Scientific Computing Lab - Winter 13
- Term
- Winter 13
- Lecturer
- Dr. rer. nat. Tobias Neckel,
Dipl.-Inf. Atanas Atanasov, Dipl.-Inf. Kristof Unterweger, Dipl.-Math. Benjamin Uekermann - Time and Place
- see TUMonline
- Audience
- Students of Computational Science and Engineering (Master, Module IN2182), compulsory course, first semester
- Tutorials
- -
- Exam
- no final exam
- Semesterwochenstunden / ECTS Credits
- 4 SWS (4P) / 6 credits
- TUMonline
- https://campus.tum.de/tumonline/lv.detail?clvnr=950072545
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
| Slides | Tutorials |
| Slides | Worksheet 1 |
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
due to: send your matlab-files per email to Atanas Atanasov (atanasoa(at)in.tum.de) and Kristof Unterweger (unterweg(at)in.tum.de).
personal presentation: subscribe for slot at room 02.05.053
The personal presentation will be held in room 02.05.033
All material can be found on the Moodle page of the course.