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Departments >> Faculty of Engineering >> Department of Computer Science >>
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Chair of Computer Science 10 (System Simulation)
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Simulation und wissenschaftliches Rechnen 2 [SiWiR2] -
- Lecturer:
- Christoph Pflaum
- Details:
- Vorlesung, 2 cred.h, graded certificate, ECTS: 2,5, nur Fachstudium
- Dates:
- Fri, 8:15 - 9:45, H4
- Fields of study:
- PF CE-MA-INF ab 2
PF CE-BA-G 6
WPF INF-MA 2
- Prerequisites / Organisational information:
- The participants should have a sound background in engineering mathematics and a higher programming language (preferably C/C++).
Four hours of lecture are given each week. Furthermore, there are two board exercise lessons and three computer exercise lessons offered per week. The participants can choose which one of the board exercise lessons to attend, computer exercise lessons can be attended according to requirements.
- Contents:
- Simulations are becoming more and more important in various fields of engineering as a fast, cheap and flexible alternative to real-world experiments.
In order to successfully carry out such simulations, a profound knowledge of the respective physical models, numerical discretization and solution methods, and performance-aware programming techniques is indispensable.
The course "Simulation and Scientific Computing 2" covers these essential aspects of simulations in detail on the basis of typical engineering problems:
Introduction to multigrid methods
Concept and implementation of the finite element method
discretization grids and interpolation
Computational fluid dynamics: Finite difference discretization and lattice Boltzmann method
Computational mechanics: finite elements for linear elasticity
Computational electromagnetics: FTDT for Maxwell's equations
- Recommended literature:
- Briggs, Henson, McCormick - A Multigrid Tutorial. SIAM.
Axelsson, Barker - Finite Element Solution of Boundary Value Problems. SIAM.
Braess - Finite elements. Cambridge University Press.
Grossmann, Roos, Stynes - Numerical treatment of partial differential equations. Springer.
Timm Krüger, and others. The Lattice Boltzmann Method: Principles and Practice. Springer.
Allen Taflove and Susan C. Hagness. Computational Electrodynamics: The
Finite-Difference Time-Domain Method. Artech House.
- Keywords:
- multigrid methods, Finite Element method, lattice Boltzmann method, computational mechanics, computational electromagnetics
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Simulation der SARS-CoV-2 Ausbreitung über Aerosole [CoronaSim] -
- Lecturers:
- Ulrich Rüde, Marc Stamminger, Tobias Günther, Frank Bauer
- Details:
- Seminar, 2 cred.h, graded certificate, ECTS: 5, nur Fachstudium, Die Anmeldung erfolgt über Studon (https://www.studon.fau.de/crs3745380_join.html)
- Dates:
- Die Vorbesprechung findet am 14.4.2021 um 14:00 auf Zoom statt: https://fau.zoom.us/j/67883994910
Preliminary meeting: Wednesday, 14.4.2021, 14:00 - 16:00 Uhr, Zoom-Meeting
- Fields of study:
- WF INF-MA 3
WF CE-MA-SEM 3
WF MT-BA 3
- Prerequisites / Organisational information:
- Kenntnisse in Simulationstechnik, Modellbildung und numerischen Algorithmen
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