Course content

The course is concerned with central concepts in classical transport theory and their applications. The following topics are treated: stochastic variables, Markov processes, correlation functions, Wiener-Khinchin theorem, fluctuation-dissipation theorem, Chapman-Kolmogorov-Smoluchowski equation, master equation, Langevin equation and various so-called microscopic equations for describing particle transport. Particular emphasis will be placed on the physical contents and applications of transport theory to chemical reaction kinetics, complex networks, and scattering of light and photon transport in micro- and nanostructures.

Learning outcome

The course provides a general introduction to the fundamental concepts and principles of classical transport theory, together with some modern applications.

Learning methods and activities

Lectures and exercises. When lectures and lecture material are in English, the exam may be given in English only. Expected work load in the course is 225 hours.

Further on evaluation

The final grade is based on a written exam, which counts 100%. Resit exam may be changed from written to oral.

Specific conditions

Recommended previous knowledge

Basic skills in physics, mathematics and statistics.

Course materials

Reading material will be distributed at the start of the semester.

Credit reductions