Scientific Computing Lab - Winter 13

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

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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 Worksheet 2

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.