Title	Automation of Physical Experiments
Code	ÚFV/ARE1b/99	Teacher
ECTS credits	3	Hrs/week	-/3
Assessment	Assessment	Semester	2
T/L method	Practical
Objective	To have students obtain practical skills in programming automated experimental setups.
Content	Temperature controller. Nonlinearity of digital-analogue and analogue-digital converters. Analogue-digital converter with feedback. Study of heat flow in materials with low thermal conductivity. Digital filtering of signal. Controlling step motor. Addressing selected problems in automated experimental setups in the laboratories of the Department of Condensed Matter Physics.
Prerequisite courses	ÚFV/ARE1a/99
Automatic rerequisite courses	ÚFV/ARE1a/99
Recommended reading	Supporting material is available.

Title	Phase Transitions and Critical Phenomena
Code	ÚFV/FPK1/01	Teacher	Bobák Andrej
ECTS credits	3	Hrs/week	2/-
Assessment	Examination	Semester	2
T/L method	Lecture
Content	Thermodynamics of phase transitions. Classification of phase transitions. Critical phenomena, universality. Microscopic models of the magnetic phase transitions. Ising model in one and two dimensions. Mean field theory of the Ising model. Landau theory of phase transitions.
Recommended reading	Stanley H.G.: Introduction to Phase Transitions and Critical Phenomena, Clarendon Press Oxford, Oxford, 1911 Reichl L.E.: A Modern Course in Statistical Physics, University of Texas Press, Austin, 1920 Plischke M., Bergersen B.: Equilibrium Statistical Physics, World Scientific, Singapore, 1991 Kadanoff L.P.: Statistical Physics, Statistics, Dynamics and Renormalisation, World Scientific, Singapore, 2000

Title	Non-conventional Metallic Materials
Code	ÚFV/NKM1/99	Teacher	Janovec Jozef, Sovák Pavol
ECTS credits	3	Hrs/week	2/-
Assessment	Examination	Semester	2
T/L method	Lecture
Content	Materials for microelectronics and physical applications. Biomaterials. Progressive Ti-based materials. Progressive Al-based materials. Magnesium, berillium and copper alloys. Materials for applications in the aircraft industry. Superplastic materials. Nanocrystalline powders. Life extension of materials working under radiation. Technologies related to rare earth elements. Technologies of waste vitrification. Thin films and interfaces. Technologies of surface modification, protection from corrosion and erosion. Materials for the automotive industry.
Prerequisite courses	ÚFV/FMT/03
Recommended reading	D.R. Askeland and P.P. Phulé, The Science and Engineering of Materials, Thomson 2003. Structure and Properties of Engineering Alloys, McGraw-Hill Editons, 1993

Title	Solid State Spectroscopy
Code	ÚFV/SPE1/03	Teacher	Orendáčová Alžbeta, Olčák Dušan, Orendáč Martin, Imrich Ján
ECTS credits	2	Hrs/week	3/1
Assessment	Examination	Semester	3
T/L method	Lecture, Practical
Content	Methods of condensed matter spectroscopy: 1. Mössbauer spectroscopy. The physical bases of Mössbauer effect. Probability of recoil-free nuclear resonance absorption of gamma-radiation in solids. Analysis of hyperfine interactions of nuclei with their surroundings: electric monopole, electric quadrupole, and magnetic dipole interactions. Mössbauer spectroscopy, processing of experimental data, physical interpretation of hyperfine structure of Mössbauer spectra: intensity and width of lines, isomer shift, quadrupole splitting and magnetic splitting.  2. NMR/EPR spectroscopy. Basic properties of nuclei. Interactions of nuclei with magnetic and electric fields. Nuclear paramagnetism. Continual wave and pulse nuclear magnetic resonance techniques. Relaxation processes in nuclear spin system. Electron spin resonance. Spin-orbital interaction and interaction with crystal field. Detection of electron paramagnetic and ferromagnetic resonances..
Alternate courses	ÚFV/SPE1/99
Recommended reading	Dickson P.E., Berry F.J.: Mössbauer spectroscopy. Cambridge University Press, London 1926 Hennel J. W., Kolinowski J.: Fundamentals of Nuclear Magnetic Resonance. Longman Scientific and Technical, Essex 1993 Maddock A.G.: Mössbauer spectroscopy. Principles and Applications of the Techniques. Horwood Publishing, Chichester, 1991 Slichter C. P.: Principles of  Magnetic Resonance, Springer-Verlag, London, 1990

