Advanced Statistical Physics 2026/7

Content: 

The course will cover:

• Stochastic processes

• Critical Phenomena

• Disordered systems

Previous expected knowledge: 

Basic knowledge of statistical mechanics and probability theory.

Practical information:

1. Information sheet

2. Please register on KLIPS 2.0 to attend the course. 

(Everyone who cannot register on KLIPS: please communicate the full name, matriculation number,  and exercise group preference, to be added manually to the lecture course and the exercise group.)

3. Course information, announcements, and discussions are on Slack: ASM SoSE20267.

4. Register by emailing Arnau Lira Solanilla.

Lecture materials:

• Lecture notes available on ILIAS.

• Recorded lectures available on ILIAS.

Further readings:

• Van Kampen - Stochastic Processes in Physics and Chemistry

• Kardar - Statistical Physics of Fields

• Parisi - Statistical Field Theory 

Exercises:

• Weekly exercises are provided on ILIAS and on Slack.

• Register in Klips or contact Arnau Lira Solanilla if you have issues.

• The first exercise sheet is posted on  October 12 and corrected in class on October 19.

• Exercises can be solved in groups of up to three students. 

• For questions, contact Arnau Lira Solanilla.

Admission to the exam = "1 in 6 TOKENS " method

The “1 in 6 TOKENS ” means that students are admitted to the exam provided that they have presented the solution of 1 exercise at least once and that they have accumulated 6 tokens.  There are 3 different ways to earn tokens:

• ANSWER = 1 token
  Actively participating in the tutorial by adequately answering a question.

• QUESTION = 1 token
  Actively participating in the tutorial by asking a meaningful question that may encourage discussion within the group.

• EXERCISE = 1 or 2 tokes
  Presenting or solving an exercise from the sheets on the blackboard.
  We encourage you to do this way, since a well-prepared and clear presentation of an exercise on the blackboard will be awarded a bonus token (for a total of 2 tokens per blackboard solution).
  At least one of the six admission tokens must be earned via blackboard presentation.