# NUMPHYsandML

# Numerical Physics and Machine Learning

# Course description

NumPhys is a general course in Computational Physics, with applications in Statistical Physics and Condensed Matter. We cover the many algorithms used in modern many-body problems: molecular dynamics, Monte Carlo (classical and quantum), exact diagonalization and optmization in complex landscapes. Implications to computer science 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)

# Schedule

- Lectures on Fridays: 14.0-16.00
- Tutorials on Fridays: 16h00-18.00
- ENS, 24 rue Lhomond, room Conf IV (2nd floor)

Here you find the scheduling of Lectures, Tutorials and Homeworks

# Language

The working language for this course is English.

Programming Language: Python 3. See Memento Python

**No previous experience in programming is required.**

You need first of all to have Python installed with at least modules NumPy, SciPy and matplotlib.

# Grading

3 homeworks (10 points each) + 1 MCQ (20 points) + 1 oral exam (50 points)

# WIFI

The WIFI network is: **PHYS-GUEST**

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: **numerical.physics@phys.ens.fr**

# Forum

here it is please register

## References

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