Scientific Computing

5 credits

Survey of numerical techniques for differential equations. Emphasis is on implementation of numerical schemes for application problems. For ordinary differential equations, initial value problems and second order boundary value problems are covered. Methods for partial differential equations include finite differences, finite elements and spectral methods. Requires use of a scientific programming language (e.g., MATLAB or Python). Prerequisite: AMATH 301; either AMATH 351, MATH 135, or MATH 207; and either AMATH 352, MATH 136, or MATH 208. Offered: A.