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Scientific Computing Lab - Winter 13

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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



Contents

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.