Statistical Physics (FYS340)
The subject gives an introduction to statistical physics.
Course description for study year 2023-2024. Please note that changes may occur.
Semester tution start
Number of semesters
Language of instruction
First and second law of thermodynamics. Perfect quantum gas. Second quantisation, Many-particle states, Density Matrix, Fock Space, Partition Function. Free electron gas, Fermi-Dirac statistics, Bose-Einstein statistics, Canonical, Macrocanonical ensembles, Phase transitions, Spin-models (Ising, Heisenberg).
Note that the exam language will be the same as the teaching language.
After completing the course, the student should:
- Understand and apply the connection between micro and macro states for thermodynamical systems.
- Have a good understanding of classical and quantum statistical systems.
- Know about different thermodynamical phenonema at the microscopic level, including phase transitions, heat capacity, magnetisations, spin systems.
- Be able to perform detailed computations for such systems.
Required prerequisite knowledge
Oral exam and presentation
|Form of assessment||Weight||Duration||Marks||Aid|
|Oral exam||2/3||30 Minutes||Letter grades|
|Presentation||1/3||30 Minutes||Letter grades|
Course coordinator:Eero Aleksi Kurkela
Course teacher:Georgios Filios
Head of Department:Bjørn Henrik Auestad
Method of work
|Statistical Physics and Solid State Physics (FYS310_1)||5|