Specification for the book of coursesold.elfak.ni.ac.rs/downloads/akreditacija-2013/mas/... ·...

6 Course status (obligatory/elective) obligatoryPrerequisites

Course objectivesCourse outcomes

Theoretical teaching

Practical teaching (exercises, OFE, study and research work)

1

23

4

5

Lectures Exercises OFE Study and research work Other classes

2 2 1Teaching methods

points Final exam points

10 written exam 2015 oral exam 202015

Milić Lj. Miljana, Dimitrijević A. Marko

Pre-exam dutiesGrade (maximum number of points 100)

Number of ECTS

Training student to use the DSP processor for digital signal processing using modern development tools and software.

It is planned that students individually do the following exercises: 1) Manipulation with number of fixed-and floating-point format, 2) Understanding the capabilities of modern development tools for the design, 3) Implementation of FIR and IIR filters using MATLAB and FDATool, 4) Practical application of FFT, 5) Generation of sinusoidal and noise signal, DTM (dual-tone multifrequency) generator and detector; 6) Audio signal processing, sound source location, and the use of the cepstrum in speech recognition, 7) Echoes cancelation, 8) Techniques for channel coding and application in communications, 9) Digital image processing, histogram, filtering, application of standard JPEG and DCT, 10) Medical imaging processing, filtering electrocardiogram (ECG) and electroencephalogram (EEG) signals. Exercises are carried out using software tools MATLAB and Code Composer Studio, and DSP development system.

The goal of this course is to introduce students with the theoretical and practical knowledge required for implementation of the basic algorithms used in the domain of digital signal processing using DSP processors.

Course outline

Review of the theory of digital signal processing. Digitization of analog signals. A/D and D/A converters. Specificity and DSP processor architectures. Representation of the data using fixed and floating point format and arithmetic; the effect of finite length words. Instruction set. Programming the DSP processors in assembly language and higher programming language. Development kits and tools: assembler, linker, simulator, debugger. Programming of DSP algorithms: convolution, correlation, digital filters (IIR, FIR, LMS, DFT, FFT, and IFFT). Audio signal processing using DSP processors. Image processing using DSP processors. Code optimization.

Specification for the book of courses

Lectures, exercises, labs, homework, colloquia, projects, consultations

Textbooks/referencesLectures in the form of scripts available in electronic form on the website of the Faculty, http://es.elfak.ni.ac.rs

Number of classes of active education per week during semester/trimester/year

Kuo, S., Gan, W. S., Digital Signal Processors: Architectures, Implementations, and Applications, 2005, Pearson Educaton Inc., ISBN 0-13-127766-9

Kuo, S., Lee, B., Tian, W., Real-Time Digital Signal Processing: Implementations and Applications, Second Edition, 2006, John Wiley & Sons Ltd, ISBN-13 978-0-470-01495-0

PowerPoint presentations for all lectures, http://es.elfak.ni.ac.rs

Electronics and Microsystems

Nikolić R. Tatjana, Stojčev K. Mile Lecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)

activity during lecturesexercisescolloquiaprojects

Nikolić S. Goran, Milić Lj. Miljana

CommonMScDSP Algorithms and Programming

Study programModuleType and level of studiesThe name of the course

6 Course status (obligatory/elective) obligatoryPrerequisitesCourse objectivesCourse outcomes



1

2

34

5





Davidović S. Vojkan, Pejović M. Milić


Number of ECTS

Necessary knowledge on the operating principles, realization and application of MEM devices.

Practical work with specific types of pressure sensors, acceleration sensors and temperature sensors. Computer simulations and corresponding lab measurements. Design and realization of simple electronic systems exploring these MEM devices.

Introducing the students in the structure, operating principle and application of various microelectromechanical systems (MEMS).

Course outline

Basic elements of MEM systems: sensors, actuators, passive structures and electronic circuits. Techniques for sensing and actuation. Operation and application of following MEM devices: acceleration sensors and gyroscopes, pressure sensors and fluid flow sensors, gas sensors and biochemical sensors, microelectrodes, microphones, micromotors, microelectromechanical valves and micropumps, microelectromechanical resonators, optical and RF switches, digital micromirrors and optical displays, thermomechanical memories, integrated MEM devices.


Power Point and standard blackboard presentation for theoretical teaching. Computer simulations and lab measurements for practice teaching.

Textbooks/referencesPower Point presentation avaliable on Faculty website (www.elfak.ni.ac.rs), corresponding printed material for theoretical study and lab practice.


N, Maluf, K. Williams, An Introduction to Microelekctromechanical Systems Engineering, Artech House, Inc. 2004

V. Vardan, K. Vinoy and K. Jose, RF MEMS and Their Applications, John Wiley, 2003

J. Gardner, V. Vardan and O. Awadelkarim, Microsensors, MEMS and Smarte Devices, John Wiley, 2001.


Pešić M. BiljanaLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Davidović S. Vojkan, Pejović M. Milić

CommonMScMicroelectromechanical systems (MEMS)


6 Course status (obligatory/elective) electivePrerequisites




12

345




30 written exam20 oral exam 30

20

Electronic Devices and MicrosystemsMScLaser Electronics


Stefanović Č. DimitrijeLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Stefanović Č. Dimitrije


Classical lectures, consultations, oral presentations term papers, presentations and review of the original presentation from the Internet.

Textbooks/referencesЦвијетић, М. Дигиталне свјетловодне телекомуникације, Научна књига, Београд, 1989.


Chartier, G., Introduction to Optics, Springer, 2005.

Лукатела, Г; Драјић, Д.; Петровић, Г., Дигиталне телекомуникације, Грађевинска књига, Београд, 1978.



Number of ECTS

Detailed knowledge of laser devices and systems.

Design, construction and manufacturing base excitation optoelectronic circuits.Tours of companies that produce and / or use optoelectronic components, devices and systems.Seminar papers and business plans.

Introduction to the laser light sources, their excitation and structures, and applications in various fields of technology, medicine and consumer products.

Course outline

Laser techniques as part of optoelectronics and its role in electronics, especially in telecommunications. Spontaneous and stimulated emission. Laser light sources, modulators, optical transmitters and detectors. Gas, liquid and solid lasers. Semiconductor lasers. The characteristics and limitations of the laser. Quantum optoelectronics. Sources and transmissions of light. Complex optical and electro-optical structure of telecommunications systems.


Course objectives

Course outcomes



1

2

3

45

Lectures Exercises OFE Study and research work Other classes2 2 1

Teaching methods



Paunović V. Vesna


Number of ECTS

Students develop the capacity to deal with scientific, development and technological problems either alone or as members of a team, as well as to organize scientific research. They should also be able to take part in research projects owing to the experience gained through the research during studies.

Lectures, laboratory excercises, consultations. Seminar paper. Colloquia and tests.

Gaining academic knowledge on advanced materials for energy sources, the ability to interlink multidisciplinary knowledge. Gaining knowledge about the latest developments in advanced materials research and their application in new and alternative energy sources. Studying the structure – properties – applications and energy – materials – information relationship.

Course outlineEnergy as a global priority issue. Materials for new and alternative energy sources. Solar energy and materials for solar cells. Electrochemical properties of materials. Electrical energy based on electrochemical processes. Batteries and micro-batteries based on ceramic materials for electronic applications. Batteries and battery systems for specific purposes (portable devices and electric or hybrid vehicles). Solid-oxide fuel cells (SOFC). Alternative energy sources (based on fluid motion: wind energy (wind generators), energy of electrical discharge in the atmosphere, water energy (mini hydropower plants), energy of underground gas sources, energy of lithosphere plate deformation (earthquakes, volcanoes) and new materials. Electronic power components and systems for the energy transformation. Microelectronic power sources for highly integrated electronic circuits and systems. Components and systems for space technology. Fusion power generation materials and mini-reactors. Electronic materials, components and systems for the management and control of climate change and earthquakes. Engineering in the design and installation of components and systems of different energy sources.Global strategy of research and development of new materials for new and alternative energy sources.


Lectures, consultations, computational and laboratory exercises

Textbooks/referencesDonald J. Bray, New Applications of Advanced Ceramics and the Path to Commercialization, Morgan AM&T, Daytona Beach, 2008.


