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)]], [[Dr. rer. nat. Arash Bakhtiari]], [[Severin Reiz, M.Sc. (hons)]]
| timeplace = see TUMonline or moodle
| timeplace = Thu, 10-12, [https://portal.mytum.de/displayRoomMap?roomid=00.08.038@5608&disable_decoration=yes 00.08.038]
| 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]-->
| exam = no final exam
| exam = no final exam
| tutorials = -
| tutorials = -
| tumonline = <!--[https://campus.tum.de/tumonline/lv.detail?clvnr=950263781 TUMOnline], [https://www.moodle.tum.de/course/view.php?id=28715 moodle]-->
| tumonline = [https://campus.tum.de/tumonline/wbLv.wbShowLVDetail?pStpSpNr=950316234 TUMOnline] <!--[https://www.moodle.tum.de/course/view.php?id=28715 moodle]-->
}}
}}


= Announcements =
= Announcements =
<!--* For all course contents (slides, worksheets, submission of code, choice of examination slots), see [https://www.moodle.tum.de/course/view.php?id=22950 the moodle page]-->
* For all course contents (slides, worksheets, submission of code, choice of examination slots), see [https://www.moodle.tum.de/course/view.php?id=35249 the moodle page]
* First lecture takes place on Nov. 2nd from 10:00-12:00


= Contents =  
= Contents =  
Line 27: Line 28:
= Introduction to Matlab =
= Introduction to Matlab =


tbd
[https://campus.tum.de/tumonline/wbLv.wbShowLVDetail?pStpSpNr=950319117 See TUMonline]
<!--
 
* Matlab Introduction course on Oct. 20-21, 9:00 AM - 5:00 PM, room MI 00.07.023
* Matlab Introduction course on Oct. 19-20, 9:00 AM - 5:00 PM, room MI 00.07.023  
* [http://www5.in.tum.de/lehre/praktika/scicomp/ws16/matlabintro/matlab_intro_2016.pdf Slides]
* The course material will be available on [http://moodle.tum.de/  Moodle] platform.
<!-- * [http://www5.in.tum.de/lehre/praktika/scicomp/ws16/matlabintro/matlab_intro_2016.pdf Slides]
* [http://www5.in.tum.de/lehre/praktika/scicomp/ws16/matlabintro/exercise_day1.pdf Exercise day 1]  [http://www5.in.tum.de/lehre/praktika/scicomp/ws16/matlabintro/exercise_day1_solution.zip Exercise day 1 solution]
* [http://www5.in.tum.de/lehre/praktika/scicomp/ws16/matlabintro/exercise_day1.pdf Exercise day 1]  [http://www5.in.tum.de/lehre/praktika/scicomp/ws16/matlabintro/exercise_day1_solution.zip Exercise day 1 solution]
* [http://www5.in.tum.de/lehre/praktika/scicomp/ws16/matlabintro/exercise_day2.pdf Exercise day 2]
* [http://www5.in.tum.de/lehre/praktika/scicomp/ws16/matlabintro/exercise_day2.pdf Exercise day 2]

Latest revision as of 08:57, 30 October 2017

Term
Winter 17
Lecturer
Dr. rer. nat. Tobias Neckel,
Paul Cristian Sarbu, M.Sc. (hons), Dr. rer. nat. Arash Bakhtiari, Severin Reiz, M.Sc. (hons)
Time and Place
Thu, 10-12, 00.08.038
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
TUMOnline



Announcements

  • For all course contents (slides, worksheets, submission of code, choice of examination slots), see the moodle page
  • First lecture takes place on Nov. 2nd from 10:00-12:00

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

See TUMonline

  • Matlab Introduction course on Oct. 19-20, 9:00 AM - 5:00 PM, room MI 00.07.023
  • The course material will be available on Moodle platform.

Literature

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