Specification for the book of courses - University of Niš · PDF file6 Course status (obligatory/elective) obligatory Prerequisites Course objectives Course outcomes Theoretical teaching

6 Course status (obligatory/elective) obligatoryPrerequisitesCourse objectives

Course outcomes

Theoretical teaching

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

12

3

45

Lectures Exercises OFE Study and research work Other classes

2 2Teaching methods

points Final exam points

20 written exam 25oral exam 25

30

Pre-exam dutiesGrade (maximum number of points 100)

Number of ECTS

Candidates will be trained to apply the acquired theoretical knowledge in solving linear electric circuits in the time and frequency domain, and to follow other specialized courses. Also, they will master commonly used software for electric circuits analysis.

Basic elements of one- and two-port electric circuits. Graph theory. Transient analysis of electric circuits applying classical approach. Non-harmonic steady state. Circuit analysis using Laplace and Z-transforms. Analysis and synthesis of two-port circuits. Computer aided circuit analysis.

The acquisition of basic theoretical knowledge in the analysis of electric circuits and mastering software for their solving.

Course outline

Basic elements of one- and two-port electric circuits. Graph theory. Transient analysis of electric circuits applying classical approach. Non-harmonic steady state. Circuit analysis using Laplace and Z-transforms. Analysis and synthesis of two-port circuits. Computer aided circuit analysis.

Specification for the book of courses

Lectures, exercises, practical work on computers, homework, consultations.

Textbooks/referencesReljin B.: "Electric Circuit Theory I", Akademic Mind, 2003.

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

Power point presentation of lectures for the course.

Gmitrović M., Petković R., Tasić D., Cvetković Z., Mančić Ž., Milosavljević Z., Javor V.: ”Electric Circuit Theory - Collection of Problems”, Faculty of Electronic Engineering in Niš, 1999.

Cvetković Z., Vučković A.: "Collection of Problems in Electric Circuit” , Faculty of Electronic Engineering in Niš, 2013.

Electrical Engineering and Computing

Cvetković Ž. Zlata Lecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)

activity during lecturesexercisescolloquiaprojects

Živaljević U. Dragana, Vučković N. Ana

Control SystemsBScElectrical Circuits

Study programModuleType and level of studiesThe name of the course


Course outcomes



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34

5


3 2 1Teaching methods


10 писмени испит 2010 усмени испит 2040

0

Mirković D. Dejan, Dimitrijević A. Marko, Đorđević D. Srđan, Andrejević-Stošović V. Miona


Number of ECTS

Students will be able to recognize schematics, understand the principle of operation, and to understand the application of basic electronic circuits: amplifiers, oscillators of sinewave signals, rectifiers and voltage regulators.

Basic amplifier stages; Applications of operational amplifiers, Negative feedback, Oscillators, Power amplifiers, Rectifiers, and Voltage regulators

Acquiring basic knowledge of electronics, amplifying techniques, oscillators, rectifiers and voltage regulators.

Course outline

Diodes and diode circuits. Bipolar transistor, operating point and and load line. Model of bipolar transistors. MOSFET transistor,operating point and and load line. Model MOSFET transistors. Basic amplifier stages with bipolar and MOSFET transistor. Multistage amplifiers. Amplifier with direct coupling. Differential and operational amplifier. Application of operational amplifiers. Negative feedback. Oscillators. Large-signal amplifiers. Rectifiers and voltage regulators.


Lectures, Problem solving; Labs; Consultations.

Textbooks/referencesV. Litovski, Osnovi elektronike – teorija, rešeni zadaci i ispitna pitanja, Akademska misao, Beograd, 2006.


A. Sedra, K. Smith, Microelectronic Circuits, Oxford University Press, 2009, ISBN-13: 978-0195323030

Presentation and notes of lectures (pdf), http://leda.elfak.ni.ac.rs/?page=education/elektronika/elektronika.htm

M. Radmanović, Osnovi elektronike, Elektronski fakultet Niš, 2013 (to be printed)

V. Pavlović et.al., Laboratorijski praktikum iz predmeta Osnovi elektronike, Elektronski fakultet Niš, 2012.


Petković M. Predrag, Pavlović D. Vlastimir, Milovanović P. Dragiša, Radmanović Đ. MilanLecturer (for lectures)

Lecturer/associate (for exercises)

Lecturer/associate (for OFE)


Mirković D. Dejan, Dimitrijević A. Marko, Đorđević D. Srđan, Andrejević-Stošović V. Miona

Control SystemsBScBasics of Electronics



Course outcomes



12

345


2 1 2

Teaching methods


10 written exam 2010 oral exam 2040

0

Control SystemsBScMetrology of Electrical Quantities


Denić B. DraganLecturer (for lectures)Lecturer/associate (for exercises)

Lecturer/associate (for OFE)


Simić M. Milan, Miljković S. Goran, Dinčić R. Milan


Lectures (theoretical teaching) with graphical presentation of material in the form of slides. Computational exercises with solving of tasks related to measurement of electrical quantities.Practical teaching in the form of laboratory and demonstration exercises.Everyday consultations of students at teachers or associates. Individual work of students in the form of homework tasks.

Textbooks/referencesB. Dimitrijević, “Electrical measurements“, intended textbook, Naucna knjiga, Belgrade.


S. Tumanski, “Principles of Electrical Measurements”, Taylor & Francis Group, 2006. Material for lectures on the faculty website: Lectures MEV.ppt and Lectures MEV.pdf (www.elfak.ni.ac.rs).

P. Pravica, I. Bagarić, “Metrology of Electrical Quantities - General part“, Nauka, Belgrade.

B. Dimitrijević, D. Denić, G. Đorđević, “Electrical measurements - Collection of tasks with Manual for work on laboratory exercises“, Faculty of Electronic Engineering, Niš.


Simić M. Milan, Miljković S. Goran, Dinčić R. Milan, Jocić V. Aleksandar, Lukić R. Jelena


Number of ECTS

Training and capability of students for solving of practical problems from area related to measurement of electrical quantities, on the basis of good knowing of measurement methods and techniques, with proper use of modern instruments and equipment for measurement of electrical quantities. Also, important segment is training of students for lather application of acquired knowledge about measurement techniques in engineering professions from areas of electrical engineering and computer science.

Computational, laboratory and demonstration exercises: training of students for solving of computational tasks from measurement of electrical quantities, also for practical use of measurement methods and measuring instruments, over engagement on laboratory and demonstration exercises. According to the Manual for work on laboratory exercises, students submit appropriate report about each completed laboratory exercise.

Education and introduction of students with basic theoretical and practical knowledge from area of metrology and measurement of electrical quantities.

Course outline

Basics of measurement theory - metrology. Electrical quantities and measurement units. Standards of measurement units ampere, ohm and volt in MKSA system (etalons and norms). Structural schemes of process for measurement of electrical quantities. Methods for measurement of electrical quantities. Processing of measurement results and measuring uncertainty. Metrological characteristics of electrical measuring resources. Analog and digital measuring instruments. Instrument with moving coil. Expansion of measuring range for ammeter, voltmeter and ohmmeter. Measuring converters of electrical quantities. Oscilloscopes.

6 Course status (obligatory/elective) obligatoryPrerequisitesCourse objectivesCourse outcomes



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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 outlineSeries. Numerical series. Positive series. Alternative series. Finctional series. Potential series. Fourier series. Ordinary differential equations. First order differential equations. Differential equations of first and higher order. Systems of ordinary differential equations. Multivariable functions. Limiting values and continuity. Partial derivatives and differentials of first and higher orders. Local extrema. Conditional extrema. Global extrema on closed domain. Integrals. Curvilinear integrals. Double and triple integrals. Complex analysis. Complex variable functions. Cauchy-Riemann conditions. Complex integration. Cauchy basic integral formula for functions and derivatives. Laurent series. Residues and Heaviside method for partial fraction expansion. Laplace transform.


lecturing using blackboard, practical exercises

Textbooks/references Stefanović L., Ranđelović B., Matejić M.,Theory of series for students of technical faculties, Student Cultural Centre, Niš 2006.


Stefanović L., Matejić M., Marinković S., Differential equations for students of technical faculties, Student Cultural Centre, Niš 2006. Stefanović L., Matematics for students of technical faculties –Vector analysis; Integrals: curvilinear, double, triple, surface; Vector field theory, Prosveta Niš, 1997; Petković M., Milovanović G., Matematics for students of technical faculties. Part V, University of Niš, Facultuy of Electronic Engrg., 2000.

Đorđević R., Milovanović G., Differential equations – Ordinary differential equations, University of Niš, Facultuy of Electronic Engrg., 2006.

Kocić Lj.,Multivariable functions, University of Niš, Facultuy of Electronic Engrg., 2008.


Kocić M. Ljubiša, Marjanović M. ZvezdanLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Marjanović M. Zvezdan

Control SystemsBScMathematics 3


Stojković R. SuzanaRajković J. PetarRajković J. Petar, Mihajlović T. Vladan




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345





Control SystemsBScFundamentals of Object-oriented Programming

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


Pre-exam duties


Lectures, auditory exercises, lab. practice

Textbooks/references

M. Stankovic, S. Stojkovic, М. Раdmanovic and I. Petkovic, Object oriented programming lannguages C++ and Java by examples, Faculty of elektronic engeneering Nis, 2005. (in Serbian)


ppt prezentations from lectures

L. Kraus, Programming language C++ by examples, Academic mind, Belgrade, 2007. (in Serbian)


Grade (maximum number of points 100)

Number of ECTS

After completing this course, students should acquire theoretical knowledge about object-oriented programming and to be able to develop applications in C++ prgramming language.

Class definition in programming language C++. Creating objects in static and dynamic memory. The implementation and use of the constructor. Destructors. Operator functions as class members and operator functions as global global functions. Defining derived classes. Virtual and pure virtual functions in C++. Llibrary classes for working with text and binary data streams.

The goal of this course is to introduce students to object-oriented programming technique and to C++ programming language.

Course outlineThe characteristics of object-oriented programming techniques. Classes and objects. Access to class members. Static class members. Constructors and destructors. Operator overloading. Inheritance. Polymorphism. Abstract classes. Input and output data streams. Exception throwing and exception handling. Generic functions and classes. Namespaces.

5 Course status (obligatory/elective) electivePrerequisitesCourse objectivesCourse outcomes



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40

Control SystemsBScMathematical Methods


Kocić M. Ljubiša, Marinković D. SlađanaLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)





Textbooks/referencesG. V. Milovanović: Numerička analiza I, University of Niš, 1979;


G.V. Milovanović, Numerička analiza, III deo, Naučna knjiga, Beograd,1991.G. V. Milovanović: Numerička analiza II, Naučna knjiga, Beograd, 1985;



Number of ECTS


exercises


Course outlineNumerical solution of linear system of algebraic equations. Direct and iterative methods. Eigenvalues of matrices. Nonlinear equations. Systems of nonlinear equations. Interpolation and approximation. Numerical differentiation. Numerical integration. Numerical solution of ODEs. Numerical solution of PDEs.




