PHYSI 102 - Computational Physics

MATH 039   may be taken concurrently.

This course will be an introduction to the use of computational techniques needed to analyze large datasets and understand physical systems that are unapproachable via analytical methods. The class will also be an introduction to algorithmic thinking and effective programing in Python. Topics include data visualization, numerical solutions to transcendental equations and ordinary differential equations, numerical integration, curves of best-fit, and statistical analysis of stochastic processes.

Course credits: 1