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Statistical Physics

This is the study programme for 2020/2021.

The subject gives an introduction to statistical physics.

Learning outcome

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.


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.

Required prerequisite knowledge

FYS200 Thermo- and Fluid Dynamics, STA100 Probability and Statistics 1

Recommended previous knowledge

FYS320 Quantum Mechanics, FYS330 Micro Physics


Oral exam and presentation
Weight Duration Marks Aid
Oral exam2/330 minutesA - F
Presentation1/330 minutesA - F

Course teacher(s)

Course coordinator
Ipsita Mandal
Head of Department
Bjørn Henrik Auestad

Method of work

6 hours lectures/ exercises per week. Language: Norwegian or English.

Overlapping courses

Course Reduction (SP)
Statistical Physics and Solid State Physics (FYS310_1) 5

Open to

Mathematics and Physics - Bachelor's Degree Programme
Mathematics and Physics, 5-year integrated Master's Programme

Course assessment

Form and/or discussion


Literatur will be published as soon as it has been prepared by the course coordinator/teacher

This is the study programme for 2020/2021.

Sist oppdatert: 19.09.2020