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260100 UE Computational Physics I Problem class (2008W)
Continuous assessment of course work
Labels
Vorbesprechung: Mo 6.10.2008, 13:15
Details
Language: German
Lecturers
Classes (iCal) - next class is marked with N
- Monday 06.10. 13:15 - 14:45 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
- Monday 13.10. 13:15 - 14:45 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
- Monday 20.10. 13:15 - 14:45 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
- Monday 27.10. 13:15 - 14:45 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
- Monday 03.11. 13:15 - 14:45 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
- Monday 10.11. 13:15 - 14:45 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
- Monday 17.11. 13:15 - 14:45 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
- Monday 24.11. 13:15 - 14:45 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
- Monday 01.12. 13:15 - 14:45 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
- Monday 15.12. 13:15 - 14:45 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
- Monday 12.01. 13:15 - 14:45 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
- Monday 19.01. 13:15 - 14:45 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
- Monday 26.01. 13:15 - 14:45 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Information
Aims, contents and method of the course
Assessment and permitted materials
Minimum requirements and assessment criteria
Examination topics
Reading list
Skriptum zur Vorlesung: http://www.exp.univie.ac.at/cp1/
Association in the course directory
PD250,310;LA-Ph212(5)
Last modified: Mo 07.09.2020 15:41
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
" Difference Equations
" Partial Differential Equations
" Solution of Large Systems of Equations
" Finite Elements
" Monte Carlo Methods
Part two, to be held in the spring term, is devoted to simulation techniques.
Since the emphasis of the course is on providing practical knowledge, all algorithms are explained in detail and illustrated by sample programs, so that students may readily extend them or write their own code if they wish to. For the same reason, the accompanying problem class is considered an integral part of the course.
Computational Physics I and II are suggested as a basis for the Computational Physics Laboratory.
Prerequisites: Scientific Computing or equivalent; introductory calculus and linear algebra; good programming skills.