Scientific Computing Lab - Winter 12: Difference between revisions
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| term = Winter 12 | | term = Winter 12 | ||
| lecturer = [[Dr. rer. nat. Tobias Neckel]], <br>[[Dipl.-Inf. Atanas Atanasov]], [[Dipl.-Inf. Kristof Unterweger]] | | lecturer = [[Dr. rer. nat. Tobias Neckel]], <br>[[Dipl.-Inf. Atanas Atanasov]], [[Dipl.-Inf. Kristof Unterweger]] | ||
| timeplace = | | timeplace = see TUMonline | ||
| credits = 4 SWS (4P) / 6 credits | | credits = 4 SWS (4P) / 6 credits | ||
| audience = Students of Computational Science and Engineering (Master, Module [http://drehscheibe.in.tum.de/myintum/kurs_verwaltung/cm.html?id=IN2182 IN2182]), compulsory course, first semester | | audience = Students of Computational Science and Engineering (Master, Module [http://drehscheibe.in.tum.de/myintum/kurs_verwaltung/cm.html?id=IN2182 IN2182]), compulsory course, first semester | ||
Line 53: | Line 53: | ||
* December 12: Question session 4 | * December 12: Question session 4 | ||
* December 18: Evaluation 4 | * December 18: Evaluation 4 | ||
* December 19: Course 5 | * December 19: Course 5 | ||
* January 9: Question session 5 | * January 9: Question session 5 |
Latest revision as of 13:24, 7 January 2013
- Term
- Winter 12
- Lecturer
- Dr. rer. nat. Tobias Neckel,
Dipl.-Inf. Atanas Atanasov, Dipl.-Inf. Kristof Unterweger - 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
- October 17/18: Matlab-Introduction
- October 24: Course 1
- October 31: Question session 1
- November 6: Evaluation 1
- November 7: Course 2
- November 14: Question session 2
- November 20: Evaluation 2
- November 21: Course 3
- November 28: Question session 3
- December 4: Evaluation 3
- December 5: Course 4
- December 12: Question session 4
- December 18: Evaluation 4
- December 19: Course 5
- January 9: Question session 5
- January 16 and 18: 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
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.