European White Book of Fundamenral Research in Materials Science Max-Planck-Institut fur Metallforschung Stuttgart Publishers: Max-Planck-Institut fur Metallforschung Stuttgart M.Ruble, H.Dosch, E.J.Mitemeijer, M.H.van de Voorde, 2001.

Steven J. Zinkle, Materials for Next Generation Nuclear Energy, Oak Ridge National Laboratory, Daytona Beach, 2008.


Mitić V. VojislavLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Mitić V. Vojislav

Electronic Devices and MicrosystemsMScMaterials for Advanced and Alternative Energy Sources


6 Course status (obligatory/elective) electivePrerequisitesCourse objectivesCourse outcomes



12345






Number of ECTS

Knowledge of base technique of nanomaterial obtaining, nanodevices fabrication, characterization and modeling techniques, and applying.

Tutor work.

Introducing to characteristics of nanomaterials ( with emphasis on carbon nanotubes), to methods of nanodevices fabrication, as well as their applying.

Course outlineStructure and characteristics of carbon nanotube. Techniques of carbon nanotube obtaining. Characterization technique. Applying of carbon nanotubes.


Lecturers, tutor work

Textbooks/referencesCarbon nanotubes - Science and Applications, Ed. M. Meyyappan, CRC Press, 2005.


Advanced nanoelectronics, Ed.Razali Bin Ismail, CRC Press, 2012


Golubović M. SnežanaLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Davidović S. Vojkan

Electronic Devices and MicrosystemsMScNanoelectronics





12345





Electronic Devices and MicrosystemsMScRF Microelectronics


Janković D. NebojšaLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Vračar M. Ljubomir


Auditorial teaching, Laboratory exercise, student tutorials

Textbooks/referencesB. Razavi, "RF Micorelectronics", Prinmtence Hall PTR (2011)


S. Voinigescu, "High-Frequency Integrated Circuits", Cambridge University Press, 2013


Vračar M. Ljubomir


Number of ECTS

Student training for capacity to sucesfully design the functional blocks of RF microelectronic circuits using the dedicated state-of-art software packages.

Laboratory exercises include the use of dedicated software package for designing RF integrated circuits. Each student obtains a final project assignment that aims to verify that the student can design and check the functionality of some practical RF circuit block .

Acquiring the knowledge needed for understanding the principles of operations and applications of RF microelectronics circuits

Course outline

Introduction to RF and wireless technology. Basic concepts of RF design: effects of non-linearity, noise, sensitivity and dynamic range, transformation of passive impedance, scattering parameters. Communication concepts: analog and digital modulations, mobile RF communications, standards of wireless transmittion. Architectures of transmitters and receisivers , Low-noise amplifiers (LNAs). Frequency mixers. Integrated passive components. Oscillators. Phase detectors. Phase-Lock-Looped oscillators (PLL). Frequency oscillators. RF power amplifiers.




1

2

345





Electronic Devices and MicrosystemsMScThermovision


Mančić D. Dragan, Radmanović Đ. MilanLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Radmanović Đ. Milan


Lectures; Auditorial exercises; Laboratory exercises; Computer exercises; Consultations.

Textbooks/references

R.Thomas, Thermography Monitoring Handbook, Coxmoor Publishing Company, Oxford, 1999.


PowerPoint presentation.

H.Maldague, P.O.Moore, NDT Handbook on Infrared and Thermal Testing, American Society for NonDestructive Testing, 2001.


Đošić M. Sandra


Number of ECTS

Theoretical knowledge on the fundamentals of thermovision. Mastering the technique of recording and interpretation of the results of thermal imaging inspections.

Thermal imaging camera Varioscan 3021ST. Thermal imaging inspection of electronic devices. Thermal imaging inspection of energy efficiency of buildings. Thermal imaging inspection of the power grid. Thermal imaging inspection of a thermal pipeline system. Thermal imaging inspection of patients in medicine. Processing of thermal images using Irbis software.

Acquiring the fundamental knowledge about thermovision and practical application of a thermal imaging camera.

Course outlineIntroduction to thermal imaging. Theory of infrared radiation. Detection of infrared radiation and temperature measurement. Devices for temperature measurement. Operation principle and types of thermal imaging cameras. Practical aspects of thermal imaging cameras. Application of thermal imaging in a preventive maintenance and testing in various areas. Processing and analysis of thermal images.




1

2345






Number of ECTS

Theoretical knowledge of physical processes in vacuum and gases, as well as of principles of vacuum diode, gas tube and gas laser operation.

Tutor work.

Acquisition of theoretical knowledge in the aim of understanding the vacuum and gas devices operation.

Course outline

Current flow through vacuum.Electron emission from metal. Electrical characteristics of vacuum diode. Diode operation at high frequency. Basics of triode. Electrical characteristics of real triode. General characteristics of multiple grid tube. Photocell and photomultiplicator. Hyperfrequent tubes. Townsend,s discharge. Transient phase and breakdown. Ionization chambers. Proportional counters. Geiger-Muller-s counter. Voltage regulation tubes. Gas rectifiers. Gas lasers. Gas panels.


Lecturers, exercises, tutor work


C.L. Hemenway, R.W. Henry, M. Caulton, Физичка електроника, Грађевинска књига,Београд, 1974.


M. Sadlacek, Electron Physics of Vacuum and Gaseous Devices, John Wiley&Sons, 1996


Golubović M. SnežanaLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Živanović N. Emilija

Electronic Devices and MicrosystemsMScVacuum and Gas Devices






1

2345




10 written exam 30oral exam 30

30

ElectronicsMScAdaptive signal processing


Pavlović D. VlastimirLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Stančić Z. Goran


Lectures, auditory exercises, laboratory exercises, consultation


Amuel D. Stearns, Digital signal processing with examples in Matlab, CRC Press Washington, 2003.


Cowan N and Grant P., Adaptive filter,s Prentice-Hall Englewood Cliffs New Jersey, 1985.Simon Haykin, Adaptive filter theor,y Prentice Hall, Englwood Cliffs. New Jersey, 1986.


Stančić Z. Goran


Number of ECTS

Theoretical and practical knowledge of the methods for the design of adaptive filters. Mastering the techniques of nonrecursive adaptive filters design.

Least-squares approximation calculations in Matlab for analog signals. Least-squares approximation calculations in Matlab for digital signals.Orthogonality. The discrete Fourier series. Correlation. Covariance. Realization of linear predictor, system identification, channel equalization and interference canceling in Matlab.

Acquiring basic knowledge of adaptive digital signal processing. Introduction to the methods of practical implementation of the adaptive filter transfer function. Introduction to basic Matlab commands for analyzing and processing of digital signals.

Course outlineLeast-squares approximation. Correlation. Discrete Fourier transform. Random signals. Spectral estimation. Power density spectrum. Signal energy. Properties of the power spectrum. Power spectral estimation. Wiener filter. Kalman filter. Least-squares system design. Linear predictor realization. System identification. Channel equalization. Interference canceling. Adaptive notch filters. МSE function. Covariance. Convergence time constants. Ideal condition convergence. Steepest-descent algorithm. LMS algorithm. Modified LMS algorithms. RLS algorithm. Measures of adaptive system performance. Learning curve.

6 Course status (obligatory/elective) electivePrerequisitesCourse objectives

Course outcomes



12345





30

ElectronicsMScOpen source operating systems


Milovanović P. DragišaLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Dimitrijević A. Marko


Lectures, laboratory practice, individual projects.

Textbooks/referencesP. P. Silvester, "UNIX vodic kroz sistem", Mikro Knjiga, prevod, 1992.


Z. Jelić, "UNIX vodič za korisnike", Beograd 1989.




Number of ECTS

Mastering the knowledge and skills of using and administering open source operating systems (OOS), application installation on OOS and OOS networking. Learning user interface (shell) and script programming.

Login procedure. General purpose commands. Working with files and folders. File system. Working environment and specific commands. Archiving. Process control. Communication with other users. Text editors. Shell (bash, tcsh, zsh) and shell programming. Regular expressions. Graphic user interface. System administering. Application installation and maintenance. Commands related to networking. Basic networking.

Acquiring the necessary knowledge for using open source operating systems Linux/Unix (Solaris 10).

