Universität Wien FIND

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

260069 PUE Computational Physics (2020W)

3.00 ECTS (2.00 SWS), SPL 26 - Physik
Continuous assessment of course work
Fr 27.11. 15:30-17:00 Digital

Registration/Deregistration

Details

max. 25 participants
Language: German

Lecturers

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 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

Information

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: Mo 05.10.2020 10:10