adriandecola / phys_computational_physics

This course covered computational techniques for situations that often arise in Physics, Mathematics, and Engineering.

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phys_computational_physics

Please note that instructor permission was given to share these projects.

This course covered computational techniques for situations that often arise in Physics, Mathematics, and Engineering. These topics included numerical integration, numerical linear algebra, model fitting, climate modeling, Monte-carlo simulations, the fast Fourier transform, and more.

I will use this as reference, but any file can be run in any jupyter notebook enviroment including: Jupyter nNotebook, Google Colab, and Ed.

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This course covered computational techniques for situations that often arise in Physics, Mathematics, and Engineering.

License:MIT License


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Language:Jupyter Notebook 100.0%