Personal tools

Scientific Computing Lab - Winter 12

From Sccswiki

Jump to: navigation, search
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



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
  • 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.