12345


2 2Teaching methods



40


Number of ECTS


exercises


Course outline

Linear algebra. Survey of matrix calculus. Linear systems and linear dependence. Singular matrix values. Matrix and vector norms. Range and definiteness. SVD decomposition. Differential equations. Systems of differential equations of fist order. Phase space. Homogenous linear systems with constant coefficients. Complex eigenvalues. Non-homogenous linear systems. Nonlinear differential equations and stability. Periodic solutions and limit cycles. Difference equations. Sequences and recurrence relations. Linear difference equation of first order. Nonlinear difference equations. Diophantine equations. Rational functions. Hurwitz and Schur stable rational functions. Diophantine equations of two variables. Bezout equation. Euclidean algorithm. Operator calculus. Laplace transform. Discrete Laplace transform. Fourier transformation. Z-transform. Elements of interval arithmetic.



Textbooks/referencesG. V. Milovanović: Numerička analiza I, University of Niš, 1979;


G.V. Milovanović, Numerička analiza, III deo, Naučna knjiga, Beograd,1991.G. V. Milovanović: Numerička analiza II, Naučna knjiga, Beograd, 1985;


Kocić M. Ljubiša, Marinković D. SlađanaLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)



Control SystemsBScMathematical Introduction to System Theory


6 Course status (obligatory/elective) obligatoryPrerequisites

Course objectives

Course outcomes



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4

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Control SystemsBScDigital Electronics


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


Đošić M. Sandra


Lectures with the use of projector, Auditive exercises, Laboratory exercises, Consultations.

Textbooks/referencesJevtić, M. Damnjanović, M, Digitalna elektronika, skripta i ppt prezentacija predavanja.


Tocci, R. Widmer, N. Moss, G, Digital Systems: Principles and Applications, Prentice Hall, February 10, 2006.Jevtić, M. Jovanović, B, Digitalna elektronika - Laboratorijski praktikum za Altera DE1, Elektronski fak. Niš, 2009.

Đorđević, B. Jevtić, M. Damnjanović, M. ... Digitalna elektronika, zbirka zadataka, Elektronski fakultet, Niš, 2001.

Živković, D. i Popović, M, Impulsna i digitalna elektronika, Akademska misao, 2000.


Jovanović B. Bojan


Number of ECTS

Systematic knowledge of basic digital circuits. Together with the structure and functionality of digital circuits acquired are knowledge about the ways of presenting the function and the behaviour of digital circuits. Consideration of the problems that can occur when using tha basics and designing the complex digital circuits. Such knowledge are essential for understanding microprocessors and microcomputers. They also the basis for a number of courses relating to the analysis design and implementation of complex digital circuits, modules and systems.

Exercises: By solving the tasks students fortify theoretical knowledge. At the same time, students are introduced to the creative application of basic digital circuits. Laboratory exercises: Complete mastery of the functionality of digital circuits by the help of logic simulatior and circuit implementation on the programmable development board ALTERA FPGA DE1 with the Quartus II software development environment and related laboratory equipment.

The main objective of the course is that students firstly explore the general characteristics of digital circuits as well as the basic problems that emerge during its implementation and application. Furthermore, to gain knowledge about the basic structure and functionality of digital circuits that microcontrollers and microcomputers are made of. Finally, to master the ways of functional and behavioral description of digital circuits.

Course outline

Basic logic gates and their characteristics. Circuits with the high impedance control on the output. BUS HOLD circuit. Combinational circuits: encoder, priority coder, decoder, multiplexers, demultiplexers, binary comparators. Sequential circuits: SR and D latches, SR , D , JK , T flip-flops. Registers: stationary, shift, counter. Register application. Static memory - RAM. 2D and 3D memory architecture. Multi-port static memories. Associative memory. Designing a large memory storage. Dynamic memory (basic cell and block structure, operation sequence). Synchronous dynamic memory modules. Semiconductor memories: ROM, EEPROM and FLASH. FLASH memory architecture. Block structure of the USB FLASH drive. NVRAM and RAM with BACK UP battery. FRAM. Programmable circuits: PAL, PLA, PLD, FPGA. Arithmetic circuits. The full adder. Addition/subtraction systems. Carry Look-Ahaed (CLA) units. Accumulator unit. Arithmetic logic unit (ALU). Binary multipliers and dividers. Fundamentals of A/D and D/A conversions.


Course outcomes



1

23




written exam20 oral exam 4040

Vojinović M. Oliver


Number of ECTS

At the end of the course students are expected to have basic knowledge on organization of computer systems and programming model of the processor. Students will be able to make programs in assembly language.

Assembly language programming. Combining assembly and C/C++ code.

Objective is transfer of basic knowledge on computer systems to students.

Course outlineReview of the basic components of computer systems. Organization of a computer system. Processor. Memory subsystem. Busses. Input/output (I/O) subsystem. The structure of the processor and its functions. Register set. Instruction fetch and execution stages. Arithmetic logic unit. Memory model. Interrupt system. Microprocessor programming model. Procedures and parameter passing. Interrupt procedures. Organization of inputs / outputs.


Lectures, auditive excercises, lab practicing


N. Stojanovic, I.Z.Milentijevic:"Praktikum za racunarske sisteme", Elektronski fakultet Nis, 2000.


Noam Nisan, Shimon Schocken, "The Elements of Computing Systems: Building a Modern Computer from First Principles", The MIT Press, 2005.

Mile Stojcev: "RISC, CISC i DSP procesori", Elektronski fakultet Nis, 1997.


Milentijević Z. IvanLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Vojinović M. Oliver

Control SystemsBScOrganization of Computer Systems



Course objectivesCourse outcomes



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2

345





Control SystemsBScModelling and Simulation of Dynamical Systems


Antić S. Dragan, Milojković T. MarkoLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Milojković T. Marko


Lectures; Laboratory Exercises; Computer Exercises; Consultations

Textbooks/referencesD. Antić, B Danković, Modelling and Simulation of Dynamical Systems , Faculty of Electronic Engineering, Niš, 2001. (in Serbian)


D. Antić, B Danković, Practical Handbook on Modelling and Simulation of Dynamical Systems , Faculty of Electronic Engineering, Niš, 2006. (in Serbian)


Danković B. Nikola, Milovanović B. Miroslav, Spasić D. Miodrag


Number of ECTS

At the end of the course students will gain knowledge on the methods for the modeling of different dynamical systems from technique and life and their computer simulation.

Introduction to the Matlab software environment. Introduction to the Simulink. Models in the form of differential equations, state space models, the models given by their input-output equation, transfer function models. Modeling and simulation of mechanical systems. Modeling and simulation of electrical systems. Modeling and simulation of electro-mechanical systems. Modeling and simulation of the systems in automotive industry. Modeling and simulation of thermal systems. Modeling and simulation of hydraulic systems.

Modeling and simulation of dynamical systems are unavoidable in todays life and all areas of technology and modern industry. The goal of this course is gaining knowledge on the modeling of dynamical systems, computer simulation of dynamical systems and modeling and simulation of various dynamical systems from technique and life.

Course outline

Definition of the models of dynamical systems. The classification of the models. Principles of mathematical modeling. Types of mathematical models. Examples of mathematical models. Obtaining mathematical models of mechanical, hydraulic, thermal, chemical and industrial processes. Mathematical modeling of the disturbances. Modeling of industrial systems. Modeling in automotive industry. Graphical modeling. Bond graphs and their applications. Validation and verification of the model. Simulation methods. Designing simulation models. Simulation tools. Mathematical foundation of the digital simulation. Simulation of the systems with distributed parameters. Simulation of the systems with discontinuities. Errors in the simulation and methods for overcoming them. The application of the simulation in the identification, designing and optimization of control systems. Simulation in real time. Simulation of complex systems.




1

2345





Milovanović B. Miroslav, Petković P. Miloš


Number of ECTS

Acquired theoretical and practical knowledge is necessary for learning activities of professional subjects in later years of study.

Solving concrete problems during exercises and labs facilitates students to overcome the methodological units that are processed through theoretical classes.

The purpose of this course is to give the theoretical and practical knowledge related to the linear continuous-time control systems.

Course outline

Definition, importance and examples of linear feedback control systems. Structure and components of linear control systems. Mathematical models, characteristics and responses of components and systems. The importance of feedback. Block diagrams and signal flow graphs in feedback control systems. State-space representation and characteristics of linear control systems. Stability analysis techniques. Characterization of the behavior quality of linear control systems and criteria for synthesis. Classical methods for the linear control systems analysis and synthesis.


Lectures; Exercises; Labs; Consultation.

Textbooks/referencesG. F. Franklin, J. D. Powell, and A. Emami-Naeini, Feedback Control of Dynamic Systems, Prentice-Hall, 2010.


M.R. Stojić, Control Systems , Faculty of Electronic Engineering, Niš, 2004. (in Serbian)R.C. Dorf, and R.H. Bishop, Modern Control Systems, Prentice-Hall, 2004.


Naumović B. Milica, Veselić R. BobanLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Todorović Z. Darko, Milovanović B. Miroslav

Control SystemsBScLinear Control Systems





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2345





Control SystemsBScDigital Control Systems




Todorović Z. Darko



Textbooks/referencesC. L. Phillips, and H. T. Nagle, Digital Control System Analysis and Design, Prentice-Hall, Englewood Cliffs, N.J., 1995.


M.R. Stojić, Digital Control Systems , Akademska misao, 2004. (in Serbian)R.C. Dorf, and R.H. Bishop, Modern Control Systems , Prentice-Hall, 2004.K. Ogata, Discrete-time Control Systems. Prentice-Hall, Englewood Cliffs, N.J., 1995.


Todorović Z. Darko


Number of ECTS

Acquired theoretical and practical knowledge is necessary for learning activities of professional subjects in later years of study.

Solving concrete problems during exercises and labs facilitates students to overcome the methodological units that are processed through theoretical classes.

The purpose of this course is to give the theoretical and practical knowledge related to the linear digital control systems.

Course outlineIntroduction. Discrete-time signal analysis. Sampling and data reconstruction processes. Sampling theorem. Transform methods in discrete-time systems analysis. Discrete-time transfer function. State space representations of discrete-time control systems. Stability analysis techniques. Time response analyses. Steady-state accuracy. Examples.





1

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3

4

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0

BScAutomatic Control Systems


Antić S. Dragan, Mitić B. DarkoLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Nikolić S. Saša


Lectures; Auditory exercises; Computer exercises; Consultations

Textbooks/referencesČ. Milosavljević, Fundamentals of Automatic Control - Part I and Part II , Faculty of Electronic Engineering, Niš, 2003. (in Serbian).


D. Antić, Č. Milosavljević, G. Golo, D. Mitić, P. Vuković, Automatic Control Systems - Exam Exercises , Faculty of Electronic Engineering, Niš, 1995.

