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Subject offerings of new and developing areas of knowledge in physics intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites. Course Information: May be repeated in the same or separate terms if topics vary.

COMPUTATIONAL PHYSICS AND ASTROPHYSICS Computational Physics and Astrophysics builds a basic understanding of numerical analysis and then reinforces through problem sets. Topics covered include numerical differentiation, root finding, minimization, numerical integration, solutions of ODEs, FFTs, elliptic PDEs in one and two dimensions, hyperbolic PDEs in one and two dimensions, Monte Carlo methods, and some data analysis. Example problems include self-gravitating compressible hydrodynamics, a quantum mechanical scattering problem, the Ising problem, and a search for correlations in noisy data. The course is based entirely on problem sets; there are no exams.