CS 6210 : Advanced Scientific Computing
September 01, 2016
School of Computing, University of Utah, Salt Lake City, Utah
Link to the course page
This was a graduate level course intended to give students exposure to the algorithms and implementations often used in scientific computing. Students were assumed to have had some previous experience in numerical methods (such as in an introductory numerical analysis or scientific computing course) or in a numerical ODEs course. However, formal prerequisites only required knowledge of basic calculus, linear algebra, and ODEs. Specifically, in this course, we touched upon the following topics:
- Nonlinear equations in one variable.
- Computational linear algebra (direct and iterative methods).
- Eigenvalues and singular values.
- Nonlinear systems and optimization.
- Interpolation and approximation.
- Numerical integration and differentiation.