PHYSI 260 - Computational Physics

MATH 238  (may be taken concurrently); Minimum grade C-.

This course will be an introduction to the use of computational techniques needed to analyze large datasets and and understand physical systems that are unapproachable via analytical methods. The class will also be an introduction to algorithmic thinking and effective programming 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.

Repeatable
No

Additional Notes
Previous course number: PHYSI 102
 

Course credits: 4