Scientific Computing Lab - Winter 13: Difference between revisions
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| <b>Slides</b> || <b>Tutorials</b> | | <b>Slides</b> || <b>Tutorials</b> | ||
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| [http://www5.in.tum.de/lehre/praktika/scicomp/ | | [http://www5.in.tum.de/lehre/praktika/scicomp/ws13/matlab/mprimer.pdf Slides] || [http://www5.in.tum.de/lehre/praktika/scicomp/ws13/matlab/exercises_matlab_day1.pdf Worksheet 1] | ||
[http://www5.in.tum.de/lehre/praktika/scicomp/ | [http://www5.in.tum.de/lehre/praktika/scicomp/ws13/matlab/exercises_matlab_day2.pdf Worksheet 2] | ||
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= Timetable, Lecture Notes, and Material = | = Timetable, Lecture Notes, and Material = | ||
*October | *October 17/18: Matlab-Introduction Time/Room: 09:00-17:00 / MI 00.07.023 | ||
* October 23: Course 1 | * October 23: Course 1 | ||
* October 30: Question session 1 | * October 30: Question session 1 | ||
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* January 15: Question session 5 | * January 15: Question session 5 | ||
* January 21: Evaluation 5 | * January 21: Evaluation 5 | ||
= Literature = | = Literature = | ||
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= Worksheets, Material, and Lecture Notes= | = Worksheets, Material, and Lecture Notes= | ||
Latest revision as of 14:23, 16 October 2013
- Term
- Winter 13
- Lecturer
- Kaveh Rahnema, M.Sc.,
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=950111925
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
- October 17/18: Matlab-Introduction Time/Room: 09:00-17:00 / MI 00.07.023
- October 23: Course 1
- October 30: Question session 1
- November 5: Evaluation 1
- November 6: Course 2
- November 13: Question session 2
- November 19: Evaluation 2
- November 20: Course 3
- November 27: Question session 3
- December 3: Evaluation 3
- December 4: Course 4
- December 11: Question session 4
- December 17: Evaluation 4
- January 8: Course 5
- January 15: Question session 5
- January 21: Evaluation 5
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.