Computational Physics
Lecture
Main Campus
Course Description
Numerical methods for solving problems in mechanics, astrophysics, electromagnetism, quantum mechanics, and statistical mechanics. Methods include numerical integration; solutions of ordinary and partial differential equations; solutions of the diffusion equation, Laplace's equation, and Poisson's equation with various methods; statistical methods including Monte Carlo techniques; matrix methods and eigenvalue problems. A short introduction to Python, which is used for class examples and active learning notebooks. Independent class projects allow deep explorations of course topics and make up a significant component of the course grade.
PHYSICS 113
Units: 4
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Typically Offered
Not Available
Grading Basis
Letter or Credit/No Credit
Class Level
Undergraduate
Instructional Mode
In Person
Gen Ed Requirement(s)
WAYS - Applied Quantitative Reasoning (AQR)
WAYS - Formal Reasoning (FR)
