Individual course details
Study programme Theoretical and experimental physics
Chosen research area (module)  
Nature and level of studies  
Name of the course Statistical Physics II
Professor (lectures) Prof. Milan Knežević
Professor/associate (examples/practical)  
Professor/associate (additional)  
ECTS 4 Status (required/elective) required
Access requirements Mathematics 4b
Aims of the course Learn the main concepts, laws and methods of equilibrium statistical physics.
Learning outcomes Students will be able to apply the acquired knowledge and methods in studies of equilibrium many-body systems.
Contents of the course
Lectures Central limit theorem of probability theory; stable distributions;Levy distributions. Entropy of a distribution (Shannon entropy). Relative entropy of one distribution with respect to another one. Foundation of classical statistical physics; Liouville's equation. Elements of ergodic theories. Gibbs concept of statistical enesemble.  Distributions for systems described by microcanonical , canonical and  grand canonical enesembles; applications to ideal systems.  Fluctuations of macroscopic quantities in canonical and grand canonical ensemble.  Quantum statistics of identical particles; average occupation numbers for idel bose and fermi particles. Low-temperature thermodynamics of ideal fermions. Bose-Einstein condensation.  Statistics of photon gas. Classical real gases; virial expansion. Density-density correlation functions.  Models of magnetisme. Ising model; exact and mean-field analysis.
Examples/ practical classes  
Recommended books
1 R. Patria, Statistical mechanics, 2nd ed. Butterworth-Heinemann (1996)
2 F. Schwabl, Statistical mechanics, 2nd ed. Springer-Verlag (2006)
3 M. Kardar, Statistical physics of particles, Cambridge University Press (2007)
4 R. Kubo, Statistica physics, North-Holland (1965)
5 M.Knežević, Lecture notes
Number of classes (weekly)
Lectures Examples&practicals   Student project Additional
2 2      
Teaching and learning methods Lectures, example exercises, consultations, homework assignments
Assessment (maximal 100)
assesed coursework mark examination mark
coursework   written examination 30
practicals 10 oral examination 50
papers 10    
presentations