Statistical Physics and Thermodynamics
Course offered :
- Current semester
- Next semester
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