Recommendations suggest prioritizing Linear Algebra II and Intro to Analysis while considering the necessity of Abstract Algebra based on personal interest and time constraints. The discussion emphasizes the importance of aligning course selections with the computational and theoretical aspects of MSE.
Copar
Messages
11
Reaction score
1
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?
 
Physics news on Phys.org
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.
 
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.
 
After a year of thought, I decided to adjust my ratio for applying the US/EU(+UK) schools. I mostly focused on the US schools before, but things are getting complex and I found out that Europe is also a good place to study. I found some institutes that have professors with similar interests. But gaining the information is much harder than US schools (like you have to contact professors in advance etc). For your information, I have B.S. in engineering (low GPA: 3.2/4.0) in Asia - one SCI...
I graduated with a BSc in Physics in 2020. Since there were limited opportunities in my country (mostly teaching), I decided to improve my programming skills and began working in IT, first as a software engineer and later as a quality assurance engineer, where I’ve now spent about 3 years. While this career path has provided financial stability, I’ve realized that my excitement and passion aren’t really there, unlike what I felt when studying or doing research in physics. Working in IT...
Hello, I’m an undergraduate student pursuing degrees in both computer science and physics. I was wondering if anyone here has graduated with these degrees and applied to a physics graduate program. I’m curious about how graduate programs evaluated your applications. In addition, if I’m interested in doing research in quantum fields related to materials or computational physics, what kinds of undergraduate research experiences would be most valuable?

Similar threads

Back
Top