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13E063SF - Statistical Physics

Course specification
Course title Statistical Physics
Acronym 13E063SF
Study programme Electrical Engineering and Computing
Module Physical Electronics - Biomedical and Environmental Engineering, Physical Electronics - Biomedical and Nuclear Engineering, Physical Electronics - Nanoelectronics and Photonics, Physical Electronics - Nanoelectronics, Optoelectronics, Laser Technology
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 methods, mathematical and physical models, algorithms and problmes that occur in studying systems comprised of many particles, present in disciplines of modern physics and technology such as micro- and nanoelectronics, photonics, laser techniques, biomedical engineering, but also in other disciplines linked to large-scale systems like economics, data science, sociology.
    The outcome Students are enabled to use modern methods for describing systems with a very large number of particles. They are capable to apply statistical and kinetic models in micro and nanoelectronics, photonics, laser techniques, biomedical engineering. Students are enabled to use basic computer methods and algorithms inspired by statistical physics.
    Contents
    Contents of lectures Classical systems. Statistical theory of equilibrium states. Micro canonical, canonical, and grand canonical ensamble. Systems of non- and interacting particles. Quantum systems in equilibrium. Statistics of bosons and fermions. BBGKY hierarchy and Boltzmann kinetic equation. Drift-diffusion model. Basics of stochastic processes, theory of fluctuations and time-series analysis.
    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
    4. M.Krstić, D. Gvozdić: Zbirka rešenih zadataka iz statističke fizike, Akademska misao, 2022 (Original title)
    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