Scientific Computing Lab - Winter 14: Difference between revisions

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| term = Winter 14
| term = Winter 14
| lecturer = [[Kaveh Rahnema, M.Sc.]], <br> [[Emily Mo-Hellenbrand, M.Sc.]], [[Dipl.-Math. Benjamin Uekermann]]
| lecturer = [[Kaveh Rahnema, M.Sc.]], <br> [[Emily Mo-Hellenbrand, M.Sc.]], [[Dipl.-Math. Benjamin Uekermann]]
| timeplace = see TUMonline
| timeplace = see TUMonline or moodle
| credits = 4 SWS (4P) / 6 credits
| credits = 4 SWS (4P) / 6 credits
| audience = Students of Computational Science and Engineering, compulsory course, first semester, [https://campus.tum.de/tumonline/wbStpModHB.detailPage?pKnotenNr=458284&pExtView=N&pCaller=MODHBAPP&pCallerOrgNr=14189 IN2182]
| audience = Students of Computational Science and Engineering, compulsory course, first semester, [https://campus.tum.de/tumonline/wbStpModHB.detailPage?pKnotenNr=458284&pExtView=N&pCaller=MODHBAPP&pCallerOrgNr=14189 IN2182]
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= Announcements =
= Announcements =
 
* For the schedule and all other information, see [https://www.moodle.tum.de/course/view.php?id=15388 the moodle page].





Revision as of 12:09, 9 October 2014

Term
Winter 14
Lecturer
Kaveh Rahnema, M.Sc.,
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, IN2182
Tutorials
-
Exam
no final exam
Semesterwochenstunden / ECTS Credits
4 SWS (4P) / 6 credits
TUMonline
https://campus.tum.de/tumonline/lv.detail?cperson_nr=85421&clvnr=950157581



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

Timetable, Lecture Notes, and Material

Literature