Computational Physics

Three credits · Undergraduate

Introduction to computational modelling in physics and engineering. Topics span deterministic and stochastic methods, including molecular dynamics, Monte Carlo, cellular automata, and neural networks. Applications include projectile motion, electromagnetism, astronomy, materials science, quantum mechanics and fluid dynamics. Emphasis on simulation best practices, aligning methods with computing hardware, and analyzing results. Credit only given for one of PHYS 374 or 474. Prerequisites: PHYS 122; MATH 107/127 or 122; CSCI 161 or ENGR 144. Three credits and lab.