PHYS-435 / 6 credits

Teacher:

Language: English

Remark: Pas donné en 2024-25

## Summary

This course introduces statistical field theory, and uses concepts related to phase transitions to discuss a variety of complex systems (random walks and polymers, disordered systems, combinatorial optimisation, information theory and error correcting codes).

## Content

1. Introduction to statistical field theory

2. Random walks and self-avoiding polymers

3. Percolation, Networks

4. Information theory and error correcting codes

5. Disorded systems (spin glasses) and combinatorial complexity

## Recommended courses

Statistical Physics II

## Learning Outcomes

By the end of the course, the student must be able to:

• Solve problems in complex systems

## Transversal skills

• Assess one's own level of skill acquisition, and plan their on-going learning goals.

## Teaching methods

Ex cathedra. Exercises in class

written exam

## In the programs

• Semester: Fall
• Exam form: Written (winter session)
• Subject examined: Statistical physics III
• Lecture: 2 Hour(s) per week x 14 weeks
• Exercises: 2 Hour(s) per week x 14 weeks
• Type: optional
• Semester: Fall
• Exam form: Written (winter session)
• Subject examined: Statistical physics III
• Lecture: 2 Hour(s) per week x 14 weeks
• Exercises: 2 Hour(s) per week x 14 weeks
• Type: optional
• Semester: Fall
• Exam form: Written (winter session)
• Subject examined: Statistical physics III
• Lecture: 2 Hour(s) per week x 14 weeks
• Exercises: 2 Hour(s) per week x 14 weeks
• Type: optional
• Semester: Fall
• Exam form: Written (winter session)
• Subject examined: Statistical physics III
• Lecture: 2 Hour(s) per week x 14 weeks
• Exercises: 2 Hour(s) per week x 14 weeks
• Type: optional
• Exam form: Written (winter session)
• Subject examined: Statistical physics III
• Lecture: 2 Hour(s) per week x 14 weeks
• Exercises: 2 Hour(s) per week x 14 weeks
• Type: optional

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