Course outlineThe history of open source operating systems (OOS). Advantages of OOS under other operating systems. OOS architecture. Kernel. File system. Security models of OOS. Shells and shell programming. Graphical user interface. Computer networks and network services.





12345


2 2Teaching methods



40

Stojanović V. Nikola


Number of ECTS

Students will be trained for character and skeletal systems modelling in 3D animation. They shall master character animation techniques, as well as recording and editing of movements.

Modelling of characters and skeletal systems. Making of controls. Character set. Character animation. Motion capture using Kinect. Introduction to programs for editing files with "captured motions".

Presentation of modeling techniques for characters and skeletal systems in 3D animation.Description of character animation techniques.Recording and editing movements in 3D animation.

Course outlinePolygonal modelling of a simple character. Making of a simple skeletal system. Making of controls. Character set. Character animation. "Motion capture" systems using Kinect. Programs for editing files with "captured motions".


Lectures, laboratory exercises.

Textbooks/referencesPeter Ratner, "3-D Human Modeling and Animation", John Wiley & Sons, 2003.


Morgan Robinson, “Maya 8 - Vizuelni brzi vodič“, Kompjuer biblioteka, 2007.Steve Roberts, "Character Animation in 3D", Focal Press, 2004.


Stojanović V. NikolaLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


ElectronicsMScCharacter animation






12

345





40

ElectronicsMScRF systems


Jovanović S. Goran, Stojčev K. MileLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Cvetković S. Stevica


Lectures, exercises, laboratory exercises, consultations.

Textbooks/referencesG. Jovanović, RF systems, script, available on the website of the course.


D. Krstić, Radioengineering – Radio Communications Electronics and Systems, Faculty of Electronic Engineering, Niš, 2003.




Number of ECTS

Introducing students with the process of planning and designing radio links. Training for practical application of electromagnetic simulation.

Radio links design. The impact of terrain’s topology to signal attenuation.Tools for electromagnetic simulation. Antenna design. Example of compact planar antenna.Basic building blocks in RFID systems. Implementation of RFID readers for frequency ranges 125 kHz and 13.56 MHz.Metal detectors.

Description of modern radio systems, operating principles and characteristics. Presentation the design of radio links. Principle of antenna design. Usage of electromagnetic simulation in a design procedure.

Course outline

Software radio. Cognitive radio.Radio waves propagation.Antennas, characteristics, basic types. Electromagnetic simulations. Compact planar antennas.Radio Frequency Identification RFID. RFID tags and readers.Global positioning systems and systems for ground / sea navigation.Ultra wide band (UWB) radio transmission.Radars. Metal detectors. 4G networks.

6 Course status (obligatory/elective) ElectivePrerequisitesCourse objectivesCourse outcomes



1

2345







Number of ECTS

Theoretical knowledge on power supplies. Mastering the techniques of development, realisation and application of power supplies.

Acquiring the fundamental knowledge about power supplies, methods of their realisation and practical application.

Course outline

Types of power supply. Linear power supplies. Direct converters. Converters with insulation. Control methods of switching supplies. Power supply systems. Centralized and decentralized power supplies. Grounding of a system. Voltage balance. Uninterruptible power supplies (UPS). Elements of a system. Batteries and accumulators. Methods of implementation. Methods of regulation and control.



Textbooks/referencesM.Radmanović, D.Mančić, Izvori napona napajanja, Faculty of Electronic Engineering, Niš, in print, 2013.


A.Pressman, Switching Power Supply Design, McGraw Hill., New York, 1998.PowerPoint presentation.


Radmanović Đ. Milan, Mančić D. DraganLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)



ElectronicsMScPower Supplies



Course objectives

Course outcomes



1

23

4

5


Teaching methods



Jovanović D. Milica


Number of ECTS

After successful completion of this course, students are expected to be able to: a) model and specify embedded systems at high levels of abstraction; b) Analyze hardware/software tradeoffs, algorithms, and architectures to optimize the system based on requirements and implementation constraints.

Several laboratory exercises and mini-projects will be assigned with focus on using SystemC language to specify, simulate, analyze, model and design hardware-software systems based on examples of typical embedded applications. This course will include a final project about modeling a system-on-chip design at different levels of abstraction with focus on design space exploration.

The course objective is to teach students with methods and tools for modeling/specification, exploration, partitioning, synthesis (hardware, software, and interface), validation/verification and design of embedded systems.

Course outlineIntroduction to embedded system design: application areas and examples, common characteristics, and challenges in embedded systems; traditional design flow, platform-based design. Specifications and modeling: requirements, models of computation, communicating finite state machines, data flow models, process networks, Petri nets, discrete-event based languages, levels of hardware modeling; comparison of models of computation. Introduction to system-level design languages: SpecC, SystemC. Transaction-Level Modeling. Evaluation and validation: performance evaluation, energy and power models, simulation, emulation, formal verification. Application mapping: problem definition, scheduling in real-time systems, hardware/software partitioning, mapping to heterogeneous multi-processors.


Lectures, exercises, laboratory exercises, homework, seminar work, consultations

Textbooks/referencesD. Black, J. Donovan, B. Bunton, A. Keist, SystemC: From the Ground Up, Second Edition, Springer, 2010.


Additional course materials, such as lecture notes and tutorial documents, will be available on the faculty website.

D. D. Gajski, S. Abdi, A. Gerstlauer, G. Schirner, Embedded System Design: Modeling, Synthesis, Verification, Springer, September 2009. ISBN 978-1-4419-0503-1.

Peter Marwedel, "Embedded System Design'', Kluwer Academic Publisher, 2003.


Đorđević Lj. Goran, Stojčev K. MileLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)



ElectronicsMScEmbedded System Design



Course objectives

Course outcomes



1

23

4

5





ElectronicsMScAdvanced microporcessor architectures


Stojčev K. Mile, Nikolić R. TatjanaLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)





Textbooks/referencesMile Stojčev, Emina Milovanović, Tatjana Nikolić, Multi- and many-core system on chip, Faculty of Electronic Engineering Niš, in Serbian, 2012.


Barbara Chapman, Gabriele Jost, Ruud van der Pas, Using OpenMP, Portable Shared Memory Parallel Programming, The MIT Press, Cambridge, MA, 2008.

Scarpino M., OpenCL in Action: How to Accelerate Graphics and Computation, Manning Publications, 2012.





Number of ECTS

a) Acquiring knowledge of modern multicore on-chip microprocessor, b) Ability to design and programming of homogeneous and heterogeneous multiprocessor systems-on-chip, c) Create a multithread programs, performance evaluation using code profiler and debugging code, d) Architecture design and application-specific processor code design.

During implementation of the plan and program the students need independently do the following exercises: 1) performance evaluation of the system with parallel execution of program sections, 2) creating a thread, 3) creating parallel-sequential programs, 4) usage of parallel library program for multicore machines, 5) creating a code with threads by modification the serial code, 6) creating complex multithread parallel programs.

To familiarize students with current trends and future development of microprocessor architectures. Matter that is taught relates to a high-performance processor and various techniques of parallelism to be implemented at the level of threads and processes.

Course outlineTrends in technology scaling. Moore's law. Measures for performance evaluation. Techniques to improve performance. Reducing energy consumption. Operating mode for saving energy in a microprocessor. Throughput increasement. Basic concepts of parallel programming. Parallelism at different levels. Concurrent and distributed systems. Processes. Threades. Data transfer and synchronization. Forms of parallel programming. The structure of the program. Multicore processor architectures. Multicore system programming. Manycore processors. Characteristics of symmetric and asymmetric multiprocessor architectures. Application specific processors. Data level parallelism with SIMD and GPU architecture. Multicore and manycore systems programming using OpenCL, OpenMP and MPI.




1

2345


2 2Teaching methods



40


Number of ECTS

Acquiring theoretic knowledge and practical skills; Handling of mathematical methods and applying in problems solution.

exercises

Acceptance of basic knowledges necessary for implementing programs for interactive modeling of free form curves and for fractal modeling

Course outlineElements of convex analysis. Optimization problems. Linear programming. Simplex method. Duality method. Unconstrained nonlinear programming. Gradient methods. Conjugate directions methods. Constrained nonlinear programming. Penalty function method. Flexible tolerance method. Elements of Game theory. Optimal strategies. Elements of dynamic programming. Networking algorithms.


lecturing using blackboard, practical exercises

Textbooks/referencesLj. M. Kocić, G. V. Milovanović, S. Marinković, Operational researches,Univ. Nis, Faculty of Electronic Engineering, 2007.


