Principles and practices of basic numerical computation as a key aspect of scientific computation. Visualization of results. Approximation by splines, fast Fourier transforms, solution of linear and nonlinear equations, differential equations, floating point number systems, error, stability. Presented in the context of specific applications to image processing, analysis of data, scientific modeling. [Note: Lab is not scheduled and students are expected to find time in open hours to complete their work. Offered: F,W,S] Prereq: (One of MATH 118, 119, 128, 138, 148), (One of MATH 114, 115, 106/125, 136, 146), (One of CS 230, 234, 251, ECE 222); Not open to General Mathematics students. Antireq: AMATH 242/341/CM 271/CS 371, CS 335, 337, ECE 204, 304
