Stud.IP Uni Oldenburg
Universität Oldenburg
07.12.2021 00:39:36
phy501 - Numerical Methods (Vollständige Modulbeschreibung)
 Modulbezeichnung Numerical Methods Modulkürzel phy501 Kreditpunkte 6.0 KP Workload 180 h (180h (attendance: 56h; self-study: 124h)) Einrichtungsverzeichnis Institut für Physik Verwendbarkeit des Moduls Fach-Bachelor Engineering Physics (Bachelor) > Aufbaumodule Zuständige Personen Anemüller, Jörn (Prüfungsberechtigt) Brand, Thomas (Prüfungsberechtigt) Dietz, Mathias (Prüfungsberechtigt) Hartmann, Alexander (Prüfungsberechtigt) Hohmann, Volker (Prüfungsberechtigt) Lücke, Jörg (Prüfungsberechtigt) Meyer, Bernd (Prüfungsberechtigt) Petrovic, Cornelia (Prüfungsberechtigt) Hohmann, Volker (Modulverantwortung) Teilnahmevoraussetzungen Course Mathematical Methods II passed with a grade of at least 4.0. Kompetenzziele Students acquire theoretical knowledge of basic numerical methods and practical skills to apply these methods to physical problems within all areas of experimental, theoretical and applied physics. Modulinhalte Basic concepts of numerical Mathematics are introduced and applied to Physics problems. Topics include: Finite number representation and numerical errors, linear and nonlinear systems of equations, numerical differentiation and integration, function minimization and model fitting, discrete Fourier analysis, ordinary and partial differential equations. The learned numerical methods will be partly implemented (programmed) and applied to basic problems from mechanics, electrodynamics, etc. in the exercises. The problems are chosen so that analytical solutions are available in most cases. In this way, the quality of the numerical methods can be assessed by comparing numerical and analytical solutions. Programming will be done in C or, preferably, in Matlab, which is a powerful package for numerical computing. Matlab offers easy, portable programming, comfortable visualization tools and already implements most of the numerical methods introduced in this course. These built-in functions can be compared to own implementations or used in the exercises in some cases when own implementations are too costly. The tutorials provide basic programming support. Literaturempfehlungen 1. V. Hohmann: Numerical Methods for Physicists, Universität Oldenburg (lecture script; will be provided with the course material) 2. W. H. Press et al.: Numerical Recipes in C - The Art of Scientific Computing. Cambridge University Press, Cambridge, [BIS]http://www.bis.uni-oldenburg.de/katalogsuche/freitext=press+numerical+recipes+art 3. A. L. Garcia: Numerical Methods for Physics. Prentice Hall, Englewood Cliffs (NJ), [BIS]http://www.bis.uni-oldenburg.de/katalogsuche/freitext=garcia+numerical+methods 4. J. H. Mathews: Numerical Methods for Mathematics, Science and Engineering. Prentice Hall, Englewood Cliffs (NJ), [BIS]http://www.bis.uni-oldenburg.de/katalogsuche/freitext=mathews+numerical+methods+science 5. B.W. Kernighan und D. Ritchie: The C Programming Language. Prentice Hall International, Englewood Cliffs (NJ) (in case Matlab is not used for the course) Links Unterrichtssprache Englisch Dauer in Semestern 1 Semester Angebotsrhythmus Modul Annual, summer semester Aufnahmekapazität Modul unbegrenzt Modullevel / module level AC (Aufbaucurriculum / Composition) Modulart / typ of module Pflicht / Mandatory Lehr-/Lernform / Teaching/Learning method Lecture: 2 hrs/week, Tutorial: 2 hrs/week Vorkenntnisse / Previous knowledge Basic computer knowledge; Basic programming skills, in particular Matlab; Knowledge in undergraduate Physics; Courses Mathematical Methods I-III.
Lehrveranstaltungsform Kommentar SWS Angebotsrhythmus Workload Präsenz
Vorlesung
2 SoSe und WiSe 28
Übung
2 SoSe und WiSe 28
Präsenzzeit Modul insgesamt 56 h
Prüfung Prüfungszeiten Prüfungsform
Gesamtmodul
Weekly graded programming exercises (equivalent to lab course), or (not preferred): max. 180 min. written exam or max. 45 min. oral exam