Title	Physics of Semiconductor Elements
Code	ÚFV/PP1/99	Teacher	Kollár Peter
ECTS credits	3	Hrs/week	2/-
Assessment	Examination	Semester	3
T/L method	Lecture
Content	Basic properties of semiconductors. Thermistors. Hall device, magnetoresistor, cryosar, Gunn device, varistor, tensoelectric elements. Semiconductor devices with one PN junction. Bipolar junction transistor. Junction field-effect transistors. MOS field-effect transistors. Contact metal-semiconductor. Silicon chip technology and fabrication techniques. Optoelectronic devices. Charge-coupled devices.
Prerequisite courses	ÚFV/TPJ1/99
Recommended reading	D.J. Roulston, An introduction to the physics of semiconductor devices, Oxford University Press, 1999

Title	Special Practical Exercises I
Code	ÚFV/SPR1/00	Teacher
ECTS credits	3	Hrs/week	-/3
Assessment	Assessment	Semester	3
T/L method	Practical
Objective	To have students gain some insight concerning the concepts of physics presented in the lectures through laboratory exposure; to have students gain experience in data collection, analysis and interpretation of resumance; to have students gain experience with report writing and presenting experimental results.
Content	The measurement of the magnetisation curve and hysteresis loops in a DC magnetic field. The measurement of the hysteresis loop in an AC magnetic field. The measurements of hysteresis loop by transverse Kerr effect. The measurement of magnetostriction by SAMR method. The investigation of domain structure by Bitter technique. The measurements of the Hall constant of ferromagnetic materials. The measurement of magnetisation characteristics by VSM. The measure-ment of magnetisation characteristics by SQUID. The measurement of domain wall characteristics. Differential scanning calorimetry. The measurement of physical characteristics (thermal capacity, electrical resistivity) by PPMS.
Alternate courses	ÚFV/SPR1/99

Title	Quantum Field Theory I
Code	ÚFV/KTP1a/03	Teacher	Hnatič Michal
ECTS credits	6	Hrs/week	3/1
Assessment	Examination	Semester	1
T/L method	Lecture, Practical
Objective	To introduce students to quantum field theory.
Content	Relativistic quantum field conception. Particles as quantum fluctuations of the field. Lagrange formalism. Symmetries and conservation laws. Euler-Lagrange equation. The basic fields: scalar, spinor, electro-magnetic and vector. Equations for the classical fields: Klein-Gordon and Dirac, Maxwell, Lagrange and Hamilton operators. The quantisation of the free fields. Basic quantum field commutation and anti-commutation relations.
Alternate courses	ÚFV/KTP1a/99

Title	Theory of Condensed Matter
Code	ÚFV/TKL1/99	Teacher	Bobák Andrej, Gmitra Martin
ECTS credits	2	Hrs/week	1/2
Assessment	Examination	Semester	1
T/L method	Lecture, Practical
Objective	To teach students to manage basic methods of quasiparticle formalism of solid state physics (electrons, phonons, electron-electron, electron-phonon interactions, magnons).
Content	One-electron approximation. Translation operators and Bloch's theorem. Existence of energy bands. Kronig-Penney model. Nearly free electron theory. Brillouin zones. Tight binding approximation. The k.p. method. Effective mass tensor. Effective mass Hamiltonian. Lattice waves. Linear monoatomic and diatomic lattices. Phonons in one and three dimensions. Acoustic and optical modes. Dynamic matrix. Lattice specific heat. Electron-phonon interactions. The Fröhlich Hamiltonian. The attractive interaction between electrons. Spin waves and Heisenberg Hamiltonian. Linear chain with ferromagnetic interaction. Three-dimensional case. Magnons. Spontaneous magnetisation. Specific heat. Superconductivity. The BCS Hamiltonian. The Bogolyubov-Valatin transformation. The temperature-dependent gap parameter. The transition temperature.
Recommended reading	Ch. Kittel: Quantum Theory of Solids, John Wiley & Sons Inc, 1922 N.W. Ashcroft, N.D. Mermin: Solid State Physics, Harcourt College Publishers, 1916 P.L. Taylor: A Quantum Approach to the Solid State, Prentice-Hall, Inc., Englewood Cliffs, New Jersey, 1910 J.M. Ziman, Principles of the Theory of Solids, University Press, Cambridge, 1912 A.O.E. Animalu, Intermediate Quantum Theory of Crystalline Solids, Prentice-Hall, Inc., Englewood Cliffs, New Jersey, 1921