Lj. M. Kocić, Functions of manz variables, Univ. Niš, Faculty of electronic engineering, 2008.


Ljubiša M. Kocić, Slađana D. MarinkovićLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Ljubiša M. Kocić, Slađana D. Marinković

ElectronicsMScOperational research



Course objectives

Course outcomes



1

23

45





030

ElectronicsMScMixed signal integrated circuit design


Petković M. Predrag, Damnjanović S. MilunkaLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Mirković D. Dejan


Lectures, Auditive exercises, Practice exercises, Consultations, Individual and group projects

Textbooks/referencesP. Petković, Projektovanje CMOS integrisanih kola sa mešovitim signalima, Elektronski fakultet, 2009,ISBN 978-86-85195-86-0.


MentorGraphics ASIC Design Suite and Asic Design Kit documentationhttp://leda.elfak.ni.ac.rs/?page=education/PEK/IKMS_EKIS.htm

Petković, P., Milić, M., Mirković, D.: VHDL i VHDL-AMS podrška projektovanju elektronskih kola i sistema, Univerzitet u Nišu, Elektronski fakultet, Edicija Pomoćni udžbenici, 2010, 270 str., ISBN 978-86-85195-85-3

Baker, J. R., CMOS Mixed-Signal Circuit Design, IEEE Press, 2002, ISBN 0-471-22754-4


Mirković D. Dejan


Number of ECTS

Gaining competence for mixed signal integrated circuit design. It is expected for students to learn how to use VHDL-AMS to model mixed signal circuits, dimension components of analog and digital parts, use programs for verification and physical design of integrated circuits, write project documentation and present project results.

Knowledge adopted from theoretical lectures is further improved through skills obtained working in one of the leading industry CAD/EDA standards, Mentor Graphics ASIC Design Suite, in UNIX/LINUX environment.

Adoption and systematization of knowledge necessary for designing electronic circuits which imply digital and analog signals with special emphasizes on point of interconnection between digital and analog domains.

Course outline

VHDL-AMS basics. ADC and DAC behavioral models. Quantization noise. Convertor performances. Effective number of bits. Improving signal-to-noise ratio using feedback. Circuits for noise shaping. Improving signal-to-noise ratio with averaging. Sampling circuits. Switched Capacitor (SC) and Switched Current (SI) circuits. Programmable gain amplifiers (PGA). ADC architectures and design. Sigma-Delta (SD) modulator. MASH architecture. Decimation filters for ADCs. DAC architectures and design. Effects of signal cross-talk. Clock signal. Thermal effects. Substrate effects. Influence of parameter tolerance and component mismatch.




1

2

345





30

ElectronicsMScSmart grid techologies


Milovanović P. DragišaLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)





Textbooks/referencesJ. Ekanayake et. al.: "Smart Grid: Technology and Applications", Wiley and Sons, 2012, ISBN: 978-0-470-97409-4


T. Flick: "Securing the Smart Grid", Elsavier, 2011, ISBN: 978-1-59749-570-7

J. Momoh: "Smart Grid: Fundamentals of Design and Analysis", Wiley and Sons, 2012, ISBN: 978-0-470-88939-8




Number of ECTS

Mastering the knowledge in smart grid technologies: control, communication, energy production, energy storage, energy efficient distribution and smart metering.

Distributed generation - wind, photovoltaics, fuel cells. Power grid SCADA systems. Securing smart grids. Smart meters and devices in the context of establishing microgrids. Properties of contemporary electric loads in power grid: harmonic distortion, THD, active/reactive/distortion power, power factor and power factor correction.

Acquiring the necessary knowledge of smart grid technologies.

Course outlineIntroduction in smart grid. Energy-efficient transmission. Command and control. Metering and home area networks. Data transfer in smart grids. Microgrids. Energy-efficient buildings. Energy consumption forecasting.


Course objectives

Course outcomes



1

2

345




written exam20 oral exam 40

40

Andrejević-Stošović V. Miona


Number of ECTS

Acquiring competences for creation of physical models of electronic circuits elements, as well as for the models based on the black box.

Within this course practice is planned based on the use of Spice simulator.

Adopting and systematizing knowledge about modeling elements of electronic circuits and systems from the level of the semiconductor components to the macromodels on the system level.

Course outlineIntroduction to modeling. Properties of the electronic circuits models. Methods for modeling. Characterization of models and modeling procedures. Black box models. Physical models. The hierarchy of models. Models for small signals. Local models. Global models. The accuracy of the model. Models of pnpn semiconductor structures. Models of JFET and MOSFET. Models of components with regenerative properties. Macromodels of analog cells. Macromodels of digital cells. Generating of macromodels. Noise modeling. Modeling of non-electrical quantities. Modeling of solar cells and panels.



Textbooks/referencesV. B. Litovski: Modelovanje komponenata elektronskih kola i sistema, Unigraf Niš, 2009, ISBN: 978-86-85195-74-7.


V. B. Litovski: Projektovanje elektronskih kola, Nova Jugoslavija, Vranje, 2000, ISBN 86-7369-015-3


Damnjanović S. MilunkaLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Andrejević-Stošović V. Miona

ElectronicsMScModeling the components of electronic circuits and systems



Course objectives

Course outcomes



12

3

4

5


2 2Teaching methods



35


Number of ECTS

Knowledge of the main characteristics of broadband access technologies. Ability to choose the optimal architecture of access network for an efficient distribution of broadband interactive services.

Practical work with measuring instruments for the characterization of access networks at the physical level and IP level.

Acquisition of basic knowledge of access technologies for distribution of broadband interactive services. Getting familiar with possible types and architectures of broadband access networks and standards and recommendations.

Course outline

General model of access network. Review of transmission media characteristics. Standards and recommendations. Broadband access technology over telecommunication cables with symmetric pairs. Symmetric and asymmetric xDSL access technologies (HDSL, SHDSL, ADSL2+, VDSL). Devices for broadband access (splitters, IP-DSLAM, xDSL modems). Fiber in the loop (FITL). Topologies of optical access networks. Passive and active optical networks in the local loop (BPON, GPON, EPON, AON). DWDM systems. Combined technologies in access networks. Modernization of cable distribution system by using hybrid networks with optical and coaxial cables (HFC network). Bi-directional signal transmission and services (cable TV, internet, video on demand, voice transmission). Cable modem terminal system (CMTS). Cable modems. Broadband access over power lines. PLC access network via low-voltage power lines (basic elements: PLC base station modem, repeater, gateway). In-home PLC networks. Wireless local loop. Fixed and mobile wireless access. Broadband wireless access technologies (WLAN, UWB, Wi-Max). Multiservice access node (MSAN).


Lectures, practical work, consultations, project.

Textbooks/referencesNebojša S. Dončov, Broadband access networks, scriptbook, 2010.


Chinlon Lin, Broadband Optical Access Networks and Fiber-to-the-Home, John Wiley and Sons Ltd, 2006.

Halid Hrasnica, Abdelfatteh Haidine, Ralf Lehnert, Broadband Powerline Communications - Network Design, John Wiley and Sons Ltd, 2004. 6. Martin Clark, Wireless Access Networks: Fixed Wireless Access and WLL Networks – Design and Operations, John Wiley and Sons Ltd, 2000.

Philip Golden, Herve Dedieu, Krista Jacobsen, Fundamentals of DSL technology, Auerbach Publications, Taylor & Francis Group, 2006.

Милан Јанковић, Зоран Петровић, Широкопојасне дигиталне мреже интегрисаних дигиталних сервиса – мреже за приступ, 2. издање, Академска мисао, 2003.


Dončov S. NebojšaLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Dončov S. Nebojša

ElectronicsMScBroadband Access Networks





12345




written exam 35oral exam 35

30


Number of ECTS

Knowledge of diagnostic and therapeutic methods in medicine, which are based on some kind of radiation, as well as the devices used for this purpose

Practical work is carried out by calculation exercises. The solving of the concrete problems will help students to successfully overcome the areas that are addressed through theoretical lessons.

