Scientific Computing Lab - Winter 14: Difference between revisions
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| term = Winter 14 | | term = Winter 14 | ||
| lecturer = [[Kaveh Rahnema, M.Sc.]], <br> [[Emily Mo-Hellenbrand, M.Sc.]], [[Dipl.-Math. Benjamin Uekermann]] | | lecturer = [[Kaveh Rahnema, M.Sc.]], <br> [[Emily Mo-Hellenbrand, M.Sc.]], [[Dipl.-Math. Benjamin Uekermann]] | ||
| timeplace = see TUMonline | | timeplace = see TUMonline or moodle | ||
| credits = 4 SWS (4P) / 6 credits | | credits = 4 SWS (4P) / 6 credits | ||
| audience = Students of Computational Science and Engineering, compulsory course, first semester, [https://campus.tum.de/tumonline/wbStpModHB.detailPage?pKnotenNr=458284&pExtView=N&pCaller=MODHBAPP&pCallerOrgNr=14189 IN2182] | | audience = Students of Computational Science and Engineering, compulsory course, first semester, [https://campus.tum.de/tumonline/wbStpModHB.detailPage?pKnotenNr=458284&pExtView=N&pCaller=MODHBAPP&pCallerOrgNr=14189 IN2182] | ||
| Line 11: | Line 11: | ||
= Announcements = | = Announcements = | ||
* For the schedule and all other information, see [https://www.moodle.tum.de/course/view.php?id=15388 the moodle page]. | |||
= Contents = | = Contents = | ||
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= Literature = | = Literature = | ||
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</ul> | </ul> | ||
[[Category:Teaching]] | [[Category:Teaching]] | ||
Latest revision as of 12:10, 9 October 2014
- Term
- Winter 14
- Lecturer
- Kaveh Rahnema, M.Sc.,
Emily Mo-Hellenbrand, M.Sc., Dipl.-Math. Benjamin Uekermann - Time and Place
- see TUMonline or moodle
- Audience
- Students of Computational Science and Engineering, compulsory course, first semester, IN2182
- Tutorials
- -
- Exam
- no final exam
- Semesterwochenstunden / ECTS Credits
- 4 SWS (4P) / 6 credits
- TUMonline
- https://campus.tum.de/tumonline/lv.detail?cperson_nr=85421&clvnr=950157581
Announcements
- For the schedule and all other information, see the moodle page.
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
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