PhysicsPHYS 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 and PHYS 105; and PHYS 116A or MATH 21 and MATH 24; and PHYS 116C or MATH 107, or equivalent. Basic programming experience in Python or similar language.

Credits

5

Quarter offered

Spring

Instructor

Steven Ritz