Introduction to the application of ionizing and non-ionizing radiation in medicine, as well as the principle of the device in medical diagnostics and therapy

Course outline

Medical Diagnostics. Preparation and properties of x-rays and their application in medicine. Radiography and fluoroscopy, mammography, x-ray heart, CT scan. Preparation and properties of ultrasound, and its medical applications. The principle of magnetic resonance imaging, and applications in medical diagnostics. The use of radioisotopes in medical diagnosis and radiotherapy. PET diagnosis. The application of lasers in medicine. Application of radiofrequency and optical radiation in medical diagnosis and therapy. Devices for radiotherapy.


Lectures, calculation exercises, and consultations

Textbooks/referencesG. Ristić, Medical physics (script), Faculty of Electronic Engineering, Niš



Ristić S. GoranLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Živanović N. Emilija

Electronic Devices and MicrosystemsMScMedical Physics





1

2

345





Electronic Devices and MicrosystemsMScMicrosensors and Microsystems


Janković D. NebojšaLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Vračar M. Ljubomir


Auditorial teaching, Laboratory exercise, student tutorials

Textbooks/referencesGardner J., Varadan V., Awadelkarim O. "Microsensors, MEMS and smart devices: technology, applications & devices ", Wiley, UK (2001)


N.Janković "Praktikum iz predmeta Senzori i pretvarači", Elektronski fakultet Niš (1995)The usage of Internet

M.Popović "Senzori i merenja", Visa elektrotehnička škola, Beograd (2000)

Fraden J., Handbook of modern sensors: Physics, designs and applications,Springer-Verlag, (2004)


Vračar M. Ljubomir


Number of ECTS

Students became capable of understanding the microsytem principals and independently be able to connect sensors with microcontrollers forming a basic microsystem.

Practical teaching refers to student training for independent programming the microcontrollers. Students will be assigned with final project including the independently design of basic microsystem and verification of its proper operation.

Acquiring the knowledge needed to understand the application of modern sensors in measuring and controlling systems.

Course outline

Introduction to microsensors technologies. Integrated microsensors: thermal, optical, magnetic, velocity and accelerometer sensors, chemical sensors, biosensors. Microsystems design and operation. Microsensors and microcontrollers. Interface circuits. Analog to digital conversion. Data processing in time domain. Microcontroller programming. Standards and protocols.


Course objectives

Course outcomes



1

2

34

5





20

Electronic Devices and MicrosystemsMScTechnologies of Organic Semiconductor Materials and Devices


Stefanović Č. DimitrijeLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Stefanović Č. Dimitrije


Lectures, consultations, exercises, exercises on the computer, the project


Pope and Swenburg, Electronic Processes in organic crystals and polymers, 2 nd Ed., Oxford


Драган Пантић, Татјана Пешић, Елва Јовановић, Моделирање и симулација у микроелектроници, Електронски факултет у Нишу, 2005.

PowerPoint presentations, materials for computational exercises and exercises on the computer

H.S. Nalwa, Ed., Organic electroluminescent materials and devices, Amsterdam.

Skotheim, Elsenbaumer, and Reynolds, Handbook of conducting polymers, Eds, 2 nd Ed., Rev.



Number of ECTS

The student becomes familiar with the properties and technologies of organic semiconductor materials. Also, acquires knowledge about the components that are based on organic semiconductors, and is capable of independently using commercial Silvaco software tools for simulation of technological process and the electrical characteristics of the components.

As part of a planned seminar and defend an independent project in the final exam, as well as the planned exercises that are performed on a computer, the student shall be met with organic semiconductors and components, as well as electronic circuits and systems that are based on organic components.

The basic knowledge of organic semiconductors, components and technologies that are based on these materials .

Course outline

Introduction. Organic semiconductors. Transport carriers in the crystal, polycrystalline and amorphous organic semiconductors. Luminescence in organic materials, films and crystals. Spontaneous and stimulated emission. Energy transfer and excitation. Photo conduction, photo-induced charge transfer. Photovoltaic components, solar cells and photodiodes. Organic LEDs, the basic structure and charge injection. Organic LED displays, active and passive matrix displays. Organic transistors. Circuits and systems based on organic components. Photo excitation organic lasers.


Course objectives

Course outcomes



12

34

5





Electronic Devices and MicrosystemsMScIntegrated Microsystems


Prijić P. AnetaLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Prijić P. Aneta


Theoretical teaching - using slides; Demonstration teaching - presenting PSoC projects; Exercises - using Development Kits.

Textbooks/referencesLeactures handouts


"CY8CKIT-003 PSoC3 FirstTouch Starter Kit Guide", Cypress Semiconductor Corporation, 2009-2012.

"CY8CKIT-001, PSoC Development Kit Guide", Cypress Semiconductor Corporation, 2012.

R. Ashby, "My First Five PSoC3 Designs", Cypress Semiconductor Corporation, 2010-2012.

W. Weidinger, "System Investigation of Programmable Systems on Chip (PSoC)", VDM Verlag Dr. Mueller e.K., 2008.


Prijić P. Aneta


Number of ECTS

The knowledge of the structure, operation principles and configurability options of integrated microsystems based on the Programmable System-on-Chip (PSoC). Ability to realize versatile applications with the PSoC.

Laboratory exercises using PSoC Development Kits in the form of projects: utilizing acceleration, temperature, capacitive touch and proximity sensors; input, output and timing control; communication link with a computer; capacitive slider and button sensing; digital logic implementation; basic precision analog functions.

The study of the structure and functioning of integrated microsystems based on the Programmable System-on-Chip (PSoC). Introduction to the configurability concept and implementation possibilities of a PSoC.

Course outline

Introduction. Features of the Programmable System-on-Chip architecture. Central subsystem. PSoC3 chip with 8-bit 8051 CPU. PSoC5 chip with 32-bit ARM CPU. Analog subsystem. Digital subsystem. System wide resources. Interface subsystem. Special purposes modules (SC/CT, LCD and CapSense drivers). PSoC prebuilt components. Software development environment. Best practices in PSoC application development. PSoC development kits.


Course objectives

Course outcomes



1

2345


2 2Teaching methods



Stojanović V. Nikola


Number of ECTS

Students are able to independently create logos and other visual elements for the diverse needs in web design, television, movies, billboards, advertisements, but only as part of the overall design with a specific message to the visual communication and better visual experience. Independently designing a logo placement in a specific format, with complete follow-up design, set design, lighting, graphics on television, and with all the visual elements on the web and other formats.

Practical instruction will be executed consistently throughout the semester, students will create logos, typography and visual design to complete a given topic. Designing the entire total design for a company, firm, with the logo, to complete the first website and logo. Design on TV clips and jingles, design in large and small formats.

Introduce students to the visual arts, as it accrues, which are the basics and an introduction to aesthetics. What is the trash, and what are the real visual values, a sense of beauty. Introduce students with the basics of logos, typography, photography, complete visual identity and its creation. Design to photography, film and television, print, and web. The use of colors, lines, shapes and letters. Total design and visual communications.

Course outline

Basic concepts of fine art, lighting, composition. Form and content design, achieving a specific aesthetic effect. How to use elements: contrast, perspective, dimensionality, movement, repetition, unity, symbols and colors. The meaning and psychology of colors, shapes, and their use. Typography as a design element. Association, branding, visual identity. The design of the web design in television and film, graphic design. Animation elements of visual design in television and video. Tools: Adobe.


Lectures, laboratory exercises.

Textbooks/referencesAlan Hashimoto and Mike Clayton, Visual Design Fundamentals: A Digital Approach, Course Technology, 2009.



Stojanović V. NikolaLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


ElectronicsMScVisual design






12

3

45


2 2Teaching methods





Number of ECTS

To enable students to understand and implement alone the basic operations of digital video processing in MATLAB.

Exercises on the computer in the MATLAB. The practical implementation of algorithms for digital video processing presented in lectures.

Present the basic algorithms for digital video processing: video enhacement, sharpening, filtering, segmentation, object detection etc.. Using of mathematical algorithms for operation in digital video processing. Software implementation of presented algorithms in Matlab.