Č. Milosavljević, Fundamentals of Automatic Control - Methodical Workbook , Faculty of Electronic Engineering, Niš, 1995. (in Serbian).

M. Stojić, Automatic Control Systems , Faculty of Electronic Engineering, Niš, 2004. (in Serbian).

Control Systems

Spasić D. Miodrag


Number of ECTS

Knowledge of the methods for modeling, simulation, analysis and synthesis of control systems.

Discrete-time transfer functions. Stability of discrete ACS. Z-transformation, inverse Z-transformation. Jury's stability criterion. Nyquist criterion for discrete-time systems. Method of root locus. Design of digital compensators and controllers. Methods for analysis of nonlinear ACS. Stability of nonlinear ACS. The definition of stability. Lyapunov' s indirect and direct method . Examples of non-linear systems. Parameter optimization. Kalman regulator. Design of observer.

Acquiring knowledge of nonlinear, discrete-time, and optimal control systems and their implementation in professional course subjects, as well as in practice.

Course outline

Historical overview of automatic control systems (ACS). Nonlinear control systems. Discrete-time control systems. The structure of digital system and process of discretization. Discrete-time transfer functions. Stability of discrete-time ACS. Synthesis of discrete-time ACS. Examples of non-linear control systems. Typical nonlinearities and their characteristics. Linearization of nonlinear systems. System analysis in the phase plane. Stability of nonlinear ACS. Optimal control systems. Criteria functions. Design of Kalman regulator. Kalman regulator with pre-defined degree of exponential stability. Poles placement of multivariable systems by state feedback. Design of observer. Simulation of ACS. Implementation of simulation in analysis and synthesis of ACS. Simulation software for ACS.

5 Course status (obligatory/elective) electivePrerequisites

Course objectives

Course outcomes



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020

Control SystemsBScMechatronics


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


Petković P. Miloš


Lecture notes and slides (to be posted on the web page of the Faculty). Auditory lectures, calculation and practical exercises and demonstrations.

Textbooks/referencesLecture notes


Clarence W.de Silva, Mechatronics – An Integrated Approach , CRC Press 2205, ISBN-13: 978-0849312748

Sabri Cetinkunt, Mechatronics , Willey, 2007, ISBN-13 978-0-471-47987-1


Petković P. Miloš


Number of ECTS

Knowledge of all characteristic electromechanical components, drives and power transmissions. Simple control system design, as well as proper drive and sensor selection skills.

Practical exercises with motion sensors - encoders, as well as with DC motors and DC motor drives. Spring mass pneumatic system response exercise. Show and tell presentation of ball and plate system with visual feedback.

Introduction to the concept of mechatronics systems. Basics of mechanical and electronics systems, various drives and sensors. Design of simple mechatronics control systems in a compliance with general principles of mechatronics and interface to men.

Course outline

Characteristic examples of mechatronic systems. System response. Signal processing. Electronic and energetic components of mechatronic system. Mechanical systems. Dynamics of motion. Sensors in mechatronics. Electric motors. Pneumatic systems. Structure of microprocessor systems. Interface between PC and electromechanical systems. System control. Feedback concepts. Motion controllers. PLC-s. Mechatronic system design examples. Intelligent systems.





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written examoral exam 50

50

Control SystemsBScSystem Identification


Milojković T. Marko, Jovanović D. ZoranLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Nikolić S. Saša, Danković B. Nikola


Lectures or mentoring depending on the number of students. Students are encouraged to use scientific literature to deepen the knowledge from the lectures. Through research work and consultations with the professor, a student becomes able for writing a scientific paper on his own. A student is required to do a project assignment individually.

Textbooks/referencesL. Ljung, System identification , Prentice Hill, New Jersey, 1997.


B. Danković, D. Antić, Z. Jovanović, Identification of Processes , Faculty of Electronic Engineering, Niš, 1996 (in Serbian).

MATLAB 6.0, System Identification ToolboxP. Albertos, A. Sala, Iterative Identification and Control , Springer, 2002.

Spasić D. Miodrag, Milovanović B. Miroslav


Number of ECTS

Know how to use in practice modern computer systems and software tools for system identification as well as application of identification in adaptive control systems.

Introduction to MATLAB System Identification Toolbox and its application in identification of a real dynamic system. Elaboration of the presented methodical units through project assignments.

Gain knowledge about modern system identification techniques, iterative identification methods and be familiar with a recent computer software tools for system identification.

Course outline

Plants classification. Identification algorithms and their convergence. Active identification. Gradient methods of identification. Single and multidimensional regression models. Nonlinear regression method. Iterative identification methods. Passive identification. Experiment planning. Forming of optimal identification algorithms. Stochastic process identification. Identification of fuzzy systems. Application of neural networks in identification. Methods for assessing the quality of identification.





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Petković M. Ivan


Number of ECTS

After this course students will be able to develop static client content, dynamic client content, dynamically served content, n-tiered applications on the Web.

Fundamentals of HTML and CSS. JavaScript, sintax and basic concepts. Object concepts, DOM (Document Object Model). Server side programming. Basic concepts of PHP programming, data transferring, connection with databases, sessions, data patterns. Development of n-tier applications

The main focus of this course is to instruct students to develop and implement dynamic and interactive web applications. In order to do so, students will learn the basics of an open source programming language both through lectures and hands-on exercises in the lab.

Course outlineWeb as multimedia service on the Internet, HTTP protocol and HTML. Elements of HTML. CSS-Working with styles, Client side programming (Elements of JavaScript language). Interactive Web application, Server side programming (CGI, PHP). N-tiered architectures Web application, Fundamentals of Java technologies for Web programming. Introduction in XML technologies. Web services.


Face to face presentation by use of slide and examples, Practical work in computer laboratory.

Textbooks/referencesJon Duckett, Beginning Web Programming with HTML, XHTML, and CSS, John Wiley & Sons, Aug 6, 2004


Teaching material on the site: http://cs.elfak.ni.ac.rs/nastava/Interactive matherial on the site: http://w3schools.com/

Rasmus Lerdorf, Kevin Tatroe, Bob Kaehms, Ric McGredy, Programming PHP, O Reilly, 2002


Petković M. Ivan, Stanković M. MilenaLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Petković M. Ivan

Control SystemsBScWeb Programming





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Teaching methods



Banković G. Bojan


Number of ECTS

Understanding the basic principles of electromechanical energy conversion. Understanding the basic characteristics and operation of rotating machines and transformers.

Practical work are held in the laboratory. Recognition of certain types of machinery. Basic components and structures. Commissioning of certain types of machines. Commissioning. Mechanical characteristics of electric machines.

Acquiring basic knowledge in the field of electromechanical energy conversion, electrical machines and electrical drives.

Course outlineThe basic laws and principles of electromechanical energy conversion. Magnetic and electric circuit of electrical machines. Power balance of general machines. Equations of motion. Electromagnetic torque. Examples of single and multiple excitation system. The working principle of the basic types machines. Magnetic field of DC and AC machines. Magnetic forces. Windings of electric machines. Electromotive forces. Mechanical characteristics. DC machines. Synchronous machines. Inductions machines. Power transformers.


Classes are conducted through lectures and exercises. Lectures use modern teaching methods. Auditory exercises with numerous example refer students to independently solve problems from engineering practice. Part of the exercise is performed in the laboratory in order to obtain the steady state characteristics of electric machines.

Textbooks/referencesMiloš Petrović “Electromechanical energy conversion”, Naučna knjiga, 1988 (In Serbian)


Radenko Wolf, “Introduction to Electrical Machine Theory”, Školska knjiga Zagreb (In Croation)

D. White, H. Woodson, “Electromechanical Energy Conversion”, John Willey&SonsG. R. Slemon, A. Straughen, “Electric Machines”, Adison-Wesley publishing Company


Mitrović N. NebojšaLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Banković G. Bojan

Control SystemsBScElectrictromechanical Energy Conversion



Course objectives

Course outcomes



12345


2 2 1

Teaching methods



1530

Control SystemsBScRenewable Energy


Pantić S. Dragan, Mančić D. DraganLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Aleksić M. Sanja, Jovanović D. Igor


Teaching methods are lectures and exercises with active student participation through discussion on a given topic, and the analysis of different solutions in the area of renewable energy sources. Independent student work is presented through the development and presentation of seminar.

Textbooks/referencesCourse Website


Miloš Radaković, Renewable Energy and Economy, AGM book, 2010.Ljubomir Mandandzić, Renewable Energy Sources, Graphis, 2011.




Number of ECTS

The course is organized so to combine the theoretical and practical knowledge in that way to designe and use the system for the conversion of renewable resources into electricity or thermal energy, and improve their applicability.

To demonstrate familiarity with the topic and ability to communicate concepts across discipline boundaries, each student in the course is expected to give a short oral presentation on a topic related to his/her own research interest to Renewable Energy.

The adoption of basic knowledge and understanding of the importance of renewable energy. Introduction with the types of renewable energy technologies and other types of conversion of energy into electricity. Studying the characteristics of components and systems, and software tools used to design the system.

Course outlineIntroduction - energy and environment, global supply and use of energy, concept and types of renewable energy sources. Conditions in the global market and examples of implemented plants in Serbia. Wind energy: resources, wind power, wind generators, wind farm. Hydropower: resources, utilization of water power, an assessment of available energy, types of turbines and systems, small hydro (types and structures). Geothermal energy: types of geothermal resources (water, hot rocks, earth), resources, technology and systems of exploitation. Biomass: features, technologies and systems for biomass, dedicated biomass production for energy, the biochemical processes of production (ethanol, biodiesel and biogas). Nuclear Power: The process of obtaining nuclear power, nuclear fuel. New technologies: fuel cells, compressed hydrogen. Energy Storage: hydropower reservoirs, electrochemical energy storage (batteries), the process of electrolysis, stored energy of compressed hydrogen. Solar energy. Solar thermal and photovoltaic energy. Types of solar cells and their basic electrical characteristics. Modeling and simulation of manufacturing processes and the electrical properties of solar cells. Types and components of solar photovoltaic systems. Stand-alone


Course objectives

Course outcomes



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2

3

45





20

Mirković D. Dejan


Number of ECTS

Students should gain knowledge about the functioning and characteristics of RF circuits and systems. The students also need to overcome the process of designing RF circuits. During the design process, usage of specialized software tools are planned.

1. Low-noise amplifier. 1.1. Non-linear models of transistors, the choice of optimal DC operating point, bias circuit. 1.2. S-parameters of the active element. Stability testing. Selection and design of circuits for stabilization. Modified S-parameters 1.3. Bilateral amplifier. Matching circuits for input and output stages. Transduced, available, operating, and maximum power gain amplification. 2. Filters with discrete elements and microstrip lines. 3. PLL synthesizer. 4. Circuit for frequency conversion – frequency mixers.

