Scientific Computing Lab - Winter 13: Difference between revisions

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(Created page with "{{Lecture | term = Winter 13 | lecturer = Dr. rer. nat. Tobias Neckel, <br>Dipl.-Inf. Atanas Atanasov, Dipl.-Inf. Kristof Unterweger | timeplace = see TUMonline | ...")
 
 
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{{Lecture
{{Lecture
| term = Winter 13
| term = Winter 13
| lecturer = [[Dr. rer. nat. Tobias Neckel]], <br>[[Dipl.-Inf. Atanas Atanasov]], [[Dipl.-Inf. Kristof Unterweger]]
| lecturer = [[Kaveh Rahnema, M.Sc.]], <br>[[Dipl.-Inf. Atanas Atanasov]], [[Dipl.-Inf. Kristof Unterweger]], [[Dipl.-Math. Benjamin Uekermann]]
| timeplace = see TUMonline
| timeplace = see TUMonline
| credits = 4 SWS (4P) / 6 credits
| credits = 4 SWS (4P) / 6 credits
Line 7: Line 7:
| exam = no final exam
| exam = no final exam
| tutorials = -
| tutorials = -
| tumonline = https://campus.tum.de/tumonline/lv.detail?clvnr=950072545
| tumonline = https://campus.tum.de/tumonline/lv.detail?clvnr=950111925
}}
}}


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| <b>Slides</b> || <b>Tutorials</b>
| <b>Slides</b> || <b>Tutorials</b>
|-
|-
| [http://www5.in.tum.de/lehre/praktika/scicomp/ws12/matlab/mprimer.pdf Slides] || [http://www5.in.tum.de/lehre/praktika/scicomp/ws12/matlab/exercises_day1.pdf Worksheet 1]
| [http://www5.in.tum.de/lehre/praktika/scicomp/ws13/matlab/mprimer.pdf Slides] || [http://www5.in.tum.de/lehre/praktika/scicomp/ws13/matlab/exercises_matlab_day1.pdf Worksheet 1]
[http://www5.in.tum.de/lehre/praktika/scicomp/ws12/matlab/exercises_day2.pdf Worksheet 2]
[http://www5.in.tum.de/lehre/praktika/scicomp/ws13/matlab/exercises_matlab_day2.pdf Worksheet 2]
|-
|-
|}
|}


= Timetable, Lecture Notes, and Material =


= Timetable, Lecture Notes, and Material =


<!--
*October 17/18: Matlab-Introduction Time/Room: 09:00-17:00 / MI 00.07.023
* October 17/18: Matlab-Introduction
* October 23: Course 1
* October 24: Course 1
* October 30: Question session 1
* October 31: Question session 1
* November 5: Evaluation 1
* November 6: Evaluation 1
* November 6: Course 2
* November 7: Course 2
* November 13: Question session 2
* November 14: Question session 2
* November 19: Evaluation 2
* November 20: Evaluation 2
* November 20: Course 3
* November 21: Course 3
* November 27: Question session 3
* November 28: Question session 3
* December 3: Evaluation 3
* December 4: Evaluation 3
* December 4: Course 4
* December 5: Course 4
* December 11: Question session 4
* December 12: Question session 4
* December 17: Evaluation 4
* December 18: Evaluation 4
* January 8: Course 5
* December 19: Course 5
* January 15: Question session 5
* January 9: Question session 5
* January 21: Evaluation 5
* January 16 and 18: Evaluation 5
-->


= Literature =
= Literature =
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</li>
</li>
</ul>
</ul>


= Worksheets, Material, and Lecture Notes=
= Worksheets, Material, and Lecture Notes=
'''due to:''' send your matlab-files per email to Atanas Atanasov (atanasoa(at)in.tum.de) and Kristof Unterweger (unterweg(at)in.tum.de).
<br><br>
'''personal presentation:''' subscribe for slot at room 02.05.053
<br><br>
The personal presentation will be held in room 02.05.033
<span style="color:#ff0000">
<span style="color:#ff0000">
All material can be found on the [https://www.moodle.tum.de/course/view.php?id=9209 Moodle page] of the course.
All material can be found on the [https://www.moodle.tum.de/course/view.php?id=11188 Moodle page] of the course.
</span>
</span>


Latest revision as of 14:23, 16 October 2013

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



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

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

Worksheets, Material, and Lecture Notes

All material can be found on the Moodle page of the course.

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