Numerical Methods for Computer Science and Engineering

3 credits · Undergraduate

Numerical and mathematical methods used in computer graphics, computational physics, robotics, vision, and learning. Algorithms for solving linear systems, determining matrix eigenstructures, nonlinear optimization, interpolation and extrapolation, integration and differentiation, solving ordinary and partial differential equations, and parallel programming. Emphasis on efficient implementations and applications. Prerequisites: MATH 2410 or MATH 2501 or MATH 2600; CS 2201 or 2204; CS 2212. Corequisites: MATH 2400 or MATH 2420 or MATH 2610. FALL [3]