Introduce students to the basic principles of wireless communications. Studying the architectures of transmitters and receivers, basic building blocks, and high-frequency circuits as constituent of the radio equipments. Acquiring knowledge about procedure of RF circuits design.

Course outline

Principles of wireless communication, architectures of radio transmitters and receivers, resonant circuits, passive and active elements in RF circuits, transmission lines, Smith chart, S parameters, design of low-noise amplifiers, matching circuits, design of RF filters, oscillators and PLL, frequency mixers, RF power amplifiers, amplitude modulation, frequency modulation.


Lectures, exercises, laboratory exercises, consultations.


G. Jovanović, RF electronics, script in electronics format (available on the website of the course)


R. Ludwig, P. Bretchko, RF Circuit Design: Theory and Applications, Prentice Hall, 2000

G. Jovanović, Manuals, textual and video tutorials for laboratory exercises and individual projects (available on the website of the course)

G. Jovanović, M. Ilić, RF electronics – Solution manual, University of Niš, Faculty of Electronics Engineering, 2011


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


Mirković D. Dejan

Control SystemsBScRF Electronics






1

2345





Control SystemsBScMedical Electronics


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


Jovanović D. Borisav


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

Textbooks/referencesM.Damnjanović, B. Jovanovic, medical electronics, the script


B. Mihajlovic, Physical Therapy, OBODSKA letter, 2002D. Radenkovic et. Al. Elektomedicinska instrumenatacija, Electronic Engineering, 2007


Jovanović D. Borisav


Number of ECTS

Gaining knowledge about the application of electrical signals in medicine and competence in the design of electronic circuits applicable to medicine.

Laboratory exercises and project development. The knowledge gained in lectures, students complete during laboratory exercises, and then apply the knowledge implementing the project. Exercises include design ECG amplifier and filters. Projects include practical examples of programming PIC microcontrollers and ANDROID mobile devices in applications that are related to the acquisition, processing and transmission of biomedical signals - the realization of a single-channel ECG monitor using PIC microcontrollers and TFT display, implementation of ECG Holter device, the realization of ECG telemetry devices.

Gaining knowledge about the basics of electronics in medicine, the use of electrical signals in medicine and the most important characteristics of electronic medical devices: security and reliability.

Course outline

Cells as a source of bioelectric potentials. Electrical conducting system of the heart. Standard ECG leads. Instrumentation amplifier. Low-noise operational amplifier. Bandwidth of the amplifier. Noise and interference problems in analog circuits. Biopotentials signal filtering (VF filter design, design of active and passive filters, harmonic damping circuits). Pacemaker pulse detection, circuits for limiting the slope of signal. Hardware for digital signal processing. Realization of digital filters. Reliability and security of electronic medical devices. Designing power supply parts of medical devices.




1

2

345





Eferica M. Predrag


Number of ECTS

Theoretical knowledge; Mastering the use of appropriate software simulation.

Solving selected problems in computational exercises. Practical work in the laboratory.

Acquisition of knowledge necessary for the understanding of the principles of telecommunications.

Course outline

The transmission of information. Digitization of the signal. Fundamentals of modulation techniques. Transfer of spread spectrum signals. Multiplex signal transmission. Fundamentals of signal compression. Information recording. Fundamentals of coding techniques. Wireless communication systems. Satellite communications. Global Positioning System (GPS).


Oral teaching in the classroom, laboratory exercises.


I. Stojanovic: Fundamentals of telecommunications (in Serbian), Gradjevinska knjiga, Belgrade, 1977


2. S. Haykin, M. Moher: „Introduction to Digital and Analog Communications“, John Wiley, 2007.


Drača Lj. DraganLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Eferica M. Predrag

Control SystemsBScTelecommunications



Course objectives

Course outcomes



12

3

45

Lectures Exercises OFE Study and research work Other classes2 2

Teaching methods



20

Control SystemsBScElectromagnetics - Selected Chapters


Aleksić R. Slavoljub, Cvetković N. NenadLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Perić T. Mirjana, Vučković N. Ana


Lectures and auditive practice classes. Besides board work, multimedial presentations, photographs and video clips are presented. Obligatory consultations with lecturers help successful course material adoption.

Textbooks/referencesD. M. Veličković: Elektromagnetika - prva sveska, Elektronski fakultet, Niš, 2004.


J. V. Surutka: Elektromagnetika, Građevinska knjiga, Beograd, 1966. B. Notaroš, V. Petrović, M. Ilić, A. Djordjević, B. Kolundžija, M. Dragović: Zbirka ispitnih pitanja i zadataka iz elektromagnetike, Akademska misao, Beograd, 2002.

D. M. Veličković, F. H. Uhlmann, K. Brandisky, R. D. Stancheva, H. Brauer: Fundamentals of Modern Electromagnetics for Engineering, TU Ilmenau, Germany, 2005.

D. M. Veličković i saradnici: Zbirka rešenih ispitnih zadataka iz Elektromagnetike, Elektronski fakultet, Niš, 2000.



Number of ECTS

Students who successfully adopt the course material will be capable of following other specialized courses. The student is trained to solve elementary engineering problems that require knowledge of electromagnetics. Also, the candidate is able to understand working principles of devices based on electromagnetic field properties, which are of great significance in modern control systems. The candidate is able to predict the electromagnetic field in the surroundings of devices, as well as to improve its performance, increase its compatibility with other devices, and ensure its safe usage.

Integral and differential form of Maxwell's equations. Maxwell's equations in the complex domain. Electromagnetic properties of materials. Boundary conditions. Electrostatics. Stationary and time-varying electromagnetic field. Analytical methods for calculation of the electromagnetic fields - method of separation of variables, application of the complex variable functions (conformal mapping). Numerical methods for calculation of electromagnetic fields - finite different method, finite element method (FEM), finite difference time domain method (FDTD), equivalent electrode method (EEM). Electromagnetic field potentials in the homogenous media. Poynting's theorem. Plane-wave propagation (in vacuum, dielectrics, imperfect conductors, ferrites and layered media). Wave polarization. Propagation of electromagnetic fields. Fresnel's coefficients. TEM, TE and TM guided waves. Electromagnetic radiation and antennas.

The aim of the subject is that the student upgrades his/her knowledge of electrostatics and magnetism, learns to apply the most commonly used analytical and numerical methods for calculation of EM fields, as well as to get familiar with existing software packages for solving practical problems in the field of electromagnetics.

Course outlineIntegral and differential form of Maxwell's equations. Maxwell's equations in the complex domain. Electromagnetic properties of materials. Boundary conditions. Electrostatics. Stationary and time-varying electromagnetic field. Analytical methods for calculation of the electromagnetic fields - method of separation of variables, application of the complex variable functions (conformal mapping). Numerical methods for calculation of electromagnetic fields - finite different method, finite element method (FEM), finite difference time domain method (FDTD), equivalent electrode method (EEM). Electromagnetic field potentials in the homogenous media. Poynting's theorem. Plane-wave propagation (in vacuum, dielectrics, imperfect conductors, ferrites and layered media). Wave polarization. Propagation of electromagnetic fields. Fresnel's coefficients. TEM, TE and TM guided waves. Electromagnetic radiation and antennas.




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45





0

Pešić T. Miroljub, Đorđević-Kozarov R. Jelena


Number of ECTS

The capability to design the electronic measurement instruments. The capability to develop measurement methods to be applied in the electronic measurements.

Realization of the laboratory exercises in which the basic measurement methods and systems are illustrated on the laboratory models.

Training students to design the measurement instrumentation and to use it properly in development, scientific-research work and its application in processes.

Course outlineThe general classification and characteristics of the measurement systems. The measurement methods and techniques for the calibration of the measuring instruments. The measurement systems’ errors. The metrological system and tracebility. The sources of the measurement signals. Viewing and recording of the signals’ waveforms. The measurement of electric voltage, current and power. The measurement of frequency, phase and time interval. The measurement of signals’ and systems’ characteristics. The measurement of impedance, electronc circuits’ and semiconductor components’ parametars. The information technologies in the measurement instrumentation. Virtual instrumentation and visualization of the measurement processes. The interface systems. The measurement-information systems.


Realization of the laboratory exercises in which the basic measurement methods and systems are illustrated on the laboratory models.

Textbooks/referencesI. Bagarić: Metrologija električnih veličina-opšti deo, Nauka, Beograd, 1993.


W. Nawrocki: Measurement Systems and Sensor, Artech House, 2005.

J. Webster ed. , The measurement, Instrumentation and Sensor handbook, IEEE Press, 1999.

Clyde F. Coombs ed. : Electronic Instrument Handbook, Mc Graw-Hill, Inc, 1995.


Radenković N. Dragan, Živanović B. DraganLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Pešić T. Miroljub, Đorđević-Kozarov R. Jelena

Control SystemsBScElectronic Measurements



5 Course status (obligatory/elective) obligatory PrerequisitesCourse objectives

Course outcomes



1

2345


2 2Teaching methods



Control SystemsBScProcess Control


Jovanović D. ZoranLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Nikolić S. Saša, Danković B. Nikola



Textbooks/referencesBrаtislаv Dаnković, Drаgаn Antić, Zorаn Jovаnović, Process Control , Faculty of Electronic Engineering, Niš, 2010. (in Serbian)


J. Romagnoli, A. Palazoglu, Introduction to Process Control, CRC Press, 2006.G. Kalani, Industrial Process Control , Elsevier, 2002.


Number of ECTS

Knowledge of methods for the synthesis and implementation of control systems of specific industrial processes (mechanical, electromechanical, thermal, hydraulic, chemical, nuclear ...).

Working with software package MATLAB, and the application of gained knowledge in real industrial processes. Types of processes. Features of the process. Impulse proportional control. Fuzzy control. Development and tuning industrial PID Controllers. Genetic algorithms. Neural networks.

Gaining knowledge of industrial processes, the classical method of control and computer process control.

Course outline

General concepts of processes. Types of processes. Features of the process. Economic aspects of process control. Classical methods of control. Program control. Sequential process control. The application of computer technology in the process control. Real time computer controled systems. Application of microprocessors and microcomputers. Application of programmable logic controllers. Application of computers in automatization of complex processes. Hierarchical process control. Fuzzy control of processes. Neural networks in process control. The application of genetic algorithms in process control. Control of technological processes in industry.




1

2345


2Teaching methods



Control SystemsBScEnglish Language 1


Stojković M. NadeždaLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)



lectures, consultations.

Textbooks/referencesSlađana Živković, Nadežda Stojković, English for Students of Information and Communication Technologies , Elektronski fakultet, 2012.




Number of ECTS

Theoretical and practical knowledge on English language for electro technology.

Work on verbal tenses, passive, if clauses, exercises on expert vocabulary, relevant areas of syntax and morphology.

Acquiring knowledge on English Language for electro technology.

Course outline

Work on language units related to basic aspects of electro technology. Introduction to professional and scientific vocabulary, specific and characteristic syntax structures and basic morphological processes that are most frequent in expert English language for electro technology.