Title	Neural networks
Code	ÚINF/NEU1/03	Teacher	Andrejková Gabriela
ECTS credits	2	Hrs/week	2/1
Assessment	Examination	Semester	1
T/L method	Lecture, Practical
Objective	To establish student understanding and knowledge for using basic paradigms of neural networks.
Content	Feed-forward and recurrent neural networks; back propagation algorithm to adaptation of neural networks; capability of neural networks to be universal approximators. Hopfield neural networks and solving optimisation problems. Kohonen neural networks. Neural networks in connections to computational models. Theoretical problems of neural networks.
Alternate courses	ÚINF/NEU1/00 orÚINF/NEU1/99
Recommended reading	J. Hertz, A.Krogh, R.G. Palmer: Introduction to the theory of neural computation, Addison Wesley, 1991.

Title	Quantum Field Theory II
Code	ÚFV/KTP1b/03	Teacher	Hnatič Michal
ECTS credits	6	Hrs/week	3/1
Assessment	Examination	Semester	2
T/L method	Lecture, Practical
Objective	To have students examine selected topics in quantum field theory.
Content	Interacting fields. The principle of symmetry and the form of interactions of quantum fields. Lagrange operator in QED. S–matrix. Wick’s theorems and Feynman diagrams. Perturbative calculation of S - matrix. S-matrix and cross section of the processes. Compton scattering of the proton on electron cross section calculation in QCD frame. Radiation corrections and the divergences of the Feynman graphs. Running coupling constant.
Prerequisite courses	ÚFV/KTP1a/03
Alternate courses	ÚFV/KTP1b/99

Title	Transport and Surface Phenomena
Code	ÚFV/TPJ1/99	Teacher	Horváth Denis, Gmitra Martin
ECTS credits	1	Hrs/week	3/-
Assessment	Examination	Semester	2
T/L method	Lecture
Objective	To familiarise students with the effects of charge transport in diffusive and ballistic transport regimes in condensed matter and mesoscopic systems and with methods for the study of these effects.
Content	Diffusive transport: classical transport theory, Boltzmann equation, transport coefficients, electrical conductivity, thermal conductivity, Hall effect, magnetoresistance, fluctuation-dissipation theorem, weak localisation, Aharonov-Borm effect, Anderson localisation. Ballistic transport: resistance of a ballistic conductor, Landauer formula, Landauer-Büttiker formalism, S-matrix and Green's functions, quantum Hall effect, Shubnikov-de Haas effect, tunnelling and Coulomb blockade, orthodox transport theory, mesoscopic systems and nanodevices, single electron transistor, 2DEG (two dimensional electron gas). Spin dependent Transport: giant magnetoresistance effect and its theories, theory of tunnel magnetoresistance, quantum dots, application of magnetic nanostructures.
Prerequisite courses	ÚFV/TKL1/99
Recommended reading	F.F.Y. Wang, Introduction to Solid State Electronics, North-Holland, Amsterdam, 1929. Datta S.: Electronic Transport in Mesoscopic Systems, Cambridge University Press, 1992 Maekawa S., Shinjo T.: Spin Dependent Transport in Magnetic Nanostructures, Taylor & Francis, London & NY, 2002 Heinzel T.: Mesoscopic Electronics in Solid State Nanostructures, Willey-VCH, Weinheim, 2003

