Universität Wien
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260069 PUE Computational Physics (2020W)

3.00 ECTS (2.00 SWS), SPL 26 - Physik
Continuous assessment of course work


Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).


max. 25 participants
Language: German


Classes (iCal) - next class is marked with N

  • Friday 09.10. 15:30 - 17:00 Digital
  • Friday 16.10. 15:30 - 17:00 Digital
  • Friday 23.10. 15:30 - 17:00 Digital
  • Friday 30.10. 15:30 - 17:00 Digital
  • Friday 06.11. 15:30 - 17:00 Digital
  • Friday 13.11. 15:30 - 17:00 Digital
  • Friday 20.11. 15:30 - 17:00 Digital
  • Friday 27.11. 15:30 - 17:00 Digital
  • Friday 04.12. 15:30 - 17:00 Digital
  • Friday 11.12. 15:30 - 17:00 Digital
  • Friday 18.12. 15:30 - 17:00 Digital
  • Friday 08.01. 15:30 - 17:00 Digital
  • Friday 15.01. 15:30 - 17:00 Digital
  • Friday 22.01. 15:30 - 17:00 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

Submission of exercises and presentation. Preparation and presentation of a small project at the end of the course.
Due to COVID19 this will be a virtual lecture. Attendence during the lecture is still compulsory and presentation will be made online.

Minimum requirements and assessment criteria

Minimum requirements: exercises and projects must be positive to pass the exam
Evaluation: exercises (80%), project (20%)

Examination topics

Reading list

Skriptum zur Vorlesung (Moodle)

Association in the course directory

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

Last modified: Fr 12.05.2023 00:21