Scientific Computing Lab - Winter 17: Difference between revisions

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{{Lecture
{{Lecture
| term = Winter 17
| term = Winter 17
| lecturer = [[Dr. rer. nat. Tobias Neckel]], <br> [[Paul Cristian Sarbu, M.Sc. (hons)]], [[Arash Bakhtiari, M.Sc. (hons)]]
| lecturer = [[Dr. rer. nat. Tobias Neckel]], <br> [[Paul Cristian Sarbu, M.Sc. (hons)]], [[Arash Bakhtiari, M.Sc. (hons)]], [[Severin Reiz, M.Sc. (hons)]]
| timeplace = see TUMonline or moodle
| timeplace = see TUMonline or moodle
| credits = 4 SWS (4P) / 6 credits
| credits = 4 SWS (4P) / 6 credits

Revision as of 11:10, 13 July 2017

Term
Winter 17
Lecturer
Dr. rer. nat. Tobias Neckel,
Paul Cristian Sarbu, M.Sc. (hons), Arash Bakhtiari, M.Sc. (hons), Severin Reiz, M.Sc. (hons)
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

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

tbd

Literature

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