Scientific Computing Lab - Winter 15

Term

Winter 15

Lecturer

Dr. rer. nat. Tobias Neckel,
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,

Tutorials

-

Exam

no final exam

Semesterwochenstunden / ECTS Credits

4 SWS (4P) / 6 credits

TUMonline

---

Announcements

• For all course contents (slides, worksheets, submission of code, choice of examination slots), 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

• Matlab Introduction course on Oct. 13-14, 9:00 AM - 5:00 PM, room MI 00.07.023
• Slides
• Worksheet 1
• Worksheet 2

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