Title	Group Theory, Classification and Structure of Elementary Particles
Code	ÚFV/TGC1/03	Teacher	Tóth Ľubomír
ECTS credits	3	Hrs/week	2/-
Assessment	Examination	Semester	1
T/L method	Lecture
Content	Phenomenology of elementary particles and interactions, conservation laws. Lie groups and Lie algebras, representations. Unitary groups   SU(2), SU(3), SU(4), SU(6), SU(n), irreducible representations, Young tableaux. Classification of elementary particles, eightfold way, quark model. New particles, new quarks and higher symmetries. Subquark models, strings, theory of everything.

Title	Computational Physics II
Code	ÚFV/POF1b/99	Teacher	Bobák Andrej, Horváth Denis
ECTS credits	1	Hrs/week	2/1
Assessment	Examination	Semester	3
T/L method	Lecture, Practical
Content	The essence, role and principles of simulations. Ergodicity and quasi-ergodic violation. The molecular dynamics method; computing in NVE, NVT, and NPH assemblies. Langevin and Brownian dynamics. The Monte Carlo method; Metropolisov algorithm. Calculations in microcanonical, canonical and grandcanonical assemblies. Spin lattice systems and their classification, universality, finite-sise scaling, Binder cummulant. Critical slowing down and cluster methods. The histogrammatic treatment of statistical data. Cellular automata and neural nets in physical models. Quantum simulations of liquids.
Prerequisite courses	ÚFV/POF1a/99
Automatic rerequisite courses	ÚFV/POF1a/99

Title	Econophysics
Code	ÚFV/EKF/01	Teacher	Horváth Denis
ECTS credits	1	Hrs/week	2/1
Assessment	Examination	Semester	3
T/L method	Lecture, Practical
Content	Introduction. Pareto and Bachelie approach. The physical "phylosophy" in the formulation of models of social and economic models. The system of measurable quantities in economy, the logarithmic price, the uints of time and price in economy. The stochastic models, random processess and distribution functions, stability of distributions, infinitely divisible process, scaling of distribution functions, Gauss and Lévy distribution, the simulation of random processess via computer. The selected parallels between economy and fluid turbulence, market volatility and intermittence. The correlations of markets, the markets in mutual correlations and anticorrelations. The autocorrelations and analysis of time series. The portfolio taxonomy and the strategy of the joining of enterprises and formation of corporations. The computer modelling of GARCH and ARCH random processes with the variable dispersion of volatility. The models based on the stochastic diferential equations, Black-Scholes model of the rational option price. The Internet as a source of actual economic informations, the indexes M&P 200, DJIA. The modelling of market via system of the autonomous agents on lattice or net with help of the object-oriented programming in C++, the financial market as a spin glass with the Hebbian learning of interactions.
Recommended reading	See the web page: http://122.191.33.210/~horvath/Ekonofyzika/ECONO/VYUKA_EKONOFYZIKA/econophys.pdf

Title	Exactly Solvable Models in Statistical Physics
Code	ÚFV/ERS/01	Teacher	Strečka Jozef
ECTS credits	1	Hrs/week	2/1
Assessment	Examination	Semester	3
T/L method	Lecture, Practical
Objective	The main goal is to become familiar with the simplest exactly solvable models in statistical physics.
Content	Scaling and universality hypotheses. Exact solution of the one-dimensional Ising model in an absence, as well as, in a presence of the external magnetic field: the combinatorial approach and the transfer-matrix method. The dimerisation as a result of the spin-Peierls instability. The two-dimensional Ising model: dual, star-triangle, and decoration-iteration transformations. The two-dimensional Ising model as a model of binary alloys, lattice-gas model and lattice-statistical model of binary liquid mixtures. Frenkel-Louis model and Lin-Taylor model for a reentrant miscibility of liquid mixtures. Exact results for the one-dimensional classical and quantum Heisenberg model, Bethe ansatz solution. Six-vertex model as the ice-type model, the KDP model of ferroelectrics and antiferroelectrics. A nonzero residual entropy and first-order phase transitions. Eight-vertex model and the weak universality hypothesis.
Prerequisite courses	ÚFV/TDF1/99
Recommended reading	R. J. Baxter: Exactly solved models in statistical mechanics,     Academic Press, New York, 1922

