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Course PHYS206

Statistical Physics and Thermodynamics

Course offered :

Current programmes of study

Number of credits 10
Course offered (semester) Autumn
Schedule Schedule
Reading list Reading list

Language of Instruction

English

Pre-requirements

Basic knowledge of minimum 60 ECTS in physics.

Learning Outcomes

After taking the course, students should be able to:

- describe classical and quantum systems with a very large number of particles in a rigorous way, based on the microscopic properties of these particles.

- deduce properties of macroscopic bodies and materials. This is of importance in astrophysics, condensed matter physics, solid state physics, liquid and gas theory and nuclear matter studies.

 

Contact Information

studieveildeder@ift.uib.no

Course offered (semester)

Autumn

Language of Instruction

English

Aim and Content

The course gives an introduction to the Gibbs ensemble formulation of statistical thermodynamics, both in classical and quantum formalism: applications for gases, chemical reactions, binary molecular systems, magnetisation, electron gas and photon gas. The thermodynamics of mixtures and multi-phase systems will be discussed, along with examples of phase transitions and phase diagrams.

Learning Outcomes

After taking the course, students should be able to:

- describe classical and quantum systems with a very large number of particles in a rigorous way, based on the microscopic properties of these particles.

- deduce properties of macroscopic bodies and materials. This is of importance in astrophysics, condensed matter physics, solid state physics, liquid and gas theory and nuclear matter studies.

 

Pre-requirements

Basic knowledge of minimum 60 ECTS in physics.

Recommended previous knowledge

PHYS 115

Assessment methods

Oral exam. Mid-term exam or other exercises can be included in the final grade.

Grading Scale

The grading scale used is A to F. Grade A is the highest passing grade in the grading scale, grade F is a fail.

Contact Information

studieveildeder@ift.uib.no