Scientific Computing Lab - Winter 12: Difference between revisions

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| term = Winter 12
| term = Winter 12
| lecturer = [[Dr. rer. nat. Tobias Neckel]], <br>[[Dipl.-Inf. Atanas Atanasov]], [[Dipl.-Inf. Kristof Unterweger]]
| lecturer = [[Dr. rer. nat. Tobias Neckel]], <br>[[Dipl.-Inf. Atanas Atanasov]], [[Dipl.-Inf. Kristof Unterweger]]
| timeplace = TBA, seminar room TBA
| timeplace = see TUMonline
| credits = 4 SWS (4P) / 6 credits
| credits = 4 SWS (4P) / 6 credits
| audience = Students of Computational Science and Engineering (Master, Module [http://drehscheibe.in.tum.de/myintum/kurs_verwaltung/cm.html?id=IN2182 IN2182]), compulsory course, first semester
| audience = Students of Computational Science and Engineering (Master, Module [http://drehscheibe.in.tum.de/myintum/kurs_verwaltung/cm.html?id=IN2182 IN2182]), compulsory course, first semester
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* October 17/18: Matlab-Introduction
* October 24: Course 1
* October 31: Question session 1
* November 6: Evaluation 1
* November 7: Course 2
* November 14: Question session 2
* November 20: Evaluation 2
* November 21: Course 3
* November 28: Question session 3
* December 4: Evaluation 3
* December 5: Course 4
* December 12: Question session 4
* December 18: Evaluation 4
* December 19: Course 5
* January 9: Question session 5
* January 16 and 18: Evaluation 5




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= 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">
All material can be found on the [https://www.moodle.tum.de/course/view.php?id=9209 Moodle page] of the course.
</span>
<!--{| class="wikitable"
|-
| <b>Worksheet</b> || <b>Lecture Notes</b> || <b>matlab</b> || <b>due to</b> ||
<b>personal presentation</b>
|-
| [http://www5.in.tum.de/lehre/praktika/scicomp/ws12/material/worksheet1.pdf Worksheet 1] || [http://www5.in.tum.de/lehre/praktika/scicomp/ws12/lecture/02_ode_explicit.pdf ODE explicit] || || 05.11.2012, 6:00 pm || 06.11.2012
|-
| Worksheet 2 [http://www5.in.tum.de/lehre/praktika/scicomp/ws12/material/worksheet2.pdf Worksheet 2]
|| [http://www5.in.tum.de/lehre/praktika/scicomp/ws12/lecture/02_ode_errors.pdf ODE Errors]
[http://www5.in.tum.de/lehre/praktika/scicomp/ws12/lecture/03_ode_implicit.pdf ODE imlicit]
[http://www5.in.tum.de/lehre/praktika/scicomp/ws12/lecture/04_newton_examples.pdf Newton examples]
|| || 19.11.2012, 6:00 pm || 20.11.2012
|-
| Worksheet 3 [http://www5.in.tum.de/lehre/praktika/scicomp/ws12/material/worksheet3.pdf Worksheet 3]
|| [http://www5.in.tum.de/lehre/praktika/scicomp/ws12/lecture/06_pde_stationary.pdf Stationary PDEs]
|| || 03.12.2012, 6:00 pm || 04.12.2012
|-
|-
| Worksheet 4 [http://www5.in.tum.de/lehre/praktika/scicomp/ws12/material/worksheet4.pdf Worksheet 4]
|| [http://www5.in.tum.de/lehre/praktika/scicomp/ws12/lecture/08_pde_instationary.pdf Instationary PDEs]
|| || 17.12.2012, 6:00 pm || 18.12.2012
|-
| Worksheet 5 [http://www5.in.tum.de/lehre/praktika/scicomp/ws12/material/worksheet5.pdf Worksheet 5]
|| [http://www5.in.tum.de/lehre/praktika/scicomp/ws12/lecture/11_Adaptivity&Comsol.pdf Adaptivity & Comsol]
|| || 30.1.2012, 6:00 pm || 31.1.2012
|-
|}-->


[[Category:Teaching]]
[[Category:Teaching]]

Latest revision as of 13:24, 7 January 2013

Term
Winter 12
Lecturer
Dr. rer. nat. Tobias Neckel,
Dipl.-Inf. Atanas Atanasov, Dipl.-Inf. Kristof Unterweger
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=950072545



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
  • October 24: Course 1
  • October 31: Question session 1
  • November 6: Evaluation 1
  • November 7: Course 2
  • November 14: Question session 2
  • November 20: Evaluation 2
  • November 21: Course 3
  • November 28: Question session 3
  • December 4: Evaluation 3
  • December 5: Course 4
  • December 12: Question session 4
  • December 18: Evaluation 4
  • December 19: Course 5
  • January 9: Question session 5
  • January 16 and 18: Evaluation 5


Literature


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).

personal presentation: subscribe for slot at room 02.05.053

The personal presentation will be held in room 02.05.033

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

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