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45


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Number of ECTS

Based on the acquired theoretical knowledge, students can successfully solve different optimization tasks.

Homework and solving concrete problems during exercises facilitates students to overcome the methodological units that are processed through theoretical classes.

The goal of this course is to master the basic theoretical knowledge necessary for the application of different optimization methods.

Course outlineIntroduction. Formulation of optimal control task. Cost functions. Necessary and sufficient conditions for optimality. Unconstrained optimization methods. Optimization with constraints. Lagrange multipliers and Hamiltonian function. Classical calculus of variations. The Euler-Lagrange equation and transversality conditions. Maximum principle. Principle of optimality and dynamic programming. Continuous-time LQR problem. Finite and infinite (steady-state) horizon cases. Separation principle and observers in optimal control systems. Examples.


Lectures; Exercises; Consultation.

Textbooks/referencesF. L. Lewis, V. L. Syrmos, Optimal Control, John Wiley&Sons. Inc., New York, 1995.


M.B. Naumović, Optimal Control Techniques , Faculty of Electronic engineering, WUS Austria, Niš, 2007. (in Serbian)

Ј. B. Burl, Linear Optimal Control – H2 and Hinf , Addison-Wesley Longman, Inc., USA, 1999


Naumović B. MilicaLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Petković P. Miloš, Spasić D. Miodrag

Control SystemsBScOptimal Control






1

2

345


2 2Teaching methods




Number of ECTS

The ability of controller design based on artificial neural networks, genetic algorithms, fuzzy systems and predictive control for industrial processes.

Introduction to MATLAB Neural Network Toolbox. Learning movement trajectories using neural networks. Predictive control using neural networks. Introduction to MATLAB Genetic Algorithm and Direct Search Toolbox. Introduction to MATLAB Fuzzy Logic Toolbox. Introduction to MATLAB Model Predictive Control Toolbox. Predictive control of dc motor. Predictive control of magnetic-levitation system.

Acquiring knowledge of modern plant control methods in industrial environment.

Course outlineIntroduction to neural networks. Classification of neural networks. The main characteristics of neural networks. Neural networks training. The application of neural networks. Static and dynamic neural networks. NN learning algorithms. Non-recursive and recursive algorithms. Appilication of neural networks in identification of dynamical systems. The control algorithms based on neural networks and their implementation in industrial processes. Genetic algorithms. Minimization of the objective function. Classification of search and optimization procedures. Operators in genetic algorithms (selection, mutation, crossover). The influence of parameters on the behavior of a genetic algorithm. Fuzzy control. Linguistic variables. Fuzzy sets. Fuzzification. Mechanism of deduction. Defuzzification. Takagi-Sugeno fuzzy systems. Fuzzy control systems. Examples of design and application of fuzzy control in industrial processes. Predictive control. Basics. Predictive control of discrete-time systems. Predictive control of continuous-time systems. Implementation of the systems with a predictive control in industrial processes.


Lectures; Auditory exercises; Computer exercises; Consultations

Textbooks/referencesA. Cichocki, R. Unbehauen, Neural Networks for Optimization and Signal Processing, John Wiley & Sons,1993.


G. Kalani, Industrial Process Control , Elsevier, 2002J. Romagnoli, A. Palazoglu, Introduction to Process Control , CRC Press, 2006.

M. Nørgaard, O. Ravn, N. K. Poulsen, L. K. Hansen, Neural Networks for Modelling and Control of Dynamic Systems , Springer-Verlag, London, 2000

Control Systems

Mitić B. Darko, Milojković T. MarkoLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Milovanović B. Miroslav, Spasić D. Miodrag

BScModern Control of Industrial Processes





1

2

3

45




10 written examoral exam 40

3020

Control SystemsBScSoftware for the Simulation of Dynamical Systems


Antić S. Dragan, Milojković T. MarkoLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Danković B. Nikola


Lectures, Auditory Exercises, Laboratory Exercises, Computer Exercises, Consultations.

Textbooks/referencesD. Antić, B Danković, Modelling and Simulation of Dynamical Systems , Faculty of Electronic Engineering, Niš, 2001. (in Serbian)


Dymola user manual, Dymola Multi-Engineering Modeling and Simulation, Dynasim, 2004.S. Annigeri, An Introduction to Scilab , 2009.

R. Bitter, T. Mohiuddin, M. Nawrocki, LabView Advanced Programming Techniques, CRC Press, 2007.

D. Antić, Practical Handbook on Modelling and Simulation of Dynamical Systems , Faculty of Electronic Engineering Niš, 2006. (in Serbian)


Danković B. Nikola


Number of ECTS

Knowledge of the modelling methodology of various dynamical systems and computer simulation using different software packages (LabView, Matlab/Simulink, Dymola, Scilab).

Introduction to the software environments of LabView, Matlab/Simulink, Dymola, SciLab. Simple applications design. Dataflow programming. Controls and indicators settings. Subsystems and extension of existing models. Data exchange between two or more loops and programs. Local and global variables. Modelling and simulation of different types of dynamical systems (mechanical, electrical, thermal, hydraulic) in different software environments. Modelling and simulation of the systems in automotive industry using different software packages. Design of complete applications.

Introduction to the basics of computer simulation techniques using various software solutions. Teaching students to simulate real dynamical systems.

Course outline

The development and history of simulation software. The simulation software oriented to the models in the form of equations. Simulation tools oriented to the block diagrams. User interface of the simulation environment. Linear continuous systems and simulation. Discrete systems and simulation. Nonlinear systems and simulation. Systems with stochastic parameters. Monte Carlo simulation. Artificial intelligence and simulation. Simulation software for bond graph models. The application of knowledge-based systems in modeling and simulation. Qualitative modeling and simulation. Errors in the simulation and methods for overcoming them. Specialized software for simulating certain classes of systems. Modeling and simulation in practice.




1

2

345

Lectures Exercises OFE Study and research work Other classes2 2 1

Teaching methods

points Final exam points5 written exam

15 oral exam 4040

Control SystemsBScDatabases


Stoimenov V. LeonidLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Stanimirović S. Aleksandar, Bogdanović D. Miloš


Lectures, auditory exercises, laboratory exercises. Individual work for homework and projects

Textbooks/referencesR. Emasri, S. Navathe, Fundamentals of Database Systems, Addison-Wesley; 6 edition (2010), ISBN-10: 0136086209, ISBN-13: 978-0136086208


Teaching materials on the site: http://cs.elfak.ni.ac.rs/nastava/

S. Đorđević-Kajan, L. Stoimenov, Praktikum za vežbe na računaru iz predmeta Strukture i baze podataka, II deo: BAZE PODATAKA, Edicija: Pomoćni udžbenici, 2004, Elektronski fakultet u Nišu


Stanimirović S. Aleksandar, Bogdanović D. Miloš


Number of ECTS

Theoretical and practical knowledge of database design and data models (ER, EER, UML), relational data model and database implementation, and relational algebra.

ER diagrams (entities, relationships, attributes), Translating ER model to a relational model, SQL DDL commands (CREATE TABLE command, data types), Queries and SQL SELECT command (basic command form, merging tables, advanced command form), SQL command for updating (INSERT, UPDATE, DELETE), SQL commands for working with views and indexes, ADO.NET (library architecture, Connection, Command, DataReader, DataAdapter, DataSet, parameterized queries, transactions), Homework: designing a database based on given requests by using the (E)ER model, Project: realization of a database application by using ADO.NET library

Gaining fundamental knowledge necessary to design, implement and use databases.

Course outline1. Introduction to databases: basic concepts (data, information, database, database management system, database system, database applications), conventional processing and processing based on databases.2. Data models: levels of abstraction in DBMSs, the concept of data model and its components, conceptual design of databases, (E)ER data model, designing databases.3. Relational model: concepts of the relational model, structural and integrity component, relation scheme, relation entity, relation key, constraint specification, SQL DDL commands.4. Relational algebra: relational algebra, relational algebra operations, relational algebra queries, examples of queries.5. Functional dependencies: definition of a functional dependency, rules of derivation for functional dependencies, closure of a set of functional dependencies.6. Relation schema analysis: analysis process and the quality of the designed database, anomalies in poorly designed databases, relation decomposition in normalization and properties.7. Normalization: the purpose of normalization and normal forms, normal forms definitions and testing (first, second, third and Boyce-Codd's normal form), normalization process.8, Introduction to transactional processing: the concept of transaction, ACID properties of transactions, DBMS level transactions.9. Database system architecture, overview: monolithic systems, multiuser systems, client-server




1

2

3

45




10 written exam40 oral exam 50

Control SystemsBScSensors and Actuators


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


Vračar M. Ljubomir


Auditorial teaching, Laboratory exercise, student tutorials


M.Popovic, "Senzori i merenja", Zavod za udzbenike i nastavna sredstva, I.Sarajevo, 2004 (in Serbien)


N. Jankovic , Authorized teaching and lecturing course material available at the school web pages.

N.Jankovic, "Practikum iz predemta Senzori i pretvaraci", Elektronski Fakultet Nis, 1995 (in Serbian)


Vračar M. Ljubomir


Number of ECTS

Students obtain the knowledge about device fabrication, operational principles and practical implementation of integrated sensors and actuators.

The laboratory exercises include courses on sensors operation and electrical characterisitcs found in practice. Especially, the introductory cource is aimed to educate students with programing micorcontrolers for data processing from different snensor devices.

Acquiring the knowledge for understanding and practical application of modern sensor components and their application in Microsystems.

Course outline

Information-processing systems. Measurement and control systems. Actuators. Sensor definitions and classification. General sensor characteristics and limitations.. Parameters definition. Sensor calibration methods. Error corrections. Fabrication technology. Reliability issues. Sensors for radiation, mechanical, thermal ,magnetic , chemical and biological signals. Sensors design and operation. Applications. Smart integrated sensors and actuators. Functional blocks. Micro-electro-mechanical sensors (MEMS), technology, components and systems. Integrated sensors and MEMS components.




1

2

3

45





2025

Control SystemsBScMeasurements in Medicine


Radenković N. DraganLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Đorđević-Kozarov R. Jelena


Lectures, Auditory exercises, Consultations.


Dragan Radenković, Aca Micić, “Elektromedicinska instrumentacija”, Elektronski fakultet, Niš, 2007.


Joseph Carr, John Brown, “Introduction to Biomedical Equipment Technology”, Third Edition, PRENTICE HALL, New Jersey 1998.

John G. Webster, “Medical Instrumentation Application and Design, Second Edition”, JOHN WILEY & SONS, 1995.


Dinčić R. Milan


Number of ECTS

Theoretical knowledge. Mastering the use of relevant electronic circuits and measuring methods in medicine.

Learning basic knowledge necessary for the measurement of various quantities on the patient body.

