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260126 PR Laboratory Scientific Computing (2019S)
Continuous assessment of course work
Labels
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).
- Registration is open from Mo 04.02.2019 08:00 to Mo 25.02.2019 07:00
- Deregistration possible until Th 21.03.2019 23:59
Details
max. 15 participants
Language: German, English
Lecturers
- Christoph Dellago
- Cesare Franchini
- Ioana Cristina Garlea-Wulf
- Sofia Kantorovich
- Emanuele Locatelli
- Andreas Tröster
Classes (iCal) - next class is marked with N
- Friday 08.03. 10:30 - 12:30 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien (Kickoff Class)
- Friday 15.03. 10:30 - 12:30 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
- Friday 22.03. 10:30 - 12:30 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
- Friday 29.03. 10:30 - 12:30 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
- Friday 05.04. 10:30 - 12:30 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
- Friday 12.04. 10:30 - 12:30 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
- Friday 03.05. 10:30 - 12:30 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
- Friday 10.05. 10:30 - 12:30 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
- Friday 17.05. 10:30 - 12:30 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
- Friday 24.05. 10:30 - 12:30 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
- Friday 31.05. 10:30 - 12:30 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
- Friday 07.06. 10:30 - 12:30 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
- Friday 14.06. 10:30 - 12:30 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
- Friday 21.06. 09:00 - 13:00 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
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Friday
28.06.
09:00 - 13:00
Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Seminarraum Physik Sensengasse 8 EG -
Monday
01.07.
09:00 - 13:00
Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Seminarraum Physik Sensengasse 8 EG
Information
Aims, contents and method of the course
In this laboratory course, students will learn to solve physics problems using computers. Guided by instructors, students will select a small project and work on it during the semester with regular feedback from the instructors. Possible topics include: molecular dynamics simulations, Monte Carlo simulations, integral equations, electronic structure calculations and optimization. Work will consist in writing code, running simulations, analyzing results and writing a final report. Towards the end of the semester participants will give a presentation of their work to their fellow students and to the instructors. Students have the possibility to write their Bachelor's thesis within this laboratory course. Prerequisites: some knowledge of statistical physics and solid state physics, programming skills.
Assessment and permitted materials
Report and presentation
Minimum requirements and assessment criteria
Examination topics
Reading list
Introduction to Computational Physics, Franz J. Vesely, WUV Universitätsverlag (1993), (also available online)
Monte Carlo Simulations in Statistical Physics, David P. Landau and Kurt Binder, Cambridge University Press (2000).
Statistical Mechanics: Algorithms and Computations, Werner Krauth, Oxford University Press (2006)
Computational Physics, J. M. Thijssen, Cambridge University Press (1999)
Monte Carlo Simulations in Statistical Physics, David P. Landau and Kurt Binder, Cambridge University Press (2000).
Statistical Mechanics: Algorithms and Computations, Werner Krauth, Oxford University Press (2006)
Computational Physics, J. M. Thijssen, Cambridge University Press (1999)
Association in the course directory
PIII 10, LA-Ph213
Last modified: Mo 07.09.2020 15:41