Title	Computational Physics II
Code	ÚFV/POF1b/99	Teacher	Bobák Andrej, Horváth Denis
ECTS credits	1	Hrs/week	2/1
Assessment	Examination	Semester	1
T/L method	Lecture, Practical
Content	The essence, role and principles of simulations. Ergodicity and quasi-ergodic violation. The molecular dynamics method; computing in NVE, NVT, and NPH assemblies. Langevin and Brownian dynamics. The Monte Carlo method; Metropolisov algorithm. Calculations in microcanonical, canonical and grandcanonical assemblies. Spin lattice systems and their classification, universality, finite-sise scaling, Binder cummulant. Critical slowing down and cluster methods. The histogrammatic treatment of statistical data. Cellular automata and neural nets in physical models. Quantum simulations of liquids.
Prerequisite courses	ÚFV/POF1a/99
Automatic rerequisite courses	ÚFV/POF1a/99

Title	Automation of Physical Experiments
Code	ÚFV/ARE1a/99	Teacher	Orendáč Martin
ECTS credits	3	Hrs/week	2/-
Assessment	Examination	Semester	1
T/L method	Lecture
Objective	To teach students the design of automated setups for performing selected types of physical measurements and the properties involved in measurement and controlling subsystems.
Content	Structure of systems of automated measurement and control. Characterisation of instruments equipped with microcomputer. Sensors of physical quantities, principle of operation, technical realisation of selected types of sensors. Elements for processing signals from sensors. Electronic regulators, software simulation of analogue regulators. Standard communication protocols: CAMAC, IEEE122, RS232. Universal microprocessors and microcomputers. Digital signal processing. Design of digital filters.
Recommended reading	J. Uffenbeck, Microcomputers and microprocessors, Prentice Hall, 1922 P. Horowitz, W. Hill, The Art of Electronics, Cambridge University Press 1929

Title	Programming, Algorithms, and Complexity
Code	ÚINF/PAZ1a/03	Teacher	Andrejková Gabriela
ECTS credits	9	Hrs/week	3/1
Assessment	Examination	Semester	1
T/L method	Lecture, Practical
Objective	To provide students basic knowledge about principles of programming and to teach them skills involved in program testing.
Content	Algorithmic problems and their solution. Examples of concrete algorithms; formal languages for writing of algorithms. Correctness and testing of algorithms. Properties of programming languages of a higher category. Basic data and statement structure of programming language PASCAL. Procedures, functions, units of functions and procedures. Dynamic data structures, pointers. Complexity of algorithms. Data structures: stack, queue, table.
Exclusive courses	ÚINF/PRG1a/03
Alternate courses	ÚINF/PRA1a/02 orÚINF/PAZU/01
Recommended reading	J. Jinoch et al: Programming language PASCAL, SNTL, Praha, 1922 N. Wirth: Algorithms+Data Structures=Programs, Prentice-Hall,  1916 P. Toepfer: Algorithms and programming technologies, Prometheus, Praha, 1992

Title	Operational Systems
Code	ÚINF/OSY1/03	Teacher	Geffert Viliam, Studenovský Jozef
ECTS credits	2	Hrs/week	2/2
Assessment	Examination	Semester	1
T/L method	Lecture, Practical
Objective	To provide students with knowledge of the basic principles of operating system architecture.
Content	Operating system structure. Linking, loading and executing. History of operating systems, OS concepts. The process model, implementation, communication, classical problems, process scheduling. Memory management, segmentation, swapping, paging, virtual memory. File systems, directories, security and protection mechanisms. Principles of I/O software, interrupt handlers, device drivers, resources, deadlocks. MS-DOS, UNIX, Windows NT, graphic user interfaces. Terminal networks, file server, host server, mapping, redirection. Network operating systems, reliability, access rights, authentication. Microsoft Windows NT system, Novell NetWare, NFS.
Prerequisite courses	ÚINF/PAZ1a/03
Recommended reading	A. Silberschatz, P. Galvin: Operating System Concepts, 2.ed., Addison-Wesley, 1991 A. S. Tanenbaum: Modern Operating Systems, Prentice-Hall, 1992 F. Plášil, J. Staudek: Operační systémy, SNTL Praha, 1992