Course outlineRemoving noise in the video signal. Superresolution - improving the resolution of video. Stabilization of video sequences. Creating of panorama images based on video. Automatic detection and tracking of moving objects. Detection and extraction of key frames. Content based video browsing. Video watermarking.


Lectures, laboratory practice.

Textbooks/referencesOge Marques, Practical image and video processing using Matlab, Wiley, 2011.


Rafael C. Gonzalez, Richard E. Woods, Digital Image Processing, 3rd edition, Prentice-Hall, 2008.

Y. Wang, J. Ostermann, Y. Zhang, Video Processing and Communications, Prentice Hall, 2002.


Nikolić V. SašaLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


ElectronicsMScDigital video processing



Course objectives

Course outcomes



1

2

345





50

ElectronicsMScTime frequency analysis


Pavlović D. Vlastimir, Milić N. DejanLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Stančić Z. Goran


Lectures, auditory exercises, laboratory exercises consultation

Textbooks/referencesLj. Stanković, M. Daković, T. Thayaparan, Time-Frequency Signal Analysis With Applications, Artech House, 2013.


LJ. Stanković, S. Stanković, I. Djurović, M. Daković, Time-frequency signal analysis, Research monograph, Faculty of Electrical Engineering, Podgorica, 2011.


Stančić Z. Goran


Number of ECTS

Students are expected to learn the theoretical basis of the space-time-frequency signal processing for solving specific practical problems, such as radar signals, the signals collected by sensors network, signals recieved by array of antenna from different paths, in mobile systems and MIMO systems .

Examples of time frequency analysis applied in Matlab.

Introduction to the principles, theories and algorithms for time-frequency and spatial-frequency signal analysis. Introduction to different signal processing techniques as well as multilateral signal parameter estimation.

Course outline

Introduction to array theory. Mathematical signal models on sensor array. Techniques for signal source localization. Closed space source localization. Spatial frequency canal models. Principles of united spatial-time spectrum sensing. Principles of electromagnetic spectrum monitoring. Examples of analysis in communication systems, optical systems for data transmission, analysis of radar and biomedical signals. Fourier analysis, linear time-frequency analysis, square time-frequency analysis, high order time-frequency analysis, analysis of nonstationary signals and noise. Wigner distribution.




1

23

45


2 1 2

Teaching methods



Nikolić S. Goran


Number of ECTS

Theoretical and practical knowledge of the concepts, the internal design and implementation of modern embedded operating systems.

Working with files on the command line, command interpreter (shell). Copy, move and delete files. Working with directories. Working with text files. Shell Programming. Fundamentals of shell programming. Construction of shell programming. Network environment. Introduction to TCP / IP network as the Linux server. Administration process. Basic techniques of management processes and threads. Synchronization process. Synchronization of threads. Boot (boot). Linux kernel configuration system. Working with modules. Translating kernel.

Acquiring of the knowledge of the basic concepts and principles of modern operating systems, as well as their structure, functions and components.

Course outline

History of Embedded Linux, Embedded Linux distributions. Architecture of embedded Linux, Linux kernel architecture, User space, Start-up sequence, Boot loader interface, Memory map, Interrupt management. Timers, Uart, Power managemint. Embedded storage: Flash map, Memory Technology Device. File systems: Ramdisk, JFFS, NFS, PROC file system. Optimizing storage space. Tuning kernel memory. Embedded drivers: Serial driver, ethernet driver, I2C, USB. Porting applications: Programming with pthreads, Operating system porting layer, Kernel API driver. Real-Time Linux: Interrupt latency, scheduler latency and duration, user-space real-time. Proces scheduling, memory locking, POSIX shared memory, message queues, semaphores, signals, clock and timer, acynchronous I/O. Building and Debuging: building the kernel, building applications, root file system. IDE: Eclipse, Kdevelop, TimeStorm, CodeWarrior. Design exaple: Development of vehicle board computer using microcomputer and embedded Linux.


Auditory teaching using computers and projectors. Basic examples of simulation systems. Practically showing implemented embedded systems operating in real time. Lectures, exercises, labs, homework, colloquia, seminars and consultations.



Andrew S. Tanenbaum ,Modern Operating Systems, 3/E, ISBN-13: 9780136006633.Christopher Hallinan, "Embedded Linux Primer: A Practical Real-World Approach (2nd Edition)", Prentice Hall, 2010, ISBN-13: 978-0-137-01783-6.

Stalling William, "Operating Systems 6th Edition, Pearson Education, ISBN 978-81-317-2528-3.



Petrović D. Branislav, Stojčev K. MileLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Nikolić S. Goran

ElectronicsMScReal Time Operating Systems



Course objectives

Course outcomes



1

2

345


Teaching methods



Stojčev K. Mile


Number of ECTS

After successful completion of this course, students are expected to be able to: а) understand the generic design, analysis, and implementation of distributed embedded systems, b) develop realistic wireless sensor network applications under operating system such as TinyOS.

Several laboratory exercises and mini-projects will be assigned with focus on wireless sensor network programming, sensory data collection, data delivery and communication, and interfacings between the user and the deployed wireless sensor network.

The goal of the course is for the student to gain understanding and knowledge of communication and networks in embedded systems, particularly essential concepts and methods used in wireless sensor networks and radio-frequency identification (RFID) systems;

Course outline

Wireless sensor networks: application areas and examples, common characteristics, and challenges; sensor node architecture: sensing, processing, communication and power supply subsystems; network architecture: classification, optimization goals, and design principles; communication protocols: physical layer: wireless channel and transceiver design considerations; medium access protocols: contention-based, schedule-based and multi-channel protocols, 802.15.4 and ZigBee; routing protocols: flooding and gossiping, data-centric, proactive, on-demand, and location-based routing; time synchronization protocols; localization: rage-free and rage-based localization; sensor network programming: operating systems (TinyOS) and languages (nesC). Radio frequency identification (RFID): classification, standards, and regulative; physical and link layer specifications (coupling, frequencies, encoding, modulation, and anti-collision protocols), application areas.


Lectures, exercises, laboratory exercises, homework, seminar work, consultations


H. Karl and A. Willig, Protocols and Architectures for Wireless Sensor Networks, Wiley, 2007.


Additional course materials, such as lecture notes and tutorial documents, will be available on the faculty website.


Đorđević Lj. Goran, Stojčev K. MileLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Jovanović D. Milica, Stojčev K. Mile

ElectronicsMScDistributed Embedded Systems





1

234

5


2 2Teaching methods




Number of ECTS

Gaining competence in designing of reliable electronic devices using hardware and software tools.

Working with tools and equipment for designing in the laboratory. Project development. The knowledge gained in lectures students deepen through practicing design techniques as well as the use of tools for electronic device evaluation. Students also apply acquired knowledge through the independent projects (development of the electronic device) by using 32-bit microcontroller - MBED development prototyp board.

Adoption and systematization of knowledge related to the design of secure electronic devices.

Course outline

Principles of systematic design of modern computer-based devices. Methodology for hardware/software codesign. Object-oriented approach in designing microcomputer systems. Development tools and designing equipment. Operating systems for electronic devices. Programmability of electronic devices. Designing reliable electronic devices. Designing failure detection and fault tolerant systems. Redundancy in hardware, software, data and time. Techniques for failure testing and diagnostics. Built-in on-line selftesting. Designing devices for work in hazardous conditions - self-secured devices. Particularities of designing highly reliable real-time systems with rigid restrictions. Electromagnetic compatibility of electronic devices.


Lectures with the use of projector, Auditive exercises, Laboratory exercises on the copmuters and MBED development board, Consultations, Individual projects

Textbooks/referencesМ. Јевтић, Пројектовање поузданих микрорачунарских система , Монографија, Електронски факултет у Нишу, 2004.


V. Litovski, M. Damnjanovic, M. Jevtic, D. Milovanovic, P. Petkovic и други, Praktikum laboratorijskih vežbanja iz projektovanja i testiranja elektronskih kola i sistema , Elektronski fakultet u Nišu, 2000.

www.mbed.org

Q. Li, C. Yao, Real-Time Concepts for Embedded Systems , CMP Books, 2003.М. Јевтић, Скрипта и ppt презентација предавања.


