YHTDE-10126 Numerical Methods for Partial Differential Equations, 8 cr
Additional information
There are no implementations at TUT. The course is organized by RWTH Aachen and Forschungszentrum Jülich.
The course is only intended for degree students
Person responsible
Mikko Hokka
-->Requirements
The course is organized by RWTH Aachen and Forschungszentrum Jülich, and the requirements are set by the local professors and teachers.
Learning Outcomes
Modeling of physical/technical processes by partial differential equations Understanding the properties of discretization methods Convergence analysis of discretization methods Modern algorithms: Iterative solvers, adaptivity Choosing the right methods for the specific application
Content
| Content | Core content | Complementary knowledge | Specialist knowledge |
| 1. | See core content and other information at: http://www.grs-sim.de/cms/upload/Dokumente/ModuleHandbook2011.pdf |
Correspondence of content
| Course | Corresponds course | Description |
| YHTDE-10126 Numerical Methods for Partial Differential Equations, 8 cr | MOL-10126 Numerical Methods for Partial Differential Equations, 8 cr |