Elect Engr & Computer Science - Intro to Scientific Computing

Catalog description

A basic introduction to scientific computing and numerical analysis. Topics include linear equation solving, least squares, nonlinear equation-solving, optimization, interpolation, numerical integration and differentiation, ordinary differential equations, and the fast Fourier transform (FFT). Vectorization, efficiency, reliability, and stability of numerical algorithms will be stressed. Applications of algorithms to real-world problems, such as image processing, medicine, electronic circuits, flight trajectories, and molecular modeling, will be emphasized. The course is not open to students with prior credit in MATH 781 or EECS 781. In addition, students may not simultaneously enroll in EECS 639 and MATH 781/EECS 781. (Same as AE 630.) Prerequisite: C- or higher in MATH 127 or MATH 147, and MATH 290 or MATH 291, and EECS 168 or EECS 169 or AE 211 or equivalent.