Course outlineElectromedical measurement systems and their characteristics. Biopotential amplifiers and isolation amplifiers. Electronic devices for recording and measurement of the biopotential (electromyograph, electrocardiograph, electroencephalograph, ...). Pulse measurement, blood pressure and blood flow measurement. Measurement of other quantities on the human body. Protecting the patient from the effects of electricity.




1

2

34

5





Jovanović D. Igor, Andrejević-Stošović V. Miona


Number of ECTS

Theoretical knowledge on fundamentals of power electronics. Mastering the techniques of development, realisation and application of the basic circuits of power electronics.

Basic circuits of power electronics; Single-phase voltage regulator; Three-phase voltage regulator; Single-phase diode rectifier; Three-phase diode rectifier.

Acquiring the fundamental knowledge about power electronics, components of power electronics and the fundamental circuits in which they are applied.

Course outline

Introduction to power electronics. Components of power electronics (diode, bipolar transistor, thyristor, MOSFET, IGBT). Application technique of power components (cooling, protection, joint operation of components). Basic circuits with diodes and thyristors. AC voltage controllers. Natural and forced commutation. Sources of DC voltage (diode rectifiers, thyristor rectifiers).


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

Textbooks/referencesM.Radmanović, D.Mančić, Osnovi energetske elektronike, 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.

M.Radmanović, D.Mančić, Zbirka zadataka iz energetske elektronike, Faculty of Electronic Engineering, Niš, 1995.


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


Jovanović D. Igor, Andrejević-Stošović V. Miona

Control SystemsBScFundamentals of Power Electronics






12345




written exam 30oral exam 30

40

Control SystemsBScDigital Signal Processing


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


Stančić Z. Goran


Lectures, auditory exercises, laboratory exercises, consultation

Textbooks/referencesM. Popović, Digitalna obrada signala, Nauka, 1994


S. Мitrа, Digital signal processing A computer based approach, McGraw-Hill, 2006.Steven T. Karris, Signals and systems with Matlab applications, Orchard publications, 2003.

Јоn G. Prоаkis, Dimitris Маnоlаkis, Digitаl Signаl Prоcеssing, Pеаrsоn, 2007.Lj. Milić i Z. Dobrosavljević, Uvod u digitalnu obradu signala, Akademska misao, 2009


Stančić Z. Goran


Number of ECTS

Theoretical and practical knowledge about discret systems and their realization techniques. Mastering the techniques for designing of recursive and nonrecursive digital filters.

Derivative transform. Impulse invariant transform. Calculation of z transform based on Laplace transform. Bilinear transform. Modified z transform. LT-FT-ZT relations. Digital filters realization structures. Direct realization. Cascade realization. Parallel realization. Transposed realization. Lader realization. Lattice realization. Allpass realization. Binar arithmetic. Filter transfer function coefficient quantization effects. Limit cycles. Product quantization and limit cycles effects. Limit cycles as adder overflow effect. Digital to analog conversion.

Acquiring basic knowledge of analysis, synthesis and processing of digital signals. Introduction to the methods of practical implementation of the transfer function. Introduction to basic Matlab commands for analyzing and processing of digital signals. Acquiring basic knowledge for easer study of courses of Audio signal processing and Digital image processing.

Course outline

z transform. Inverse z transform. Discrete Fourier transform. Short-time Fourier transform. Discrete systems. Convolution. Linear difference equation with constant coefficients. Discrete system block diagram representation. Discrete system transfer function. Frequency response. Analog to discrete space transformation. Derivative transform. Impulse invariant transform. Bilinear transform. Nonrecursive digital filters. Linear phase networks. Design methods of nonrecursive digital filters. Window functions. Frequency sampling nonrecursive digital filter design. Hilbert transformer.





1

2345


2 2 1

Teaching methods



Nikolić S. Goran, Đorđević D. Srđan


Number of ECTS

Conversion methods. Application of the converter.

Weighted DACs, Ladder Network DAC, Capacitive Binary-Weighted DAC. Successive Approximation ADCs, Flash Converters, Dual Slope ADCs, VF Converters, First-Order Sigma-Delta ADC

Introduce students to the basic techniques of conversion signals from analog to digital domain and vice versa, as well as the acquisition of practical knowledge about current circuits for this purpose.

Course outline

Data Converter History, Coding and Quantizing. Sampling Theory. Data Converter Errors. Data Converter Architectures. Testing Data Converters. Interfacing to Data Converters.Voltage References, takt generators, analog switches and multiplexers, Sample ana hold circuits.Data Converter Applications: Precision Measurement and SensorConditioning, Digital Potentiometers, Digital Audio, Digital Video and Display Electronics, Software Radio, Direct Digital Synthesis.


Auditory teaching using computers and projectors. Basic examples of some simulation methods. Practically show characteristic signal conversion methods. Lectures, exercises, labs, homework, colloquia, seminars and consultations.

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


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


Petrović D. BranislavLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)



Control SystemsBScData Converters


6 Course status (obligatory/elective) electivePrerequisitesCourse objectives

Course outcomes



1

2

3

4

5





3010

Control SystemsBScInformation Theory and Applications


Đorđević T. GoranLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Cvetković M. Aleksandra


Lectures, exercises in classroom, lab exercises, consultations, homework, project.

Textbooks/referencesD. B. Drajić, P. N. Ivaniš, Introduction to Information Theory and Coding, Akademska misao, Beograd, 2009.


D. B. Drajić, D. D. Bajić, D. D. Drajić, P. N. Ivaniš, Information Theory and Codes in Telecommunications, Manual for Laboratory Exercises, Faculty of Electrical Engineering, Beograd, 2011.

S. B. Wicker, Error Control Systems for Digital Communication and Storage, Prentice Hall, Inc., New Jersey, USA, 1995.

T. M. Cover, J. A. Thomas, Elements of Information Theory, John Wiley & Sons, Inc., New York, USA, 1991.


Cvetković M. Aleksandra


Number of ECTS

After passing the exam the student will: 1) know to determine the entropy of discrete memoryless source and Markov source; 2) know to calculate capacity of memoryless telecommunications channels; 3) know to design compact source codes and apply algorithms for encoding and decoding convolutional and block codes; 4) be able to understand articles in the field of information theory and coding.

Exercises in classrooms (solving problems) and lab exercises using computers for MATLAB exercises in all topics from lectures.

Gaining basic knowledge in the field of information theory, source coding and error corection coding that is required for advanced courses in these areas.

Course outlineBasic measures of information. Discrete memoryless source. Markov source. Continuous source. Source coding. Kraft and McMillan inequalities. Compact code. First Shannon theorem. Efficiency and redundancy of code. Huffman coding. Lempel-Ziv coding. Discrete telecommunications channel model. Capacity of discrete and continuous telecommunications channels. Arimoto-Blahut algorithm. Hamming distance. Second Shannon theorem. Introduction to error correction coding. Linear block codes. Cyclic codes. Convolutional codes. Viterbi algorithm. BCJR (Bahl-Cocke-Jelinek-Raviv) algorithm. Introduction to cryptology.



Course outcomes



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2

345


2 2Teaching methods


written exam 30oral exam 30

40


Number of ECTS

Knowledge about structures of cable and fiber-optic communication systems. The ability to compare different systems and to identify advantages and weaknesses. Understanding operating principles of optoelectronic components. Training for working with basic measurement equipment used in cable and fiber-optic communication systems.

Exercises: Examples of calculations in cable and fiber-optic communication systems. Using software packages for design and analysis of cable and fiber-optic communication systems.

Introduction to structures, elements and operating principles of cable and fiber-optic communication systems.

Course outline

History of cable and fiber-optic communication systems' development. Telecommunication cables with metal conductors. Fiber-optic cables. Splicing. Optical connectors. Cable systems. Hybrid fiber-coaxial systems. Passive optoelectronic components. Active optoelectronic components. Optical systems and networks. The basic principles of structured cabling.


Lectures, exercises, consultations

Textbooks/referencesDavid Large, James Farmer, Broadband Cable Access Networks: The HFC Plant, Morgan Kaufmann, 2008.


A.B. Semenov, S.K. Strizhakov, I.R. Suncheley, Structured Cable Systems, Springer, 2008.Additional material provided by the teachers

J. M. Senior, Optical Fiber Communications, Priciples and Practice, Prentice Hall, 2009

Владанка Аћимовић-Распоповић, Слободан Лазовић, Телекомуникациони системи-оптички системи преноса, Саобраћајни факултет, Универзитет у Београду, 2002.

Control Systems

Dončov S. Nebojša, Pronić-Rančić R. OliveraLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Stošić P. Biljana, Marinković D. Zlatica

BScCable and Fiber-optic Communication Systems





12345





Nikolić S. Saša, Milovanović B. Miroslav


Number of ECTS

Theoretical and practical knowledge of PLC systems. Design of control systems based on PLC.

Getting familiar with the structure of the PLC; PLC programming methods; Introduction to the work and applications of the PLC-Siemens and development software Step7; Working with PLC and development software Omron CX One; PLC applied to dosing system; PLC applied to transport system; PLC applied to the water supply system; PLC applied to control of the thermal process.

Acquiring basic knowledge of the structure, mode, programming and practical application of the PLC systems in the industry.

Course outline

Introduction to the programmable logic controllers (PLC). Input-output devices. Processing of input-output signals. Programming of programmable logic controllers. Ladder diagrams. Logical functions. Examples. Components of PLC. Internal relays. Timers. Counters. Shift registers. Data processing. Stages in the development of programs for the PLC. Testing and debugging. The application of up-to-date PLC systems from different manufacturers (Siemens, Omron, Mitsubishi, Allen Bradley, Schnieder Electric). Example of PLC application in the control of assembly line in automotive industry.



Textbooks/referencesD. Collins, E. Lane, Programmable Controllers: A Practical Guide, McGraw-Hill, 1995.


W. Bolton, Programmable Logic Controllers, Newnes, 2003.


Jovanović D. ZoranLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Nikolić S. Saša

Control SystemsBScProgrammable Logic Controllers





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2345




written exam 4030 oral exam 30


Number of ECTS

Students will be able to design microcontroller based devices and systems.

Examples of interfacing peripherals to the microcontroller based systems. Examples of specific algorithms based on the microcontroller. Laboratory exercises on a development boards for Microchip PIC MCUs.

Introduce students to the current problems of designing and programming systems based on microcontrollers. View on practical examples based on the PIC microcontroller family 16F8XX.

Course outlineIntroduction. Application areas. Selection of the microcontroller (MC). Architecture MC's. Memory space. Registers. Program counter, accumulator, status register. Interrupts and their use. Stack. I/O ports. Timer, communication and A/D and D/A modules. Instructions format. Instruction set. Development and design applications. Integrated Development Environment. C and assembler. Test and debug the source code. Simulation. In circuit debugger. Interfacing sensors,and displays. The realization of P, PI, PID control algorithms. DC and stepper motor control. DSP microcontrolers. Low power and fault tolerant deign.

http://cs.elfak.ni.ac.rs/nastava/course/view.php?id=18 белешке са предавања и сајт предмета (Т. Токић, М, Јевтић)


Lectures. Auditory exercises. Projects. Laboratory exercises.



