Scientific Computing Lab - Winter 14
- Term
- Winter 14
- Lecturer
- Kaveh Rahnema, M.Sc.,
Emily Mo-Hellenbrand, M.Sc., Dipl.-Math. Benjamin Uekermann - Time and Place
- see TUMonline
- Audience
- Students of Computational Science and Engineering, compulsory course, first semester
- Tutorials
- -
- Exam
- no final exam
- Semesterwochenstunden / ECTS Credits
- 4 SWS (4P) / 6 credits
- TUMonline
- t.b.a.
Announcements
Contents
The lab course gives an application oriented introduction to the following topics:
- explicit and implicit time stepping methods for ordinary differential equations
- numerical methods for stationary and instationary partial differential equations
- solvers for large, sparse systems of linear equations
- adaptivity and adaptively refined discretisation grids
- applications from fluid dynamics and heat transfer
Basics in linear algebra and differential calculus are required.
Introduction to Matlab
Timetable, Lecture Notes, and Material
Literature
- MATLAB® - The Language of Technical Computing. http://www.mathworks.com/products/matlab/
- Boyce, DiPrima. Elementary Differential Equations and Boundary Value Problems. Wiley, 1992.
- Michael Hanke. Short Introduction to COMSOL Multiphysics. http://www.nada.kth.se/kurser/kth/2D1266/femlabcrash.pdf
Worksheets, Material, and Lecture Notes
All material can be found on the Moodle page of the course.