| Course title | Statistical thermodynamics |
|---|---|
| Course code | KFY/PM102 |
| Organizational form of instruction | Lecture + Lesson |
| Level of course | Doctoral |
| Year of study | not specified |
| Semester | Winter and summer |
| Number of ECTS credits | 0 |
| Language of instruction | Czech |
| Status of course | Compulsory-optional |
| Form of instruction | unspecified |
| Work placements | unspecified |
| Recommended optional programme components | None |
| Lecturer(s) |
|---|
|
| Course content |
|
unspecified
|
| Learning activities and teaching methods |
| unspecified |
| Learning outcomes |
|
The course is intended for students who focus on particle modelling of liquids and solids. The course extends and deepens the knowledge and abilities of students in the following fields of statistical physics: - Liouville's theorem in classical and quantum mechanics - Canonical and grandcanonical distributions (different approaches of derivation) - Quasiclassical approximation (a general derivation) - Partition functions and distributions in different statistical ensembles (NPT, Gibbs ensemble, osmotic ensemble) - Partition and thermodynamic functions of molecular gasses (triatomic and larger) - Partition and thermodynamic functions of mixtures - Chemical equilibria of ideal gases - Application of quantum statistics (stability of degenerate stars, electron gas in metals, Bose-Einstein condensate) - Systems of interacting particles - Adsorption, transport processes
|
| Prerequisites |
|
unspecified
|
| Assessment methods and criteria |
|
unspecified
|
| Recommended literature |
|
|
| Study plans that include the course |
| Faculty | Study plan (Version) | Category of Branch/Specialization | Recommended semester |
|---|