Title	Functional Programming
Code	ÚINF/FUN1/01	Teacher	Repický Miroslav
ECTS credits	6	Hrs/week	2/2
Assessment	Examination	Semester	1
T/L method	Lecture, Practical
Content	Principles of functional programming. Lambda calculus from the point of view of functional programming languages. Properties of functional programming languages. Programming language SCHEME: the structure of the language and basic computational rule, work with symbolic expressions, block structure and static embedding, functional objects and macros. Comparison of symbolic structures and unification. Rule system, logic system, frame system (comparison, indexing).
Prerequisite courses	ÚINF/PAZ1c/03 or ÚINF/RPR1c/02 o rÚFV/SDF1/99

Title	Nontraditional Optimisation Techniques I
Code	ÚFV/NOT1a/03	Teacher	Horváth Denis, Uličný Jozef, Brutovský Branislav
ECTS credits	2	Hrs/week	2/2
Assessment	Examination	Semester	1
T/L method	Lecture, Practical
Objective	To allow students to learn major optimisation methods.
Content	The classification of optimisation methods. Optimisation function. Multifunction-optimisation. The penalty function. The Barier function. The stochastic and deterministic methods. Gradient methods. The physical picture of gradient optimisation. Blind search and hill climbing methods. Multi-agent evolutionary strategy and meta-optimisation. Genetic algorithms. Quantum mechanical applications of genetic algorithms. Genetic algorithms in variable environments. The training of neural nets as optimisation. Principal component analysis. The prediction of time series.  Monte Carlo techniques and simulated annealing. Optimisation and self-organisation attractor. The self-organised Kohonen nets; neural gas model. Cellular automata models. Agent-based systems. Strategies and demographic games on the lattice. Swarm optimisation.
Recommended reading	J.C.Principe, N.R.Euliano, Neural and Adaptive Systems, John Wiley & Sons. INC., New York, 2000. K.Binder, D.W.Heermann, Monte Carlo Simulation in Statistical Physics, Springer-Verlag, Berlin, 2002.

Title	Neural networks
Code	ÚINF/NEU1/03	Teacher	Andrejková Gabriela
ECTS credits	2	Hrs/week	2/1
Assessment	Examination	Semester	1
T/L method	Lecture, Practical
Objective	To establish student understanding and knowledge for using basic paradigms of neural networks.
Content	Feed-forward and recurrent neural networks; back propagation algorithm to adaptation of neural networks; capability of neural networks to be universal approximators. Hopfield neural networks and solving optimisation problems. Kohonen neural networks. Neural networks in connections to computational models. Theoretical problems of neural networks.
Alternate courses	ÚINF/NEU1/00 orÚINF/NEU1/99
Recommended reading	J. Hertz, A.Krogh, R.G. Palmer: Introduction to the theory of neural computation, Addison Wesley, 1991.

Title	Group Theory, Classification and Structure of Elementary Particles
Code	ÚFV/TGC1/03	Teacher	Tóth Ľubomír
ECTS credits	3	Hrs/week	2/-
Assessment	Examination	Semester	1
T/L method	Lecture
Content	Phenomenology of elementary particles and interactions, conservation laws. Lie groups and Lie algebras, representations. Unitary groups   SU(2), SU(3), SU(4), SU(6), SU(n), irreducible representations, Young tableaux. Classification of elementary particles, eightfold way, quark model. New particles, new quarks and higher symmetries. Subquark models, strings, theory of everything.