Navigation

13E063SF - Statistical Physics

Course specification
Course title Statistical Physics
Acronym 13E063SF
Study programme Electrical Engineering and Computing
Module
Type of study bachelor academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
    ESPB 6.0 Status mandatory
    Condition none
    The goal Students are introduced to the fundamentals of physical processes that occur in disciplines of modern physics and technology – micro and nanoelectronics, photonics, laser techniques, biomedical engineering,… due to the large number of particles (electrons, photons, atoms, molecules,…) and interactions between them. The models and methods that describe processes in these systems.
    The outcome Students are enabled to use modern methods for describing systems with a very large number of particles or for describing electromagnetic field. They are capable to apply kinetic models in micro and nanoelectronics, photonics, laser techniques, biomedical engineering.
    Contents
    URL to the subject page http://nobel.etf.bg.ac.rs/studiranje/kursevi/of3sf/
    URL to lectures https://teams.microsoft.com/l/team/19%3ad3AtzhKOX71BN_vfk1xYuIRsWzPHjHzZp5BJ9ArpYx01%40thread.tacv2/conversations?groupId=ef94a884-1307-4ca1-8a95-a6151835250d&tenantId=1774ef2e-9c62-478a-8d3a-fd2a495547ba
    Contents of lectures Classical systems. Statistical theory of equilibrium states. Ideal gas. Real gas. Coulomb gas. Quantum systems in equilibrium. Statistical of photon gas. Semiconductors statistics of electrons and holes. BBGKY hierarchy. Vlasov kinetic equation. Boltzmann kinetic equation. Kinetics of electromagnetic radiation. Stimulated radiation and laser. Drift - diffusion model
    Contents of exercises Selected problems corresponding to theoretical lectures.
    Literature
    1. B.Agarwal, M.Eisner: Statistical Mechanics, John Wiley & Sons, 1988.
    2. Yu.L.Klimontovich: Statistical Physics, Harwood academic publishers, 1986.
    3. J.Radunović: Statistička fizika sa kinetičkom teorijom, e-knjiga, ETF, 2013
    Number of hours per week during the semester/trimester/year
    Lectures Exercises OTC Study and Research Other classes
    3 2
    Methods of teaching 45 hours of lectures and 30 hours of consulting and computational exercises
    Knowledge score (maximum points 100)
    Pre obligations Points Final exam Points
    Activites during lectures 0 Test paper 60
    Practical lessons 0 Oral examination 0
    Projects
    Colloquia 40
    Seminars 0