FY8907 - Classical Transport Theory

About

Lessons are not given in the academic year 2017/2018

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-Kolomogorov-Smoluchowski equations, 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. The final grade will be based on continuous evaluation, which will comprise of final examination (70%) and mid-term tests (30%). The marks for each activity will be awarded on a percent scale, but the final result will be given in terms of passed or fail. When lectures and lecture material are in English, the exam may be given in English only. A re-sit exam in August may be changed from written to oral.

Further on evaluation

The final grade is based on portfolio assessment. The portfolio includes written exam and report. The evaluation of the different parts is given in %-points, while the entire portfolio is given passed or not passed. For a re-take of an examination, all assessments in the portfolio must be re-taken.

Course materials

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

Credit reductions

Course code Reduction From To
TFY4275 7.5 2010-09-01

Timetable

Detailed timetable

Examination

  • * The location (room) for a written examination is published 3 days before examination date.
If more than one room is listed, you will find your room at Studentweb.