Computational Engineering Physics

3.0 credits · Graduate

Introduction to Numerical computation (e.g., derivatives, integrals, differential equations, matrices, boundary-value problems, FFT's, Monte Carlo methods) as applied to engineering physics problems that cannot be solved analytically (e.g., chaotic systems, three-body problem, electrostatic fields, quantum energy levels). C/C++ computer programming required (some Matlab, Python, etc.). Some prior exposure to programming assumed but no previous experience with C/C++ assumed.