Stud.IP Uni Oldenburg
Universität Oldenburg
22.11.2019 18:47:35
phy611 - Theoretical Methods
Institut für Physik 6 KP
Semesterveranstaltungen Wintersemester 2019/2020
Lehrveranstaltungsform: Seminar
  • Uneingeschränkter Zugang 5.04.4521 - Computerorientierte Physik headache
    • Prof. Dr. Alexander Hartmann

    Termine am Freitag. 25.10.19, Freitag. 01.11.19, Freitag. 22.11.19, Freitag. 06.12.19 16:00 - 18:00, Montag. 17.02.20 10:00 - 14:00, Montag. 17.02.20 14:00 - 18:00, Dienstag. 18.02.20 10:00 - 14:00, Dienstag. 18.02.20 14:00 - 18:00, Mittwoch. 19.02.20 10:00 - 14:00, Mittwoch. 19.02.20 14:00 - 18:00, Donnerstag. 20.02.20 10:00 - 14:00, Donnerstag. 20.02.20 14:00 - 18:00, Freitag. 21.02.20 10:00 - 14:00 ...(mehr)
    Ort: W02 1-143, W01 0-008 (Rechnerraum), W01 0-006
  • Uneingeschränkter Zugang 5.04.4665 - Modelling and Simulation headache
    • Jann Strybny

    Dienstag: 15:45 - 19:00, wöchentlich (ab 15.10.2019)
  • Uneingeschränkter Zugang 5.04.4667 - Zemax headache
    • Prof. Dr. Walter Neu, Dipl.-Phys.

    Montag: 17:00 - 19:00, wöchentlich (ab 14.10.2019), T126, HS EL
Hinweise zum Modul
Prüfungsleistung Modul
According selected course
Kompetenzziele
Computational Fluid Dynamics (CFD I & II)
  • Deeper understanding of the fundamental equations of fluid dynamics.
  • Overview of numerical methods for the solution of the fundamental equations of fluid dynamics.
  • Confrontation with complex problems in fluiddynamics.
  • To become acquainted with different, widely used CFD models that are used to study complex problems in fluid dynamics.
  • Ability to apply these CFD models to certain defined problems and to critically evaluate the results of numerical models.


Computerorientierte Physik
Extension and complement of qualification in theoretical physics through the acquisition of solid and deep knowledge of advanced concepts and methods in theoretical physics. Depending on the selected course the students acquire knowledge in the fields of basis numerical methods of theoretical physics, algorithms and data structures in scientific computing, code debugging. They obtain skills for a confident application of modern methods of theoretical physics such as diagram generation, Molecular Dynamics and Monte Carlo simulations and quantitative analysis of advanced problems of theoretical physics and in further development of the physical intuition. They enhance their competences to effectively deal with sophisticated problems of theoretical physics, to independently develop approaches to current issues of theoretical physics, and to comprehend common concepts and methods of theoretical physics and the natural sciences, in general.

Modelling and Simulation
The students attending successful the course acquire an advanced understanding of the conceptual design of models in the field of engineering sciences. Special emphasis is on identifying the significant physical processes and the choice of the most efficient modelling type. The interaction of numerical simulations with field measurements and laboratory measurements including the theory of similarity will be discussed. To meet the needs of renewable energy, laser technology, environmental sciences and marine sciences the practical focus is on the modelling and simulation of fluid dynamics in small scales and close to structures.

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