FY550: Statistical Physics
Entry requirements
Academic preconditions
Course introduction
Philosophy of science aspects are included in a discussion of how to move between levels of description, e.g., by deduction from the more fundamental level. In particular, the inherent knowledge loss of chaotic dynamics is used to bridge deterministic and statistical model descriptions and to justify the main axiom of equilibrium statistical physics and thermodynamics.
In relation to the competence profile of the degree the explicit focus of the course is on:
- research-based knowledge of the basic theory formations and experimental methods of physics.
- research-based knowledge of key topics in scientific theory.
Applications:
This course introduces the fundamental rules that describe how particles interact to collectively form matter on macroscopic scales, and thus provides ways to understand and calculate properties of matter. It therefore relates to many sustainability topics: The concept of temperature, for instance, is cardinal to the problems we are facing with climate change, and the roots of the subject (thermodynamics) goes back to steam engines and the need to understand how to efficiently convert between different forms of energy.
Expected learning outcome
Content
- Thermodynamics and statistical mechanics
- Classical and quantum ideal gases, Boltzmann, Fermi-Dirac and Bose-Einstein statistics
- Crystal vibrations, black-body radiation
- Phase-transitions in classical and quantum mechanical systems
Literature
Examination regulations
Exam element a)
Timing
Tests
Written exam
EKA
Assessment
Grading
Identification
Language
Duration
Examination aids
Internet is not allowed during the exam. However, you may visit the course site in itslearning to open system "DE-Digital Exam". If you wish to use course materials from itslearning, you must download the materials to your computer the day before the exam. During the exam you cannot be sure that all course materials is accessible in itslearning.
ECTS value
Additional information
More detailed description of the re-examination rules will be published in Iislearning.
Indicative number of lessons
Teaching Method
At the faculty of science, teaching is organized after the three-phase model ie. intro, training and study phase.
- Intro phase (video lectures): 23 hours (not scheduled)
- Training phase (tutorials): 46 hours
In the skills training phase the students will have the opportunity to work with the concepts and methods presented in the intro phase by solving specific problems.
Activities in the study phase:
- Solving surplus problems (if any) from the tutorials.
- Self-study of the textbook.
- Preparation for the exam.