Jevtić S. MilunLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Jovanović B. Bojan

ElectronicsMScDesign of Electronic Equipment



Course outcomes



12

345




10 written examoral exam 30

60

ElectronicsMScSimulation and optimization of electronic circuits


Petković M. PredragLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Milić Lj. Miljana


Lectures using the video beam, Auditory exercises, laboratory exercises on a computer, consultations, individual projects

Textbooks/referencesV. Litovski, Projektovanje elektronskih kola, Nova Jugoslavija, Vranje, 2000


http://leda.elfak.ni.ac.rs/education/

P. Petković, et.al., Praktikum laboratorijskih vežbi iz predmeta Projektovanje elektronskih kola i Projektovanje digitalnih integrisanih kola, Elektronski fakultet, Niš, Februar 2010,


Milić Lj. Miljana


Number of ECTS

Acquisition the competencies for analysis and optimization of analog circuits to the extent that qualify students to develop their own programs for the simulation of analog, digital and mixed-signal circuits.

Algorithms for the analysis of linear and nonlinear circuits in different domains. Algorithms for the simulation of digital circuits. Optimization of electronic circuits without using a computer program. Within this course students have laboratory exercises based on the use of Spice simulator and optimizer from OrCAD package.

Adoption and systematization of knowledge about algorithms for analysis and optimization of analog circuits, and simulation of digital and mixed-signal circuits.

Course outline

Simulation of analog circuits: Domains of abstraction: DC, AC, time-domain. Algorithms for the simulation. Simulation of linear resistive circuits Simulation of nonlinear resistive circuit. Simulation of reactive linear circuits. Simulation of nonlinear reactive circuits. Characteristics of simulations in different domains. Basic models of passive and active components of electronic circuits. Simulation of digital circuits (the principles of path selection and succeeding event). Discrete event simulation. Simulation of mixed-signal circuits. Methods for estimating power and delay. Optimization of electronic circuits. The importance of weight functions. Algorithms for optimization. Simulated annealing. Evolutionary algorithms. Constrained optimization. Deterministic and statistical tolerance analysis.


Course outcomes



1

2

345





ElectronicsMScSystem on Chip


Damnjanović S. MilunkaLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Mirković D. Dejan


Lectures, Auditive exercises, Practice exercises, Consultations, Individual and group projects

Textbooks/referencesDokic B., "Integrisana Kola", ЕТФ Бања Лука, 1999.


MentorGraphics ASIC Design Suite and Asic Design Kit documentationhttp://leda.elfak.ni.ac.rs/education/

Wolf, W., “Modern VLSI Design: System-on-Chip Design”, Prentice Hall, N.Y., USA, 2006

Baker, R.J., "CMOS Mixed-Signal Design", IEEE Wiley-Press, ISBN 978-0-470-29026-2, 2009.


Mirković D. Dejan


Number of ECTS

Getting competence in design of specific integrated circuits which contains all elements of one system including appropriate aspects for such complex systems. It is expected for students to learn procedures for designing SoC, and familiarize with associated, specific, problems and methods for manufacturing SoC systems.

Knowledge adopted from theoretical lectures is further improved through skills obtained working in one of the industry CAD/EDA standards, Mentor Graphics ASIC Design Suite, in UNIX/LINUX environment.

The aim is to provide students with knowledge about: problems in System on Chip (SoC) design, SoC architectures and SoC design methods.

Course outlineDesign compromises (area, power consumption, speed) from architecture, bus width, noise margin selection point of view. Interconnection models with concentrated and distributed parameters. Signal reflection, delay and loss at signal interconnections. Coupling blocks with different power supply voltage levels. Chip power density distribution. Chip power management. Management of blocks in Idle/standby state. Usage of IP blocks. Macro-cells. Design for testability (DFT). Design for manufacturability (DFM). Guarding rings.





1

2345





Stojčev K. Mile


Number of ECTS

The knowledge that enables the design and implementation of algorithms for digital signal processing. The practical application of DSC.

Getting Started with Development Tools. Programs for processing audio signals, bennčmark programs, loaders, codec routines, DTMF routines, encoders, work with the data in the floating point FFT algorithms, working with matrices, sorting, speech synthesis.

The goal of this course is to enable students to master the theoretical and practical knowledge required for the implementation of the basic algorithms used in the domain of digital signal processing using Digital Signal Controllers

Course outlineThe definition digital signal controllers - DSC. Characteristics and differences compared to conventional microprocessor. The basic architecture of DSC Texas Instruments C2000 family. Core (Data ALU, address generator, the control program, the logic for the patch program generator PLL, JTAG, peripherals). Memory mapping, development tools. The main types of operations, macro commands and routines. Connection to the C programming language. Presentation format numbers. Arithmetic operations, addressing modes. Structure for the implementation of digital filters. Implementation of FFT algorithm. DSC with moving Zare, IEEE-754th Application of DSC in digital audio signal processing.


Auditory instruction using computers and projectors. Lectures, exercises, labs, homework, colloquia, seminars, consultations



Documentations Texas Instruments C2000 Microcontrollers Development KitPowerPoint presentations for all lectures, http://es.elfak.ni.ac.rs


Petrović D. Branislav, Stojčev K. MileLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Nikolić S. Goran, Stojčev K. Mile

ElectronicsMScDigital Signal Controllers



Course objectives

Course outcomes



1

23

45


2 1Teaching methods


5 written exam 3035 oral exam

30

ElectronicsMScElectromagnetic Compatibility


Dončov S. NebojšaLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Dončov S. Nebojša


Lectures, auditory exercises, laboratory work, numerical simulations on computer, consultations, project.

Textbooks/referencesChristos Christopoulos, Principles and Techniques of Electromagnetic Compatibility, Second Edition, CRC Press, 2007.


Antonije. Đorđević, Dragan Olćan, Electromagnetic Compatibility Testing, Academic Mind, Belgrade, 2012.

Clayton R. Paul, Introduction to Electromagnetic Compatibility, John Wiley & Sons, 2006.



Number of ECTS

Understanding the principles and techniques of electromagnetic compatibility. Ability to solve EMC problems by using electromagnetic simulations on computer and to perform EMC measurements. Ability to design circuits and devices that meet EMC standards.

Auditory exercises. Practical work with software tools for EMC problem solving. EMC measurements in laboratory.

Introduce students to the basic terms and concepts of electromagnetic compatibility (EMC), practical EMC problems and techniques and procedures to solve them. Acquisition of basic knowledge of the methods for designing circuits and devices that ensure the fulfillment of EMC standards.

Course outline

Introduction to electromagnetic compatibility. Sources of electromagnetic interference. Penetration through shields and apertures. Shielding theory. Aperture theory. Propagation, conductive penetrations and general multipath coupling. Electromagnetic susceptibility. Signal integrity. Electromagnetic interference control techniques. Basic principles of EMC design. Review of numerical simulation techniques for solving EMC problems on computer. EMC standards. EMC measurement methods.




1

2

345





40

ElectronicsMScProbability and Statistics


Milošević M. Dušan, Petković S. MiodragLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Milošević M. Dušan, Petković S. Miodrag


Lectures, exercises auditive, computer exercises, consultation

Textbooks/referencesM. S. Petković, G. V. Milovanović: Mathematics for students of technical faculties Part V, University of Nis, Faculty of Electronic Engineering in Niš, 2000. (in serbian)


PDF presentation

M. Merkle: Probability and statistics for engineers and engineering students, Academic Thought, Belgrade 2006. (in serbian)


Milošević M. Dušan


Number of ECTS

Theoretical and basic knowledge in the probability theory and statistics .

Working in software package SPSS.

Mastering basic knowledge of probability and statistics.

Course outline

Definitions of probability. Random variables. Discrete and continuous random variables. Function, the law of probability and probability density. Multivariate random variables. Conditional distributions and independence of random variables. Numerical characteristics of random variables. Mathematical expectation, moments, dispersion, standard deviation. Chebyshev inequality and the rule of "three sigma". Characteristic function. Properties of characteristic functions. Distribution of random variables. Central limit theorem. Basic concepts of statistics. Population, random sample. The Central Statistics Theorem. Distributions important in statistics. Chi-square distribution, Student's (t) distribution, Fisher's (F) distributions. Estimate of parameters. Dotted ratings. Efficiency ratings. Confidence intervals. Hypothesis testing. Tests of significance. Parametric tests. Nonparametric tests.




