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Statistical Physics

  • Number of credits 4.5 credits
  • Level Bachelor's level
  • Starting Spring Term 2025

About the course

The course begins with a review of basic concepts in statistical physics, including the probability theory. Canonical ensemble and concepts such as partition functions and state density are introduced. The course continues with a review of the theory of large canonical ensemble and its applications. Particular emphasis is placed on particle systems in specific single particle states and in the Bose-Einstein, Planck and Fermi-Dirac distribution functions. Properties of degenerate Bose gases and Fermi gases are derived. Concepts and phenomena such as photon gas, black body radiation, Fermi energy and Bose-Einstein condensation are addressed. The course concludes with a review of the classic border, Maxwell's speed distribution and the equation partition theorem.

Application and eligibility

Statistical Physics, 4.5 credits

Visa tillfällen för föregående termin Spring Term 2025 Det finns inga senare terminer för kursen

Starts

20 January 2025

Ends

2 March 2025

Study location

Umeå

Language

English

Type of studies

Daytime, 50%

Required Knowledge

Thermodynamics, or equivalent. Quantum Mechanics 1, or equivalent.

Entry requirements

Selection

Academic credits Applicants in some programs at Umeå University have guaranteed admission to this course. The number of places for a single course may therefore be limited.

Application code

UMU-53123

Application

The online application opens 16 September 2024 at 13:00 CET. Application deadline is 15 October 2024. How to apply

Application and tuition fees

As a citizen of a country outside the European Union (EU), the European Economic Area (EEA) or Switzerland, you are required to pay application and tuition fees for studies at Umeå University.

Application fee

SEK 900

Tuition fee, first instalment

SEK 10,710

Total fee

SEK 10,710

Contact us

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Course is given by
The Department of Physics
Contactperson for the course is:
Claude Dion