Universität Wien FIND

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Further information about on-site teaching can be found at https://studieren.univie.ac.at/en/info.

Warning! The directory is not yet complete and will be amended until the beginning of the term.

260067 VO Computational Physics (2020W)

4.00 ECTS (3.00 SWS), SPL 26 - Physik



Language: German

Examination dates


Classes (iCal) - next class is marked with N

The first lecture on October 9 will take place in the Collaborate session "Vorbesprechung", which can be found in the Moodle instance of the course.

Friday 09.10. 08:45 - 10:00 Digital
Monday 12.10. 16:45 - 17:45 Digital
Friday 16.10. 08:45 - 10:00 Digital
Monday 19.10. 16:45 - 17:45 Digital
Friday 23.10. 08:45 - 10:00 Digital
Friday 30.10. 08:45 - 10:00 Digital
Friday 06.11. 08:45 - 10:00 Digital
Monday 09.11. 16:45 - 17:45 Digital
Friday 13.11. 08:45 - 10:00 Digital
Monday 16.11. 16:45 - 17:45 Digital
Friday 20.11. 08:45 - 10:00 Digital
Monday 23.11. 16:45 - 17:45 Digital
Friday 27.11. 08:45 - 10:00 Digital
Monday 30.11. 16:45 - 17:45 Digital
Friday 04.12. 08:45 - 10:00 Digital
Monday 07.12. 16:45 - 17:45 Digital
Friday 11.12. 08:45 - 10:00 Digital
Monday 14.12. 16:45 - 17:45 Digital
Friday 18.12. 08:45 - 10:00 Digital
Friday 08.01. 08:45 - 10:00 Digital
Monday 11.01. 16:45 - 17:45 Digital
Friday 15.01. 08:45 - 10:00 Digital
Monday 18.01. 16:45 - 17:45 Digital
Friday 22.01. 08:45 - 10:00 Digital


Aims, contents and method of the course

In one of the major paradigm shifts in physics in the past half century, Computational Physics, the application of purely computer-based methods to the solution of physical problems, has established itself as an independent "third methodology", in addition to the conventional approaches, Experimental and Theoretical Physics. Like its sister disciplines, Computational Physics is a method, rather than a specific subfield of physics, and thus is not limited to any particular area: Applications range from tests of approximate theoretical methods (by providing numerically exact results for well-chosen model systems) to replacement/extension of laboratory experiments to extreme space and time scales or physical conditions. Thanks to the continuous increase in computer power, more and more sophisticated physical models may be simulated in detail and their properties investigated at will.
The first part of this two-semester course, which aims at depth rather than breadth, offers an introduction to the following topics:
(Fast) Fourier Transform
Finite Difference Equations
Partial Differential Equations
Solution of Large Systems of Equations
Finite Elements
Monte Carlo Methods.

Assessment and permitted materials

Die Leistungskontrolle erfolgt über eine schriftliche Prüfung über den gesamten Vorlesungsstoff. Aufgrund von COVID19 wird die komplette Lehrveranstaltung virtuell abgehalten.

Minimum requirements and assessment criteria

Um eine positive Benotung zu erhalten, ist es notwendig bei der Prüfung mindestens 50% der maximal möglichen Punktezahl zu erreichen.

Examination topics

Fourier-Transformation, Differenzengleichungen, partielle Differentialgleichungen, Lösung großer Gleichungssysteme, Finite-Differenzen-Methode, Finite-Elemente-Method

Reading list

Das Skriptum zur Vorlesung steht auf der Moodle-Seite der Vorlesung zum Download bereit.

Association in the course directory

WPF 1, MF 1, MF 9, UF MA PHYS 01a, UF MA PHYS 01b

Last modified: Fr 05.03.2021 08:49