PHY 261 - Computational Physics

This project-oriented course uses the Python programming language and introduces methods of computer simulation and their diverse applications in the physical world. Examples of projects include projectile motion, planetary systems, chaotic systems, and thermal systems. Methods include numerical solutions to differential equations and Monte Carlo techniques. The course emphasizes structured programming, although no background in computer programming is required.

Prerequisite(s): Grade of C or higher in PHY 121 and prior or concurrent enrollment in MAT 153, or permission of instructor.
Co-requisite(s):
Credits: 3

Course Typically Offered:
Course Type: Physics