Physics

PHYS 115 Computational Physics

This course applies efficient numerical methods to the solutions of problems in the physical sciences which are otherwise intractable. Examples will be drawn from classical mechanics, quantum mechanics, statistical mechanics, and electrodynamics. Students apply a high-level programming language, such as Python, to the solution of physical problems and develop appropriate error and stability estimates.

Requirements

Prerequisite(s): PHYS 102, PHYS 105, PHYS 116A, PHYS 116B, and PHYS 116C, or equivalent. Basic programming experience in Python or similar language.

Credits

5

Quarter offered

Spring

Instructor

Steven Ritz