Course F07_NumericalMethodsForEngineers
Responsible: Prof.Dr. Stefan M.Grünvogel
Course
Meets requirements of following modules(MID)
Course Organization
Version |
created |
2016-10-03 |
VID |
1 |
valid from |
WS 2012/13 |
valid to |
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Course identifiers |
Long name |
F07_NumericalMethodsForEngineers |
CID |
F07_AMA |
CEID (exam identifier) |
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|
Contact hours per week (SWS) |
Lecture |
3 |
Exercise (unsplit) |
2 |
Exercise (split) |
|
Lab |
|
Project |
|
Seminar |
|
Tutorial(voluntary) |
|
|
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Total contact hours |
Lecture |
45 |
Exercise (unsplit) |
30 |
Exercise (split) |
|
Lab |
|
Project |
|
Seminar |
|
Tutorial (voluntary) |
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|
|
Max. capacity |
Exercise (unsplit) |
|
Exercise (split) |
15 |
Lab |
|
Project |
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Seminar |
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Total effort (hours): 150
Instruction language
Study Level
Prerequisites
- Engineering mathematics
- programming skills in higher programming langugage
Textbooks, Recommended Reading
- Wolfgang Dahmen, Arnold Reusken: Numerik für Ingenieure und Naturwissenschaftler, Springer, 2008
- Christop Ueberhuber: Numerical Computation 1 & 2, Springer, 1997
- Michael Knorrenschild: NUmerische Mathematik: Eine beispielorientierte Einführung, Carl Hanser Verlag, 2010
- Peter Deuflhard, Andreas Hohmann: Numerische Mathematik: Eine algorithmisch orientierte Einführung, Bd 1+2. de Gruyter, 2008
- Hans-Rudolf Schwarz, Norbert Köckler: Numerische Mathematik, Vieweg+Teubner Verlag, 2011
- William H. Press et. al. :Numerical Recipes 3rd Edition: The Art of Scientific Computing, Cambridge University press, 2007
Instructors
- Prof.Dr. Stefan M. Grünvogel
- Prof Dr. Dietmar Kunz
Supporting Scientific Staff
Transcipt Entry
Assessment
Type |
sMP |
mündliche Prüfung oder Klausur |
Total effort [hours] |
sMP |
10 |
Frequency: 1/Jahr
Course components
Lecture/Exercise
Objectives
Lerninhalte (Kenntnisse)
- Characterize condition of numerical problems and stabilty of numerical algorithms
- error analysis
- detect error sources
- describe condition of a problem
- determine stabilty of an algorithm
Acquired Skills
- Analyse convergence and computational cost of an algorithm
- Choose appropriate algorithm for a given problem out of a problem class
- linear equation
- linear least squares
- nonlinear equations
- nonlinear least squares
- interpolation
- singular value decomposition
- integration
- Implement numerical algorithms in an hgher programming language
- Apply numerical methods with a given software system
Operational Competences
Additional Component Assessment
Type |
bÜA |
Präsenzübung und Selbstlernaufgaben |
Contribution to course grade |
bÜA |
unbenotet, Voraussetzung für Modulprüfung |
Frequency: 1/Jahr
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