Simić S. Vladimir

Microcontrollers and ProgrammingTokić I. Teufik, Jevtić S. MilunLecturer (for lectures)

Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Simić S. Vladimir


Control SystemsBSc





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2345


2Teaching methods




Number of ECTS

Advanced theoretical and practical knowledge on English language for electro technology.

Practicing basic principles and kinds of spoken and written communications for electro technology. Enhancement of knowledge of grammar, syntax, morphology, and of communications skills.

Acquiring advanced knowledge on English language electro technolgy.

Course outline

Work on advanced linguistic units related to basic areas of electro technology. Enhancing the knowledge on expert terminology, specific and characteristic syntax structures and morphological processes that are most present in expert English language for electro technology. Introduction to the basic principles and kinds of spoken and written communications for electro technology.


lectures, consultations.

Textbooks/referencesSlađana Živković, Nadežda Stojković, English for Students of Information and Communication Technologies , Elektronski fakultet, 2012.



Stojković M. NadeždaLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Control SystemsBScEnglish Language 2



Course objectives

Course outcomes



12345


Teaching methods



Control SystemsBScProfessional Practice/Team Project


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

Head of the module for each moduleLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)







Number of ECTS

Improving the ability of students to involve in the work process right after their studies. Developing the responsible and professional approach to the work and communication skills in the team. Complementing the theoretical knowledge previously acquired and practical knowledge of the issues already studied in the framework of study program. Using the experience of experts employed at the facility where the practice is performed to extend the practical knowledge and motivation of the students. Gaining a clear insight into the possibility of applying the knowledge and skills covered by the study program in practice.

Student typically chooses on its own the company from the state, private or public sector, where he would like to perform a professional practice. Professional practice can be also performed abroad, in which case the student, among other things also improves foreign language. Based on student's suggestion, the head of the module approves conducting the practice in the desired institution and orders a written request to the person in charge for performing the practice at that institution. Upon completion of the practice and according to the student’s reports and the responsible person's signature and company stamp that confirms that the practice is completed, the student will be awarded with 3 ECTS credits for the carried out practice.

Introduction to the working process of the enterprise in which the practice is performed, its objectives and organizational units. Getting to know the team and the project selected in accordance with elected study module. Understanding the working process of the enterprise, business processes, safety at work, participation in the design and documentation and quality control in accordance with the working process and opportunities of the working environment.

Course outline

Content of the professional practice is in full compliance with the goals of the practice. Students get to know the structure of the company and its business goals, adjust their own actions to the chosen study area and fulfil the work obligations in accordance with the duties of employees in the company. Student describes his own involvement in the professional practice and provides a critical review on their experience, knowledge and skills they have gained during the practice.


Course outcomes



1

23

4

5





25

Control SystemsBScServo Systems


Mitić B. Darko, Veselić R. BobanLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Milovanović B. Miroslav


Lectures; Auditory and laboratory exercises; Consultations. Every student is required to do an individual project assignment.

Textbooks/referencesČ. Milosavljević, Fundamentals of Automatic Control - Part I, Faculty of Electronic Engineering, Niš, 2002 (in Serbian).


TMS320F243/F241/C242 DSP Controllers Reference Guide - System and Peripherals, Texas Instruments, 2000.MSK2407 &MCK2407, TMS320LF2407 Motion Starter Kits & Motion Control Kits – User Manual, DSP Motion Solutions, Technosoft, 2001

G.W. Younkin, Industrial Servo Control Systems - Fundamentals and Applications, Marcel Dekker Inc., 2002.

M. Stojić, Continuous-time Automatic Control Systems , Nauka, Beograd, 1996 (in Serbian).


Milovanović B. Miroslav


Number of ECTS

Gain theoretical and practical knowledge necessary for development of various servo system control structures, as well as their digital implementations by means of digital signal processor (DSP).

Solving various problems in servo systems analysis and design through exercises. Introduction to TMS320F/C24xx DSP family specialized for control tasks. Design of a given positional or velocity servo system and its practical realization using MCK2407 system within the project for individual work.

Familiarize students with the tasks and principles of servo control, as well as with the ways of synthesis and realization of modern servo systems.

Course outline

Notion and definition of a servo-system. Servo systems types and structures. Operating accuracy. Feedforward compensation. Disturbance estimation and compensation methods. Frequency domain servo system design using phase compensators and PID controllers. Digital implementation of control algorithms. Methods of numerical integration, Discrete equivalents of analogue filters and controllers. Realizations of digital controllers and filters. Digital signal processors (DSP) and their architecture. DSP peripherals intended for servo system realizations.




1

234

5





Control SystemsBScSofware Design and Development


Milosavljević Lj. AleksandarLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Milosavljević Lj. Aleksandar


Lectures, execises, laboratory excercises.

Textbooks/referencesS. Pfleeger, J. Atlee, Softversko inženjerstvo: teorija i praksa, превод са енглеског, Рачунарски факултет Београд и ЦET Београд, 2006.


J. Blanchette, M. Summerfield, C++ GUI Programming with Qt 4, Second Edition, Prentice Hall, 2008.

Rančić Dejan, Milosavljević Aleksandar, Power Point presentations, 2013.

R. Pressman, Software Enginnering A Practitioner's Approach, 7th ed., McGraw-Hill, 2010.I. Sommerville, Software Engineering, 9th ed., Addison-Wesley, 2011.


Milosavljević Lj. Aleksandar


Number of ECTS

Theoretical and practical knowledge on the design and development of software systems.

Practical work on the design and implementation of GUI applications using Qt multiplatform framework.

The aim of the course is to gain basic knowledge regarding design and development of software systems.

Course outlineIntroduction to software engineering. Models of software development. Software processes. Agile software development. The main activities in the management of software projects. Requirements engineering. Introduction to UML unified modeling language. Software architectures. Software design using design patterns. The principles of the software development. Validation and verification. Systematic software testing.




1

2

34

5





Jovanović D. Igor


Number of ECTS

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

Single-phase thyristor rectifier; Three-phase thyristor rectifier; Chopper; Single-phase inverter; Three-phase bridge inverter.

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

Course outlineTypes of power electronic converters (AC/DC, DC/DC, DC/AC, AC/AC). DC converters (DC/DC). One-quadrant and multi-quadrant converters. Realisation methods of converters. Thyristor converters. Inverters (DC/AC). Types of inverters. Voltage inverters (single-phase and polyphase). Current inverters. Resonant inverters. AC converters (AC/AC). Cycloconverters. Matrix converters. Application of convertors in powering of DC and AC motors. Application of converters in production, transmission and distribution of electricity.



Textbooks/referencesD.Mančić, M.Radmanović, Elektroenergetski pretvarači, 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.


M.Radmanović, D.Mančić, Zbirka zadataka iz energetske elektronike, Faculty of Electronic Engineering, Niš, 1995.




Jovanović D. Igor

Control SystemsBScPower Electronic Converters





1

2345





Jovanović D. Igor


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.




Jovanović D. Igor

Control SystemsBScPower Supplies





12

345





30

Aleksić M. Sanja, Jovanović D. Igor, Jovanović D. Milica


Number of ECTS

Students adopt the necessary knowledge about solar components and systems.

Practical classes are organized by exercises and design of solar systems by using the different software packages. Practical exercises that involve characterization of the different types of solar modules, as well as measurements of basic electrical parameters of solar cells. Visits to solar power plants, where students are introduced to practical construction problems.

Introducing students to the principle of work, the main characteristics and development of solar cells, as well as the design and construction of photovoltaic systems.

Course outlineThe photovoltaic effect. Generation of carriers by the absorption of light. Absorption in direct and indirect semiconductors. Solar cells. The basic mechanisms of energy conversion. Current-voltage characteristics, short-circuit current, open circuit voltage and efficiency Illuminated pn junction. Photocurrent, the saturation current and the ohmic resistance of real solar cells. High efficiency solar cells. Electrical and optical losses. Structures and manufacturing processes for high efficiency solar cells. Materials and technology for the production of Si solar cells. Si solar cell technology. Modern technologies Si solar cells. New materials and future developments. Types of solar cells. The solar cells on crystalline Si solar cell concentrator, MIS, polycrystalline, and multilayer thin-film solar cells. Thin-film solar cells on amorphous Si, Ga-As, Cd-Te, Cu-In-SE2. Analysis and characterization of solar cells. Current-voltage characteristics, spectral response and PCVD measurement techniques. Modeling and simulation of solar cells by using TCAD software packages. Generalized PSpice models of solar cells. PV systems. Components of PV systems. Types of PV systems. Stand-alone PV systems and grid connected PV systems. Applications of PV systems and their installation. Small PV systems for power mobile devices. Efficiency and characteristics of PV systems.


Textbooks/referencesCourse Website


Planning and Instaling Photovoltaic Systems, Eartscan UK&USA, 2008.

D. Pantić, B. Pešić, S. Ristić, Z. Prijić, T. Pešić, A. Prijić, Design of PV Systems, Report, Faculty of Electronic Engineering Niš, 2004.


Pantić S. Dragan, Mančić D. DraganLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)



Control SystemsBScSolar Devices and Systems





1

2345


2 2 1

Teaching methods





Number of ECTS

Knowledge of electrical and electronic devices in the car. Application and analysis of data of the diagnostic devices

Basic methods of measurement for automotive engines. Measurement of torque. Temperature measurement. Pressure measurement. Measurement of air flow. Electronic ignition. Diagnostic devices. Analysis of diagnostic protocols. PC connectivity.

Introduction to the general structure of the car and the electrical system in the car and the engine control principles. Introduction to modern methods of diagnostics of the vehicle.

Course outline

Automotive fundamentals: engine, drive train, suspension, steering brakes instrumentation. Electronic engine control: exhaust emission, fuel economy, engine performance terms, engine mapping, control strategy, electronic ignition. Sensors: air flow rate sensor, angular position sensor, engine speed sensor, timing sensor, throttle angle sensor, temperature sensors, exhaust gas oxygen sensor, and knock sensors. Actuators: fuel infection, exhaust gas recirculation actuator. The computer ECM: adaptive operation strategy, vehicle network systems. Diagnostic techniques: DTC, OBD. Design example: Development and using OBD diagnostic tools.


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.



"Understanding Automotive Electronics", William RibbensPowerPoint presentations for all lectures, http://es.elfak.ni.ac.rs





Control SystemsBScAutomotive Electronics



Course outcomes



12

3

45


2 2 1

Teaching methods



Kostić Z. Vojkan, Radić M. Milan


Number of ECTS

Knowledge of basic principles of functioning and structure of electric drives. The ability to perceive a complex electromechanical system through functional connectivity of the power converters, electrical machines and load. Knowing the steady state characteristics.

