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Artificial Intelligence (Master of Science) >>
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Simulation und wissenschaftliches Rechnen 2 (SiWiR2)- Lecturer
- Prof. Dr. Christoph Pflaum
- Details
- Vorlesung
2 cred.h, benoteter certificate, ECTS studies, ECTS credits: 2,5
nur Fachstudium, Sprache Englisch
Time and place: Mon 10:15 - 11:45, 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. - ECTS information:
- Credits: 2,5
- Additional information
- Keywords: multigrid methods, Finite Element method, lattice Boltzmann method, computational mechanics, computational electromagnetics
Expected participants: 70
www: https://www.studon.fau.de/crs4324156.html
Registration is required for this lecture.
Registration starts on Monday, 4.4.2022, 10.00 and lasts till Saturday, 30.4.2022, 18.00 über: mein Campus.
- Assigned lectures
- UE: Rechnerübungen zu Simulation und wissenschaftliches Rechnen 2
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Lecturer: Benjamin Mann, M. Sc.
Time and place: Tue, Thu 14:15 - 15:45, 00.156-113 CIP
- TUT: Tutorium zu Simulation und Wissenschaftliches Rechnen 2
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Lecturer: Prof. Dr. Christoph Pflaum
Time and place: Wed 12:15 - 13:45, 0.111; Thu 08:15 - 09:45, 0.111; comments on time and place: konkrete Tage nach Vereinbarung
- UE: Übung zu Simulation und wissenschaftliches Rechnen 2
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Lecturer: Benjamin Mann, M. Sc.
- Verwendung in folgenden UnivIS-Modulen
- Startsemester SS 2022:
- Simulation und wissenschaftliches Rechnen 2 (SiWiR2)
- Department: Chair of Computer Science 10 (System Simulation)
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