Difference between revisions of "Algorithms of Scientific Computing II - Winter 17"

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(Created page with "{{Lecture | term = Winter 17/18 | lecturer = Univ.-Prof. Dr. Hans-Joachim Bungartz | tumonline = tba | timeplace = '''Lecture''': weekly, tba :'''Tutorial''': biweekly, tb...")
 
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: Master Data Engineering and Analytics   
 
: Master Data Engineering and Analytics   
 
: Master Mathematics in Data Science
 
: Master Mathematics in Data Science
| tutorials = [[Kilian Röhner]], Benjamin Rüth
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| tutorials = [[Kilian Röhner]], [[Benjamin Rüth]]
 
| exam =  tba
 
| exam =  tba
  

Revision as of 10:20, 28 July 2017

Term
Winter 17/18
Lecturer
Univ.-Prof. Dr. Hans-Joachim Bungartz
Time and Place
Lecture: weekly, tba
Tutorial: biweekly, tba
Audience
Elective topic in Informatik Bachelor/Master/Diplom subject area Algorithms and Scientific Computing
Wirtschaftsinformatik Bachelor (Modul IN2002)
Master Data Engineering and Analytics
Master Mathematics in Data Science
Tutorials
Kilian Röhner, Benjamin Rüth
Exam
tba
Semesterwochenstunden / ECTS Credits
3 SWS (2V + 1Ü) / 4 Credits
TUMonline
tba



News

Moodle

All materials will be provided on the moodle platform. The link will be available soon.


Content

This semester the lecture will be held by Prof. Bungartz with a focus on Scientific Computing. The following themes will be covered:

  • Molecular Dynamics Simulations
  • Sparse Grid Methods
  • Algebraic Multigrid Methods (AMG)


Prerequisites

Lecture IN0019 Numerical Programming or similar basic knowledge in numerical methods.