Universität Wien

260091 VO Scientific Computing (2020S)

3.00 ECTS (2.00 SWS), SPL 26 - Physik

Registration/Deregistration

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

Details

Language: German

Examination dates

Lecturers

Classes (iCal) - next class is marked with N

UPDATE 22.04.2020 (K. Hummer):
Dear students,
I will take over the Scientific Computing lecture of Prof. Kresse from 27.04.20 to 08.06.20. During this time, webinars via "Collaborate" will take place at the regular lecture dates, in which the lecture contents will be discussed using presentations available in Moodle. These webinars are also recorded and made available in the Moodle course.

UPDATE 18.03.2020: Dear students,
as long as the University of Vienna is in emergency operation, a new set of lecture slides and additionally a video with handwritten notes and sound will be put online every Monday evening on the Moodle course page. The lecture will therefore take place in its entirety.

  • Monday 09.03. 13:00 - 14:30 Christian-Doppler-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien
  • Monday 16.03. 13:00 - 14:30 Christian-Doppler-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien
  • Monday 23.03. 13:00 - 14:30 Christian-Doppler-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien
  • Monday 30.03. 13:00 - 14:30 Christian-Doppler-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien
  • Monday 20.04. 13:00 - 14:30 Christian-Doppler-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien
  • Monday 27.04. 13:00 - 14:30 Christian-Doppler-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien
  • Monday 04.05. 13:00 - 14:30 Christian-Doppler-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien
  • Monday 11.05. 13:00 - 14:30 Christian-Doppler-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien
  • Monday 18.05. 13:00 - 14:30 Christian-Doppler-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien
  • Monday 25.05. 13:00 - 14:30 Christian-Doppler-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien
  • Monday 08.06. 13:00 - 14:30 Christian-Doppler-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien
  • Monday 15.06. 13:00 - 14:30 Christian-Doppler-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien
  • Monday 22.06. 13:00 - 14:30 Christian-Doppler-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien

Information

Aims, contents and method of the course

This course deals with basic methods of scientific computing, leaning towards applications in theoretical physics. Scientific Computing is an interdisciplinary field of study, situated between numerical analysis, computer science and natural science. Nowadays, numerical simulations are used to conduct expensive or practically impossible experiments in complex mathematical models of a given physical system. The insights obtained by the simulations may, in turn, suggest new directions for theory.
The students acquire methods for the numerical analysis and the solution of problems in physics.
In the course of the lecture, the following topics will be discussed using simple numerical algorithms: Linear Systems of Equations; Interpolation; Numerical Differentiation; Numerical Integration; Solution of Nonlinear Equations; Fitting; Eigenvalueproblems; Ordinary and Partial Differential Equations. In the concomitant exercises these algorithms will be applied to examples, implemented and visualized.

Assessment and permitted materials

Written examination; no written documents are permitted. The examination time is approximately 1 hour and 30 minutes.

Minimum requirements and assessment criteria

One can achieve typically 40-48 points in the written exam. A minimum of half the points is required for a positive grade. Specifically
Grade 1 100.00% - 87.00%
Grade 2 86.99% - 75.00%
Grade 3 74.99% - 63.00%
Grade 4 62.99% - 50.00%
Failed 49.99% - 0.00%

Examination topics

The material taught in the lecture and during the exercises according to the lecture notes as well as presentation slides and application of this knowledge to simple problems.

Reading list

1) Lecture notes and presentation slides @ E-Learning platform Moodle
2) G. Bärwolff, "Numerik für Ingenieure, Physiker und Informatiker", 2016 Springer-Verlag 2nd ed.; DOI 10.1007/978-3-662-48016-8_1 (further reading to all chapters of the lecture notes with many examples and programs, as E-book accessible via u:access)
3) A. Quarteroni, F. Saleri und P. Gervasio, "Scientific Computing with MATLAB and Octave", 2010 Springer-Verlag 3rd ed.; ISBN 978-3-642-12429-7
4) P. Deuflhard und A. Hohmann, "Numerical Analysis in Modern Scientific Computing An Introduction", 2003 Springer-Verlag 2nd ed.; ISBN 978-0-387-95410-3
(mathematically more profound, no differential equations)
5) P. Deuflhard und A. Hohmann, "Numerische Mathematik 1: Eine algorithmisch orientierte Einführung", 2008 Walter de Gruyter 4th ed.; (1. Band der umfassenden Serie zu Numerischer Mathematik in in German, no differential equations, as E-book accessible via u:access)
6) P. Deuflhard und F. Bornemann, "Numerische Mathematik 2: Gewöhnliche Differentialgleichungen", 2013 Walter de Gruyter 4th ed.; (2nd volume of a series on Numerical Mathematics in German, as E-book accessible via u:access)
7) P. Deuflhard und M. Weiser, "Numerische Mathematik 3: Adaptive Lösung partieller Differentialgleichungen", 2011 Walter de Gruyter; (3rd volume of a series on Numerical Mathematics in German, as E-book accessible via u:access)

Association in the course directory

SCICOM, P14

Last modified: Tu 14.11.2023 00:23