# ICFP Stat Physics 2017 infos

### From Werner KRAUTH

Go back to ICFP Statistical Physics main page

**Further infos for the ICFP course**

## Contents |

## Title of the course

Statistical Physics: Concepts and applications

## Scope of the course

This lecture course on statistical mechanics will take students from the foundations of probability theory and statistical inference to the important models and the central concepts and techniques of statistical mechanics. The main focus will be on equilibrium and on classical systems, but we will also treat transport and dissipation, and discuss quantum statistical mechanics for Boson systems and quantum spin models.

## Organization, grading

There will be 15 lectures and tutorial sessions, 9 homeworks (with solutions, not graded), and written intermediate (30%) and final exams (70%).

## Planning

**Lectures (CM) and tutorials (TD)**: Each Monday morning, from 4 September 2017 through 18 December 2017 (Lectures: 8:30 - 9:25 am, 9:35 - 10:30 am; tutorials: 10:45 - 11:40 am, 11:50 am - 12:45 pm).
**Attention: The 4 September Lecture and Tutorial will take place in the afternoon:**
(Lecture 1 only: 2:00 - 2:55 pm, 3:05- - 4:00 pm; tutorial 1 only: 4:15 - 5:10 pm, 5:20 - 6:10 pm)**.**

**Intermediate exam**: Monday, 06 November 2017 10:30 - 12:30 in room L357/359, third floor of 24 rue Lhomond.
**Final exam**: Monday, 15 January 2018 9:00 - 12:00 in room L357/359, third floor of 24 rue Lhomond.

For your information, you can study here the exam I gave to the 2015/16 class. Subjects of this exam were: Basic statistics: MLE (Gaussians, German tank problem), Correlation lengths, Bose-Einstein condensation, and Jamming. See for yourself!

## Localization

The course will take place at the Physics Department of Ecole normale supĂ©rieure, 24 rue Lhomond, 75005 Paris.
**Lectures**: room **L357/359**, third floor
**Tutorials**: room **L357/359** and **L361**, both third floor
**Tutorial 6 november 2016**: room **L357/359** and **XXX**, both third floor

## Prerequisites

This course will be self-contained. Some prior exposure to elementary statistical or thermal physics on the undergraduate level may be helpful.

## Computing requirements

Probability, statistics, and statistical physics are today closely linked to computing. Students should be able to download, run and modify elementary Python programs. Many such programs will be provided, and some will have to be written for the homework sessions.