Module

Computational Physics II - Partial Differential Equations

Computational Physics II - Partielle Differentialgleichungen

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Voraussetzungen

Empfohlen, im Wortlaut

• knowledge of theoretical physics within the bachelor course • Knowledge of module 13408 Computational Physics • Programming skills in Fortran, C or C++ are useful.

Inhalte

Numerical implementations of problems in mechanics, quantum mechanics, electrodynamics, nonlinear dynamics, hydrodynamics. Numerical topics: • Partial differential equations: basics • Laplace equation, diffusion equation, Ginzburg-Landau-equation • Galerkin methods • Finite Differences and Finite Elements • Waves, linear and nonlinear • Pattern Formation • Volume of Fluid Method Programming language: Fortran, C or similar languages

Lernziele

After successfully completing the module, students have learned how to solve problems of theoretical physics numerically as well as data handling and data analysis using computers. They are able to discuss physical problems and implement solutions numerically. In addition the module supports further competences as e. g. carefullness, persistance, curiosity, working on one's own initiative.

Prüfungsleistung

Prerequisite: • Successful completion of exercise assignments (75% must be reached)Final module examination: • Oral examination, 40 min. (presentation, 30 min. followed by discussion, approx. 10 min.) of one selected numerical problem

Literatur (6)
  • W. H. Press, S. A. Teukolsky, W. T. Vetterling, B. P. Flannery, "Numerical Recipes", Cambridge University Press (1988)
  • R. H. Landau, M. J. Paez, "Computational Physics - Problem solving with computers", Wiley & Sons, (1997)
  • C. A. J. Fletcher, "Computational Techniques for Fluid Dynamics", Vol. 1, Springer-Verlag (2005)
  • M. Bestehorn, "Computational Physics", De Gruyter (2018)
  • H. Haken, "Synergetics", Springer (2012)
  • J. Argyris, G. Faust, M. Haase, R. Friedrich, "An Eploration of Dynamical Systems and Chaos", Springer (2015)

Bemerkungen

• Study programme Physics M.Sc.: Compulsory elective module in complex „Physical Specialization with Theoretical Focus“, topic area „Theory, Simulation and further topics“ • Study programme Applied Mathematics M.Sc.: Compulsory elective module in complex „Applications“, field „Physics“ Self organised studies: • implementation of numerical problems of lectures • solving of problems in exercisesStudents may use their own notebooks (however, software installation is not supported).

Quelle: Modulbeschreibung der BTU · abgerufen 15.10.2026Original

Modulkatalog · inoffiziell

Betula ist ein inoffizielles Projekt und gehört nicht zur BTU.

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Daten vom 21.10.2026WiSe 2026/27Quelle: BTU