MaterSim/ComputationalPhysics300
computational physics class taught at UNLV (Phys300)
This course material provides an introduction to applying computational methods for solving physics problems. It takes students from foundational Python programming concepts to advanced topics like Fourier transforms, Monte Carlo simulations, optimization, and machine learning. Undergraduate physics students interested in scientific computing and data analysis would use these materials.
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Use this if you are an undergraduate physics student looking to gain practical programming skills to solve physics problems and analyze scientific data.
Not ideal if you are looking for advanced research-level computational physics techniques or a course not centered on Python programming.
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Sep 08, 2022
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