SC 2000 - COMPUTATIONAL METHODS FOR SCIENTISTS

3 Credit Hour(s)
This course covers techniques for scientific computing. Students will learn numerical algorithms for data analysis and analyze models using Python and R. Topics include matrices and linear system solvers, eigenvalues, model fitting, simulation, and high performance computing.

Prerequisite(s): SC 1000, enrollment in MATH 1630 or MATH 2000
Offered: Spring
Course Component: Lecture