ICFP NumPhys Paris: Difference between revisions

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= Numerical Physics 2018 =
This is the official web page of the course, which is part of Master ICFP (International Center for fundamental physics) NumPhysParis is a general course in Computational Physics, with applications in statistical physics, atomic and condensed-matter physics.




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* '''Descriptif de cours''' :
* '''Descriptif de cours''' :


Team
Responsible of the courses: Alberto ROSSO (LPTMS, CNRS et Université Paris-Sud, Orsay)


Tutors:
Guillaume ROUX (LPTMS, CNRS et Université Paris-Sud, Orsay)
Marcello CIVELLI (LPS, Université Paris-Sud, Orsay)


* Schedule
Lectures & Tutorials


Lectures on Fridays 13h45 - 15h45
Tutorials on Fridays 15h45 - 17h45
Location:
ENS, 24 rue Lhomond, room L367
ENS wifi password: knottlipt357
===== Schedule =====
<iframe src="https://docs.google.com/spreadsheets/d/e/2PACX-1vS0bnp7cPVTnbxd77_y-QRiuMzLGKq7DOIKsI-LpoXZvOk43ykDL_glD6RlPd9ubz-9RL12Xh_a9igE/pubhtml?gid=245193379&amp;single=true&amp;widget=true&amp;headers=false"></iframe>
<iframe src="https://docs.google.com/spreadsheets/d/e/2PACX-1vS0bnp7cPVTnbxd77_y-QRiuMzLGKq7DOIKsI-LpoXZvOk43ykDL_glD6RlPd9ubz-9RL12Xh_a9igE/pubhtml?gid=245193379&amp;single=true&amp;widget=true&amp;headers=false"></iframe>
===== Exams =====
Oral exams will take place in December 2017 (see schedule).
Grades: 50% 3 homeworks + 1 MCQ (Nov. 17th), 50% oral exam.
===== Language =====
The working language for this course is English.
Programming Language
The programming language that we use is Python 3. You need first of all to have Python installed with at least modules NumPy, SciPy and matplotlib.
===== Thesis advertisement =====
Thinking about your projects for the next year?
To be PhD student in Paris area it is really a great choice...
...but it is not the only one!
Here we recommend you some excellent alternative options coming from good friends looking for motivated candidates:
===== Remarks, Questions =====
We encourage question and comments about all the material. Please post questions and comments on the blogs of this wiki. All students of the course are required to subscribe for the wiki. Questions and answers will be public. We will not answer questions by e-mail.
Post your general questions on this course in the blog at the end of the page.
===== References =====
* W. Krauth Statistical Mechanics: Algorithms and Computations (Oxford: Oxford University Press) (2006), see [http://www.lps.ens.fr/~krauth/index.php/SMAC SMAC]
* Other references are specified in each lectures

Revision as of 13:06, 2 July 2018

Numerical Physics 2018

This is the official web page of the course, which is part of Master ICFP (International Center for fundamental physics) NumPhysParis is a general course in Computational Physics, with applications in statistical physics, atomic and condensed-matter physics.


  • Prerequisites : statiscal physics, quantum mechanics
  • Modalités de contrôle des connaissances : contrôle continu, examen écrit......
  • Volume horaire = répartition précise entre cours et TD - Ces informations sont importantes car seront reliées directement à un logiciel RH.
  • Descriptif de cours :

Team Responsible of the courses: Alberto ROSSO (LPTMS, CNRS et Université Paris-Sud, Orsay)

Tutors: Guillaume ROUX (LPTMS, CNRS et Université Paris-Sud, Orsay) Marcello CIVELLI (LPS, Université Paris-Sud, Orsay)

Lectures & Tutorials

Lectures on Fridays 13h45 - 15h45 Tutorials on Fridays 15h45 - 17h45

Location: ENS, 24 rue Lhomond, room L367 ENS wifi password: knottlipt357

Schedule

<iframe src="https://docs.google.com/spreadsheets/d/e/2PACX-1vS0bnp7cPVTnbxd77_y-QRiuMzLGKq7DOIKsI-LpoXZvOk43ykDL_glD6RlPd9ubz-9RL12Xh_a9igE/pubhtml?gid=245193379&single=true&widget=true&headers=false"></iframe>

Exams

Oral exams will take place in December 2017 (see schedule).

Grades: 50% 3 homeworks + 1 MCQ (Nov. 17th), 50% oral exam.


Language

The working language for this course is English. Programming Language The programming language that we use is Python 3. You need first of all to have Python installed with at least modules NumPy, SciPy and matplotlib.

Thesis advertisement

Thinking about your projects for the next year? To be PhD student in Paris area it is really a great choice... ...but it is not the only one!

Here we recommend you some excellent alternative options coming from good friends looking for motivated candidates:

Remarks, Questions

We encourage question and comments about all the material. Please post questions and comments on the blogs of this wiki. All students of the course are required to subscribe for the wiki. Questions and answers will be public. We will not answer questions by e-mail.

Post your general questions on this course in the blog at the end of the page.

References
  • W. Krauth Statistical Mechanics: Algorithms and Computations (Oxford: Oxford University Press) (2006), see SMAC
  • Other references are specified in each lectures