PHYS216
Computational Physics
Subject code
PHYS
Course Number
216
Department(s)
Instructor(s)
J. Oishi
Course Long Title
Computational Physics
Cross Listed Courses
Description
An introduction to computational methods for simulating physical systems, this course focuses on the numerical analysis and algorithmic implementation necessary for efficient solution of integrals, derivatives, linear systems, differential equations, and optimization. While the course presents a rigorous introduction to the numerical analysis underlying these techniques, the emphasis remains on practical solutions to important physical problems. Students solve problems across the wide range of applications of computational physics including astrophysics, biological population dynamics, gravitational wave detection, urban traffic flow, and materials science. No prior experience in programming is required, though students without a technical computing background are encouraged to take PHYS s10 before enrolling. Prerequisite(s): MATH 106 and either PHYS 108 or PHYS S31. Prerequisite(s), which may be taken concurrently: MATH 205.
Modes of Inquiry
Quantitative and Formal Reasoning [QF], Scientific Reasoning [SR]
Writing Credit
No writing credit
INDS Program Relationship
IDDC - DCA Program
GEC This Course Belongs To
-
Class Restriction
Exclude First Years
Offering Frequency
Normally offered every year