ICFP NumPhys Paris: Difference between revisions
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This are my recommendations for tomorrow: | |||
* The QCM has 20 questions for 2 h. | |||
* have a light lunch. | |||
* you can bring all the materials you want. | |||
* If you can, bring your lap top. | |||
Alberto | |||
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Accept the certificat and enter the password available for the current week: | Accept the certificat and enter the password available for the current week: | ||
* 11/11 > 17/11: doutlim939 | * 11/11 > 17/11: doutlim939 | ||
Revision as of 17:52, 15 November 2018
Numerical Physics 2018
This is the official web page of the course, which is part of Master ICFP (International Center for fundamental physics)
This are my recommendations for tomorrow:
- The QCM has 20 questions for 2 h.
- have a light lunch.
- you can bring all the materials you want.
- If you can, bring your lap top.
Alberto
Prerequisites
The program language that we use is Python 3. No previous experience in programming is required.
Grading
3 homeworks (30 points) + 1 MCQ (20 point), oral exam (50 points)
Schedule and Location
- Lectures on Fridays: 13.45-15.45
- Tutorials on Fridays: 15.45-17.45
- ENS, 24 rue Lhomond, room L367
Connecting the "visiteur" wifi service
The network "visiteurs.phys.ens.fr" is for the visitors.
The WIFI password for this networks is: PhysiqueENS
Then you can run a navigator (Firefox, Chrome, IE, Safari...)
Accept the certificat and enter the password available for the current week:
- 11/11 > 17/11: doutlim939
Schedule with notes and tutorials
Forum
here it is please register
Course description
NumPhysParis is a general course in Computational Physics, with applications in statistical physics, atomic and condensed-matter.
We will cover the many numerical algothims used in modern many-body problems: Monte Carlo (classical and quantum), molecular dynamics, stochastic computation, exact diagonalization, optmization in complex landscapes. Implications to computer science problems are also discussed. We focus on algorithms and physics, not on programming and heavy numerics. The theoretical lecture is followed by a tutorial introducing many concrete numerical exercises. You will have to hand in 3 homeworks.
Team
- Alberto ROSSO (LPTMS, CNRS et Université Paris-Sud, Orsay)
- Guillaume ROUX (LPTMS, CNRS et Université Paris-Sud, Orsay)
- Marcello CIVELLI (LPS, Université Paris-Sud, Orsay)
Language
The working language for this course is English.
Programming Language: Python 3. See Memento Python
You need first of all to have Python installed with at least modules NumPy, SciPy and matplotlib.
References
- SMAC W. Krauth Statistical Mechanics: Algorithms and Computations (Oxford: Oxford University Press) (2006)
- Other references are specified in each lectures
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