Scientific Computing Lab - Winter 09: Difference between revisions

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| term = Winter 09
| term = Winter 09
| lecturer = [[Dr. rer. nat. Miriam Mehl]], <br> [[Janos Benk, M.Sc]], <br>[[Dipl.-Inf. Marion Bendig]]
| lecturer = [[Dr. rer. nat. Miriam Mehl]], <br> [[Janos Benk, M.Sc]], <br>[[Dipl.-Inf. Marion Bendig]]
| timeplace = t.b.a.  
| timeplace = Wed 8:30-10:00 AM, MI 02.07.023
| credits = 6 SWS (6P) / 10 credits
| credits = 6 SWS (6P) / 10 credits
| audience = Students of Computational Science and Engineering (Master, Module [https://www.in.tum.de/myintum/kurs_verwaltung/cm.html?id=IN2182 IN2182]), compulsory course, first semester
| audience = Students of Computational Science and Engineering (Master, Module [https://www.in.tum.de/myintum/kurs_verwaltung/cm.html?id=IN2182 IN2182]), compulsory course, first semester

Revision as of 11:00, 2 October 2009

Term
Winter 09
Lecturer
Dr. rer. nat. Miriam Mehl,
Janos Benk, M.Sc,
Dipl.-Inf. Marion Bendig
Time and Place
Wed 8:30-10:00 AM, MI 02.07.023
Audience
Students of Computational Science and Engineering (Master, Module IN2182), compulsory course, first semester
Tutorials
-
Exam
no final exam
Semesterwochenstunden / ECTS Credits
6 SWS (6P) / 10 credits
TUMonline
{{{tumonline}}}



Announcements

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Requirements

Basics in linear algebra and differential calculus.

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

Literature

Lectures and Lecture Notes

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Worksheets

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