Prerequisites: MATH 135A with a grade of C- or better; or equivalent; or consent of instructor
Description: Introduces basic numerical techniques for computing solutions of problems in science and engineering as well as computational implementation of such techniques using MATLAB and Python. Topics include numerical integration, Runge-Kutta methods for initial value problems, matrix factorizations, eigenvalues, and eigenvectors.