1

23

45


2 2Teaching methods



ElectronicsMScElectronic Control Circuits for Converters


Radmanović Đ. Milan, Mančić D. DraganLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)





Textbooks/referencesM.Radmanović, D.Mančić, Upravljanje elektroenergetskim pretvaračima, Faculty of Electronic Engineering, Niš, in print, 2013.


N.Mohan, T.M.Undeland, W.P.Robbins, Power electronics: Converters, Applications, and Design, John Wiley & Sons., New York, 2003.

PowerPoint presentation.



Number of ECTS

Theoretical knowledge on the control of power converters. Mastering the techniques of development, realisation and application of the various control methods for power converters.

Drivers. Control of rectifiers. Control of choppers. Control of inverters. Control of a system for speed regulation of an asynchronous motor.

Acquiring the fundamental knowledge about the control principles for power converters, methods of their realisation and practical application.

Course outlineDriver circuits for power electronic components (thyristor, bipolar transistor, MOSFET, IGBT, GTO). Control circuits with phase control. Control circuits for AC voltage controllers. Control circuits for rectifiers. Control circuits for choppers. Control circuits for inverters. Control circuits for cycloconverters. Professional systems in power electronics. Electromagnetic compatibility of power electronic devices.


Course objectives

Course outcomes



12

345


2 1Teaching methods



4015


Number of ECTS

Capability of basic problems defining related to transmission of measurement signals and to realisation of modern measurement systems for remote measurement. Designing of simple telemetry systems examples and estimation fulfillment of standards. Capability of working with modern measurement systems for distant measurement.

The course has the goal to introduce students with basic transmission techniques of measurement signals and with a number of modern measurement systems configurations for remote measurement.

Course outline

Basic terms and definitions; pneumatic telemetry systems; analog telemetry systems, frequency and pulse-width modulation; transmitters; two-wire transmitters, serial and parallel power sources; analysis of concrete two-wire transmitter examples, analogue and digital telemetry systems; delta modulation; digital telemetry systems; FSK (frequency-shift keying) modulation; pulse code modulation (PCM); digital transmitters; digital two-wire transmitters; universal asynchronous receiver-transmitter; computer based telemetry systems; standard interface systems; modems; automotive telemetry systems; fiber-optic telemetry systems; industrial telemetry systems, biotelemetry, virtual instrumentation and Internet in telemetry systems; connection of distant measurement systems, distributed virtual laboratories; telemetry system testing; telemetry standards.


Concrete examples and problems are analysed on exercises.

Textbooks/referencesD. Denić, G. Miljković, "Telemetrija - skripta", na sajtu Elektronskog fakulteta, 2007.


S. Horan, “Introduction to PCM telemetering systems”, CRC Press, 2002.W. Nawrocki, „Measurement systems and sensors“, Artech House, 2005.

Ј.Webster, “The measurement, instrumentation, and sensors handbook”, CRC Press, 1999.

D. Denić, I. Ranđelović, D. Živanović, „Računarski merno-informacioni sistemi u industriji“, Elektronski fakultet u Nišu i WUS Austria, skripta, 2005.


Denić B. Dragan, Perić H. ZoranLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Miljković S. Goran

ElectronicsMScTelemetry



Course objectives

Course outcomes



12

3

45





Nikolić S. Goran


Number of ECTS

Students will acquire basic knowledge of the physiological systems, modern technologies for biomedical signal processing, signal detectors implementation, software and hardware complexity of systems for biomedical signal processing.

Elaboration of standards for digital storage of biomedical signals. Biomedical image signal filtering. Recovery and details enhancement of biomedical signals.

This course introduces students to the basic physical principles of biomedical signal processing, signal generating concepts and tools, and methods of usage the obtained results for diagnosis, treatment and surgery.

Course outlineIntroduction to physical systems. Structure and function of the cardiovascular system, endocrine system, nervous system, vision system, hearing system, gastrointestinal system, respiratory system. Introducing the one-dimensional and multidimensional signals. Digital image signal presentation, quality evaluation, basic operation and signal detectors in: 1) radiograph, 2) X-ray computer tomography, 3) magnetic resonance, 4) nuclear medicine, 5) ultrasonic signals processing. Medical image analysis, image reconstruction, image fusion, image details enhancement, restoring image. Visualization for diagnosis and therapy. The complexity of hardware and software resources for biomedical signal processing.



Textbooks/referencesPaul Suetens, Fundamentals of Medical Imaging, Cambridge University Press, 2009.


Jirí Jan, Medical image processing, reconstruction and restoration : concepts and methods, Taylor & Francis Group, LLC, 2006.

Karen M. Mudry, Robert Plonsey, Joseph Bronzino, eds., Biomedical imaging, CRC Press, Boca Raton, FL, 2010.


Stojčev K. MileLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Stojčev K. Mile

ElectronicsMScBiomedical signal processing



Course objectives

Course outcomes



12345


14

Teaching methods


written examoral exam 50

50

CommonMScStudy and Research Work

Study programModuleType and level of studiesThe name of the courseLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)



A professor/mentor of a master's work compiles and submits the task to a student. The student is required to make a project work for the given topic which is defined by the task, using suggested literature. During this work, the professor can give the student additional instructions, in order to improve the quality of the work.





Number of ECTS

Training students to independently apply previously acquired knowledge in different areas that were studied, in order to review the structure of the given problem and its system analysis. Practical application of the knowledge acquired.

Experiments may be released within the laboratories at the University.

Application of basic theoretical-methodological, scientific-technical and professional knowledge and methods to solve practical problems. The student studies the problem, its structure and complexity, and makes conclusions on possible ways of solving it.

Course outlineThe student studies textbooks, professional papers and application notes, makes analyses in order to find solutions for the specific task or carries out certain experiments in the laboratory. Study work includes organization and conducting of experiments, numerical simulation and statistical analysis of data, and practical realization of the tasks.


Course objectives

Course outcomes



12345

Lectures Exercises OFE Study and research work Other classes45

Teaching methods


written exam70 oral exam 30


Number of ECTS

Improving student's responsibility, professional approach, and communication skills in a team. Using the experience of experts from the company to extend the practical knowledge and motivation of students. Gaining a clear insight into the possibility of applying the acquired knowledge and skills covered by the study program in practice.

Content of professional practice is in full compliance with the goals of practice. Students describe their involvement in projects and provide a critical review on their own experience, knowledge and skills they have gained in practice.

Getting acquainted with the organization of the company. Getting to know the team and the project in which the students are involved. Understanding the business processes, participate in the design of products, documentation and quality control, in accordance with the company's possibilities.

Course outline


Student selects the company from private or public sector for practice. Professional practice can be also carried out abroad. Upon completion of practice, on the basis on reports and certificates signed by the authorized person from the company, the student will be awarded by 3 ECTS points.




Professional practice does not have numerical grade. Grading is descriptive (pass/fail)

Mančić D. Dragan, Prijić D. ZoranLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


CommonMScProfessional Practice



Course objectives

Course outcomes



12345


Teaching methods


written exam 70oral exam 30

CommonMScMaster Thesis

Study programModuleType and level of studiesThe name of the courseLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)



With the help of mentors from the rank of professors, student tries to solve the task and prepare the written form of the thesis, as well as oral presentation.





Number of ECTS

Application of engineering and design skills and knowledge to solve the problem for the given complexity, cost, reliability and efficiency of solutions. Ability to write the thesis in a given form. Ability to give the clear and technicaly sounded explanation of the completed project.

Experiments for the work may be released within the laboratories at the University.

The student has an opportunity to demonstrate the ability to individually solve relatively complex tasks that can have practical, research or theoretical-methodological character. The student also enhances experience in the written and oral form of presentation.

Course outline

Master Thesis presents independent research, practical or theoretical-methodological work of the student. Thus, the student adopts the research methodology and design procedure necessary to realize the thesis. Through that work the student applies theoretical and practical knowledge acquired during his studies. Thesis in the written form contains an introductory chapter, the definition of the problem, survey of the existing solutions, the proposed solution and his own description, conclusion and references. Oral presentation is organized in front of the three-member commission, one of whom being the mentor. The procedure of application, appointment of the commission and the presentation procedure is regulated by appropraite Rules from the University.

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