# 260016 UE Computational Physics I Problem class (2012W)

Continuous assessment of course work

## Labels

Ersttermin ist Vorbesprechungstermin!

## Details

Language: German

### Lecturers

### Classes (iCal) - next class is marked with N

Monday
01.10.
13:15 - 14:45
Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien

Monday
08.10.
13:15 - 14:45
Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien

Monday
15.10.
13:15 - 14:45
Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien

Monday
22.10.
13:15 - 14:45
Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien

Monday
29.10.
13:15 - 14:45
Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien

Monday
05.11.
13:15 - 14:45
Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien

Monday
12.11.
13:15 - 14:45
Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien

Monday
19.11.
13:15 - 14:45
Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien

Monday
26.11.
13:15 - 14:45
Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien

Monday
03.12.
13:15 - 14:45
Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien

Monday
10.12.
13:15 - 14:45
Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien

Monday
17.12.
13:15 - 14:45
Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien

Monday
07.01.
13:15 - 14:45
Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien

Monday
14.01.
13:15 - 14:45
Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien

Monday
21.01.
13:15 - 14:45
Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien

Monday
28.01.
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

MF 1, MaG 7, PD250, PD310, LA-Ph212(5), Dok 3.

*Last modified: Mo 07.09.2020 15:40*

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.

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.