# Computer simulations in statistical physics

This lecture/hands-on course provides an introduction to computer simulation methods in statistical physics. The course targets both bachelor and master students familiar with statistical mechanics.

# Modern computational techniques in soft matter physics

The course introduces advanced tools and techniques for performing computer simulations. It is a follow up of the introductory course on “Computer Simulations techniques in Statistical Physics”. Familiarity with basic simulation techniques (molecular dynamics or Monte Carlo simulations) is recommended to attend the course.

# Soft condensed matter physics

The course covers central concepts of soft matter materials (liquid crystals, plastic, and membranes) such as symmetry breaking, phase transitions, cooperativity, scaling, and coarse-graining.

# Charge and energy transfer dynamics in molecular systems

This lecture provides theoretical grounds for understanding charge and energy transfer/transport processes in organic semiconductors. The relevance for the design of light emitting diodes, solar cells, and field effect transistors is outlined.

# Thermodynamics and statistical physics

Course of statistical mechanics for master students. Covers enesembles, statistics, equilibrium and non-eqilibrium dynamics, thermodynamics, phenomelnological description of phase transitions, critical phenomena.

# Introduction to liquid crystals

This course is an introduction to liquid crystalline mesophases. It includes a brief overview of the textures, elastic and mean-field theories, response to external fields, basic optical properties, and some applications of liquid crystalline materials.