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
| 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]
| exam = no final exam
| exam = no final exam
| tutorials = -
| tutorials = -
| tumonline = t.b.a. <!--https://campus.tum.de/tumonline/lv.detail?clvnr=950111925-->
| tumonline = https://campus.tum.de/tumonline/lv.detail?cperson_nr=85421&clvnr=950157581
}}
}}


= Announcements =
= Announcements =
 
* For the schedule and all other information, see [https://www.moodle.tum.de/course/view.php?id=15388 the moodle page].
 


= Contents =  
= Contents =  
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= 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 =
= Literature =
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</ul>
</ul>


= Worksheets, Material, and Lecture Notes=
<span style="color:#ff0000">
All material can be found on the [https://www.moodle.tum.de/course/view.php?id=11188 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 12:10, 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

Literature

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