260038 PUE Advanced Computational Physics (2020S)
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 03.02.2020 08:00 to Mo 24.02.2020 07:00
- Deregistration possible until Th 30.04.2020 23:59
Details
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
e-Learning: shared Moodle page with 260007 VO Advanced Computational Physics (2020S), Andreas Tröster
- Tuesday 17.03. 10:45 - 12:15 Ludwig-Boltzmann-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
- Tuesday 24.03. 10:45 - 12:15 Ludwig-Boltzmann-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
- Tuesday 31.03. 10:45 - 12:15 Ludwig-Boltzmann-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
- Tuesday 21.04. 10:45 - 12:15 Ludwig-Boltzmann-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
- Tuesday 28.04. 10:45 - 12:15 Ludwig-Boltzmann-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
- Tuesday 05.05. 10:45 - 12:15 Ludwig-Boltzmann-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
- Tuesday 12.05. 10:45 - 12:15 Ludwig-Boltzmann-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
- Tuesday 19.05. 10:45 - 12:15 Ludwig-Boltzmann-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
- Tuesday 26.05. 10:45 - 12:15 Ludwig-Boltzmann-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
- Tuesday 09.06. 10:45 - 12:15 Ludwig-Boltzmann-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
- Tuesday 16.06. 10:45 - 12:15 Ludwig-Boltzmann-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
- Tuesday 23.06. 10:45 - 12:15 Ludwig-Boltzmann-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Information
Aims, contents and method of the course
Students prepare and discuss exercises related to the material covered in the lecture "Advanced Computational Physics".
Assessment and permitted materials
This course is conducted with continuous assessment and is graded according to the criteria stated below.
The module “Advanced Computational Physics” is completed by taking the module exam. This exam is graded independently from this course.
The module “Advanced Computational Physics” is completed by taking the module exam. This exam is graded independently from this course.
Minimum requirements and assessment criteria
For grading, a written test towards the end of the semester and the participation in class in the form of presentations and discussions are considered.
In order to attain a positive grade, students have to
- achieve at least 50% of the maximum number of points that can be reached in the written test, and
- give at least two presentations on exercises in class that are complete and correct.Due to the current situation (COVID-19), one or both presentations can be substituted by handing in complete and correct solutions of the posed exercise problems. When substituting both presentations, for a positive grade students have to achieve at least 50% of the maximum number of points that can be reached by handing in solutions.
In order to attain a positive grade, students have to
- achieve at least 50% of the maximum number of points that can be reached in the written test, and
- give at least two presentations on exercises in class that are complete and correct.Due to the current situation (COVID-19), one or both presentations can be substituted by handing in complete and correct solutions of the posed exercise problems. When substituting both presentations, for a positive grade students have to achieve at least 50% of the maximum number of points that can be reached by handing in solutions.
Examination topics
The subject of the written test will be the topics discussed in class during the semester.
Reading list
M.P. Allen, D.J. Tildesley, Computer Simulation of Liquids, Clarendon Press, Oxford, 1978.
D. Frenkel, B. Smit, Understanding Molecular Simulation, Academic Press, San Diego, 2002.
D.C. Rapaport, The Art of Molecular Dynamics Simulation, Cambridge University Press, 1995.
M. E. Newman, G. T. Barkema, Monte Carlo Methods in Statistical Physics, Clarendon Press, Oxford, 1999.
M. E. Tuckerman, Statistical Mechanics: Theory and Molecular Simulation, Oxford University Press, 2010.
David P. Landau and K. Binder, Monte Carlo Simulations in Statistical Physics, Cambridge University Press, 2009.
D. Frenkel, B. Smit, Understanding Molecular Simulation, Academic Press, San Diego, 2002.
D.C. Rapaport, The Art of Molecular Dynamics Simulation, Cambridge University Press, 1995.
M. E. Newman, G. T. Barkema, Monte Carlo Methods in Statistical Physics, Clarendon Press, Oxford, 1999.
M. E. Tuckerman, Statistical Mechanics: Theory and Molecular Simulation, Oxford University Press, 2010.
David P. Landau and K. Binder, Monte Carlo Simulations in Statistical Physics, Cambridge University Press, 2009.
Association in the course directory
M-CORE 1, MaG 7, MaG 8
Last modified: Mo 07.09.2020 15:21