What are the best skills to self-learn as a third year physics major?

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SUMMARY

A third-year physics major seeks self-learning skills that complement their coursework without requiring extensive collaboration. The discussion highlights programming, specifically C/C++, MATLAB for numerical analysis of differential equations, and SQL as valuable skills. Additionally, improving writing skills and acquiring basic Linux and LaTeX knowledge are emphasized as essential for graduate studies. The consensus suggests starting with Python or Perl to grasp programming fundamentals before transitioning to more complex languages like MATLAB.

PREREQUISITES
  • Basic understanding of differential equations (ODEs and PDEs)
  • Familiarity with programming concepts
  • Knowledge of Linux operating system basics
  • Experience with LaTeX for document preparation
NEXT STEPS
  • Learn Python programming for foundational skills
  • Explore MATLAB for numerical analysis of differential equations
  • Study SQL for database management and data manipulation
  • Improve writing skills for academic and professional communication
USEFUL FOR

Third-year physics majors, aspiring graduate students, and anyone looking to enhance their programming and technical writing skills in preparation for advanced studies or careers in science and technology.

flemmyd
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I'm a third year phys major, unknown specialty.

I'm just asking what are some good skills to self-learn, as opposed to spending time learning in a class. Something where it's not difficult to learn just by doing problems, as opposed to having a real benefit to talk to other people. So I probably couldn't just do quantum mechanics problems and learn quantum. I really feel like that kind of subject would help having someone to talk with me about it.

Also, I'm looking for something that's more a free time/erratic rather then something I would sit down every week. I want to make sure I have time to take care of my essential coursework (e&m sounds like its going to be difficult...)

I was thinking programming (c/c++ or matlab/mathematica). particularlly numerical analysis of DEs using MATLAB (I have a background in doing ODEs and PDEs analytically...) and SQL. part of the reason I've been leaning towards computer-based topics is because it allows me play with the code/algorithms and can see how everything works without having to worry about getting expensive lab equipment (ie. hit compile and get a sandwich) but I am curious as to what other people have in input.
 
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Look to improve your writing skills. It will help you in any field you wind up going into after undergrad.
 
Basic programming is pretty much an essential skill for any graduate student in physics. I'm always surprised how many students don't know any programming when entering grad school and have to learn it the first time a professor assigns a programming problem. Also, it would be useful to learn some basic Linux skills, along with LaTeX.

If I were you, I'd start with a language like Perl or Python to figure out how programming works. MatLab isn't quite the same. You can always pick up another language after you learn how the computer thinks.
 

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