Vorlesung
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5.04.4521 - Computerorientierte Physik
- Prof. Dr. Alexander Hartmann
Termine am Freitag, 26.10.2018, Freitag, 09.11.2018, Freitag, 23.11.2018, Freitag, 07.12.2018 16:00 - 18:00, Montag, 18.02.2019 10:00 - 14:00, Montag, 18.02.2019 14:00 - 18:00, Dienstag, 19.02.2019 10:00 - 14:00, Dienstag, 19.02.2019 14:00 - 18:00, Mittwoch, 20.02.2019 10:00 - 14:00, Mittwoch, 20.02.2019 14:00 - 18:00, Donnerstag, 21.02.2019 10:00 - 14:00, Donnerstag, 21.02.2019 14:00 - 18:00, Freitag, 22.02.2019 10:00 - 14:00, Freitag, 22.02.2019 14:00 - 18:00, Montag, 25.02.2019 10:00 - 14:00, Montag, 25.02.2019 14:00 - 18:00, Dienstag, 26.02.2019 10:00 - 14:00, Dienstag, 26.02.2019 14:00 - 18:00, Mittwoch, 27.02.2019 10:00 - 14:00, Mittwoch, 27.02.2019 14:00 - 18:00, Donnerstag, 28.02.2019 10:00 - 14:00, Donnerstag, 28.02.2019 14:00 - 18:00, Freitag, 01.03.2019 10:00 - 14:00, Freitag, 01.03.2019 14:00 - 18:00 ...(mehr) Ort: W02 1-143, W01 0-008 (Rechnerraum), W01 0-006
Debugging, Datenstrukturen, Algorithmen, Zufallszahlen, Daten- analyse, Perkolation, Monte-Carlo-Simulationen, Finite-Size Scaling, Quanten-Monte-Carlo, Molekulardynamik-Simulationen, ereignisgetriebene Simulationen, Graphen und Algorithmen, genetische Algorithmen, Optimierungsprobleme
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5.04.4665 - Modelling and Simulation
Dienstag: 15:45 - 19:00, wöchentlich (ab 16.10.2018)
Contakt: jann.strybny@hs-emden-leer.de
• Understanding of advanced fluid dynamics including three-dimensional, transient and compressible processes
• Identifying the significant physical processes, defining the dimensionality and relevant scales in time and space
• Theory of similarity, range of dimensionless numbers
• Potential Theory
• Numerical Algorithms and possibilities of independent coding of simplest mathematical models
• Limitations of numerical models, risk of empirical approaches included in numerical models
• Introduction of a complete chain of Open-Source-CFD-Tools, considering preprocessing, processing and postprocessing tools
• Need and availability of appropriate measurement techniques for the steering, calibration and verification of models
• Contactless high-resolving measuring techniques in the fluid dynamics
• Limits of accuracy of different modelling and simulation concepts
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5.04.4667 - Zemax
- Prof. Dr. Walter Neu, Dipl.-Phys.
Freitag: 13:00 - 15:00, wöchentlich (ab 26.10.2018), Room: T126
lecture and project
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Teilnahmevoraussetzungen |
basic programming skills (matlab, python, C/C++) |
Prüfungsleistung Modul |
Lectures (2 or 4 hours per week) / Exercises (1 or 2 hours per week) |
Kompetenzziele |
The goal of this module is to extend the training in theoretical methods for engineering physics through the acquisition of solid and in-depth knowledge of advanced concepts and through their practice with computer simulations. Depending on the chosen course, the students will have the opportunity to strengthen their knowledge in quantum material modelling (Density-functional theory), signal processing, fluid dynamics (Modelling and Simulation), computational physics, and machine learning. In this way, they will develop skills to relate the conceptual design of models, their numerical implementation, and the physical analysis of the produced data, with the results of field and/or laboratory measurements. |
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