Credits: 5

Schedule: 09.01.2020 - 14.05.2020

Contact information for the course (applies in this implementation): 

IMPORTANT: Note that the "Learning Outcomes" and "Contents" sections are inaccurate and does not reflect the actual course contents. See "Details on the course content" for an up-to-date description.

Dr. Miguel Caro ( will be the lecturer for this course. Rina Ibragimova ( will be teaching assistant.

Teaching Period (valid 01.08.2018-31.07.2020): 

Not lectured 2018-2019

III-V Spring (2019-2020)

Lectured every other year.

Learning Outcomes (valid 01.08.2018-31.07.2020): 

The course extends the student’s knowledge of statistical physics towards the current research. The emphasis is on the theory of non-equilibrium statistical mechanics, where the student will learn about absorbing state phase transitions and their applications in physics and e.g. biology. Then, the student becomes familiar with the topic of active matter systems, both in Nature and as an example of designer matter. 

Content (valid 01.08.2018-31.07.2020): 

Absorbing state phase transitions, self-organized criticality and applications, Active Particle Systems including the Vicsek model, Active gels, Jarzynski equality and stochastic thermodynamics.

Details on the course content (applies in this implementation): 

The course focuses on getting the student acquainted with selected topics in statistical physics related to research carried out in the field. This includes:

  1. Obtaining the thermodynamic properties of gases from configuration-space sampling of the potential energy surface (PES), with specific application to hard-sphere and Lennard-Jones gases;
  2. Kinetic theory of gases and out-of-equilibrium transport phenomena;
  3. Free-energy estimates for liquids from PES sampling techniques;
  4. Brownian motion. An introduction to molecular dynamics as an essential tool for PES in real applications is an integral part of the course, which makes strong use of on-site practicals on computational simulation to test the theoretical concepts developed during the lectures.

Assessment Methods and Criteria (valid 01.08.2018-31.07.2020): 

Project, home work, and student presentations.

Elaboration of the evaluation criteria and methods, and acquainting students with the evaluation (applies in this implementation): 

The evaluation for the course will be based on exercises and projects. There will be some freedom in how the students choose booth which exercises to deliver and the topic of the project.

Workload (valid 01.08.2018-31.07.2020): 

Lectures 24 hrs

Exercises  24 hrs 

Student presentations 12 hrs

Independent study 70 hrs

Study Material (valid 01.08.2018-31.07.2020): 

The course material will be announced on the course web page.

Substitutes for Courses (valid 01.08.2018-31.07.2020): 

This course replaces the course Tfy-3.4361 Advanced Statistical Physics.

Course Homepage (valid 01.08.2018-31.07.2020):

Grading Scale (valid 01.08.2018-31.07.2020): 


Registration for Courses (valid 01.08.2018-31.07.2020): 

Registration via WebOodi.


Registration and further information