# ICFP Stat Physics 2019 infos

### From Werner KRAUTH

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**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 14 tutorial sessions, 9 homeworks (with solutions, not graded), and one written intermediate (30%) and one written final exams (70%).

## Planning

**Lectures (CM) and tutorials (TD)**: Each Monday morning, from 09 September 2018 through 20 January 2019 () (Lectures: 8:30 - 9:25 am, 9:35 - 10:30 am; tutorials: 10:45 - 11:40 am, 11:50 am - 12:45 pm).
**Attention: No CM/TD on 28 October 2019, 11 November 2019, 23 December 2019, 30 December 2019**

**Intermediate exam**: Monday, 18 November 2019 10:30 - 12:30 in room L357/359, third floor of 24 rue Lhomond.
**Final exam**: Monday, 20 January 2020 09:00 - 12:00 in room Conf IV, second floor of 24 rue Lhomond (orange corridor).

## Localization

The course will take place at the Physics Department of Ecole normale supérieure, 24 rue Lhomond, 75005 Paris.
**Lectures**: room **L357/359**, third floor
**Tutorials**: room **L357/359**, 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 handle elementary Python programs. A number of such programs will be provided, and some will have to be modified for the homework sessions.