In laboratory experiments on real machines are implemented practical training which include:- Drives with DC motors (analysis of working regime, control methods, braking regime).- Drive with induction and synchronous machines (analysis of working regime, control methods, braking regime).- The application of converters in DC and AC drives

Introducing students to the role and importance of electric drives, types, structures and methods of analysis of static characteristics in terms of practical application.

Course outlineThe importance of electric drives. The selection of an electric motor. Drive characteristics with DC motors. Mathematical models, steady state characteristics, equivalent circuit. Electric braking methods. Control techniques. Combined voltage and flux control. Application of converters to DC drives. Drives with induction and synchronous motors. Basic equations. Equivalent circuit. The influence of voltage, parameters and frequency variation. Electric braking methods. Voltage and current converters for AC motor drives. Steady state characteristics. Application of inverter. Control methods.


Classes are conducted through lectures and exercises. Lectures use modern teaching methods. Auditory exercises with numerous example refer students to independently solve problems from engineering practice. Part of the exercise is performed in the laboratory in order to obtain the steady state characteristics of drives.

Textbooks/referencesV. Vučković, ”Electrical drives”, Akademska misao,Beograd, 1997. (In Serbian)


R. Krishnan, Electric Motor Drives, Virginia Tech, Prantice Hall 2001

N Mitrović, B. Jeftenić, M. Petronijević, V. Kostić, "Practical Laboratory exercises for electrical Drives", Faculty of Electronic Eng., Nis, 2004. (In Serbian)

B.Jeftenić, V.Vasić, ,N. Mitrović,, ”Electrical drives -Solved problems”, Akademska misao, 2003. (In Serbian)


Mitrović N. NebojšaLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Kostić Z. Vojkan, Radić M. Milan

Control SystemsBScElectrical Drives



Course objectives

Course outcomes



12

345


2Teaching methods



4010

Control SystemsBScBusiness Communications


Bojkov S. VančeLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)



Lectures, consultations.

Textbooks/referencesДелетић, С/Пејчић, М. (2008): Пословне комуникације, Ниш, Електронски факултет.


Томић, З. (2006): Комуникологија, Београд, Чигота штампа.Смит Пол (2002) Маркетинг комуникације, Београд, Клио.

Станковић, Љ./Аврамовић,М. (2006): Пословно комуницирање, Ниш, Економски факултет.



Number of ECTS

The readiness of engineers of electro technology to organize and indipendently make decisions in contemporary corporate business with gained communicational skills with the practical application of modern technique of planning.

The aim of the subject is to introduce future engineers of electro technology with the role of business communications in business strategy, communications aspects in business relations, communication skills, as well as with didactics principles in practical business and electronic communications.

Course outline

Basic elements of communications.Structure of communicative process. Types of communications.Communicative aspects of business relations. Basic rules and principles of business negotiations. Technique of business negotiations. Basic characteristics of business communications. Public relations. Press conference. Leadership. CV. Business etiquette. Internet and electronic business. Forms of e-commerce. Risks and safety of e-commerce. Influence of the Internet on the shaping and development of contemporary society. European law regulations for e-communication. Legal and ethical problems of commerce on the Internet. Privacy protection.


Course objectives

Course outcomes



12345


2Teaching methods



4010


Number of ECTS

The expected outcomes include knowledge on principles on which the concept of sustainablity is based, the implementation of moral norms in the formation of critical evaluation of strategies for the protection of environment and sustainable development in the specifc spacial, social and cultural conditions in which engineering acting is done.

The aim of the subject is to present the dynamics development of ecological issues and the sustainable development in the contemporary world, as well as their influence on the theory and practice of engineering; to allow students to gain knowledge in the field of education for engineers, engineering, engineering ethics and sustainable development; to stir understanding of their mutual dependance and to help students master the principles of sustainable development and to recognize the relevance of ethics and education for engineers in the fields of technology and society.

Course outlineThe origin of the term and the historical development of the idea of education. Education of engineers in Serbia. The concept of contemporary society. Technological changes, knowledge and new materials. Engineering, engineering ethics and the relevance of ethics in technics and society. Sustainable development. Philosophy, principles and practice of the sustainable development. Visions and approaches to sustainable development. The role of the interantional community in the formation of 'planetar' politics of sustainable development policy. World forums and strategic documents on establishing priorities, aims and the policy of sustainable development on both global and local levels. Sustainable development as an alternative to traditional political and economical paradigm. The role of technology in the sustainable development. Sustainable development and the technology changes. Dependence on technological changes, the failure of techonological improvements and the failure of adopting alternative technologies. Preventive engineering and sustainable development. Instruments for ecological politics. European programs, funds and projects. Ecological consequences and scientific technological revolutions.


Lectures, consultations.

Textbooks/referencesБојков, В . (2013): Образовање за инжењере и одрживи развој (у завршној припреми)


Ђукановић, М. (1996): Животна средина и одрживи развој, Београд, ЕлитДелетић С./Пејчић М. (2007): Друштво и одрживи развој, Ниш, Електронски факултет




Control SystemsBScEngineering Education and Sustainable Development



Course outcomes



12

345


2 2Teaching methods



4020


Number of ECTS

Description of mechanics problem, with an emphasis on motion and interaction. Differential equations of motion and their solution. Dynamics of systems of rigid bodies. Modeling of the dynamics of transmission components in machines. Robot dynamics model.

Introduction to problems in statics, kinematics and dynamics and with ways for their solving. Application in modeling of devices important for automatic control systems.

Course outlineReduction of the system of forces: the main force vector and momentum. Equilibrium conditions. Kinematics of materia point: position, finite equations of motion, velocity, acceleration, trajectory, hodograph of velocity and acceleration vectors. Kinematics of rigid body. Degrees of freedom. Angular velocity and acceleration. Dynamics of material point. Differential equations of motion. Work, energy, friction, motion in resistant environments, oscillations. System dynamics. General theorems on dynamics, consersative and nonconservative systems, potential and potential energy. Dynamics of rigid body. Theorems on momentum and kinetic momentum, coordinate systems, differential equations of rigid body motion. Analytical mechanic. Mechanical connections. Holonomic and nonholonomic constraints, degrees of freedom of the constrained mechanical system, generalized coordinates. System state coordinates. Dynamics of constrained systems. Virtual displacement principle. Motion equations in terms of generalized coordinates. Elements of mechanisms theory. Kinematic couples. Machine, tool and robot as kinematic chains. Dynamics of mechanisms. Mechanics in technical and biological systems. Mechanics of components and devices employed in automatic


Lectures; Auditory exercises; Consultations.

Textbooks/referencesLecture notes and slides


S.M. Targ, Theoretical Mechanics – Short Course, GK, 1996, (in Serbian).D.B.Popović, D.Мikičić, Mechanics – Solved problems, Naučna Knjiga, 1995. (in Serbian)

F.P. Beer, E.R.,Jr.Johnston, Mechanics for Engineers: Statics and Dynamics, McGraw-Hill, 1987.


Đorđević S. Goran, Veselić R. BobanLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Todorović Z. Darko, Petković P. Miloš

Control SystemsBScDynamics of Mechanisms and Machines



Course objectives

Course outcomes



123

45





4015

Control SystemsBScControl System Design




Todorović Z. Darko, Milovanović B. Miroslav



Textbooks/references G. Goodwin, G. Stefan, and M. Salgado, Control System Design , Prentice-Hall, 2000.


M.B. Naumović: Control System Design , Faculty of Electronic engineering, WUS Austria, Niš, 2005. (in Serbian)

R.C. Dorf, and R.H. Bishop, Modern Control Systems, Prentice-Hall, 2004.


Petković P. Miloš


Number of ECTS

Upon completion of this course, students will:- Understand the concept of control system design and be able to formulate and solve practical engineering problems.- Be able to design and verify controllers in accordance with the technical requirements.

Solving concrete problems during exercises. Project design facilitates students to overcome the methodological units that are processed through theoretical classes.

The purpose of this course is to give the theoretical and practical knowledge related to the design of control systems and to prepare students for the rapid development of different algorithms in real-time.

Course outlineIntroduction. General principles of control system design. Specifications for tracking and regulation design. Process dynamic determination. Fundamental design limitation in SISO control. Design of conventional controllers. Design of disturbance-invariant digital control systems. Programmable logic controllers. Digital simulation of designed system.





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400


Number of ECTS

Theoretical knowledge in nonlinear control systems. Implementation of nonlinear system theory in analysis and synthesis of control systems.

Analysis of NCS in phase space. The phase portraits of the second order linear systems. The harmonic linearization method. The application of Mikhail's criteria for determining the parameters of self-oscillations. The first Lyaponov's (indirect) method. The second Lyapunov's (direct) method. The stability analysis using Popov's frequency method. Design of variable structure control systems with sliding mode.

Acquiring knowledge of nonlinear control systems. Methods for analysis and synthesis of nonlinear control systems.

Course outlineNonlinear Control Systems (NCS). Concept, qualification and typical nonlinearities of NCSs. Methods of analysis for NCS. Stability of NCS. Definition of stability, local stability, Lyapunov's indirect method, Lyapunov's direct method. Absolute stability of NCS. Lure’s problem. Popov's frequency method. Process stability. Examples of NCS. Systems with natural nonlinearities, systems with deliberately introduced nonlinearities (relay control systems, variable structure control systems). Examples for analysis and synthesis of NCS.


Multimedia lectures; Auditory exercises

Textbooks/referencesČ. Milosаvljević, Fundametals of Automatic Control - II part: Continuous-time Nonlinear Control Systems, Faculty of Electronic Engineering in Niš, 2003. (in Serbian)


Č. Milosavljević, Fundamentals of Automatic Control - Methodical Workbook, Faculty of Electronic Engineering, Niš, 1995. (in Serbian).D. Antić, Č. Milosavljević, G. Golo, D. Mitić, P. Vuković, Automatic Control Systems - Exam Exercises, Faculty of Electronic Engineering, Niš, 1995. (in Serbian)

H.K. Khalil: Nonlinear Systems , Prentice Hall, 1996.M. Stojić, Control Systems, Faculty of Electronic Engineering in Niš, 2004. (in Serbian)



Perić Lj. Staniša

Control SystemsBScNonlinear Control Systems





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Pešić T. Miroljub, Lukić R. Jelena


Number of ECTS

Theoretical knowledge; Mastering the utilization of the appropriate electronic circuits and measurement methods.

Mastering the basic knowledge necessary for the measurement of the non-electrical quantites by the electric means.

Course outline

The basic measurement methods, the static and the dynamic characteristics. The measurement of the linear and the angular movements. The measurement of acceleration and vibrations. The measurement of force and torque. The measurement of pressure, level and flow. The measurement of temperature by the contact and the contactless methods. The measurement of humidity and pH value. Testing and calibration of sensors and measurement transducers used in the automotive industry.


Teaching; Auditory exercises; Laboratory exercises; Consultations.

Textbooks/referencesDragan Stanković, ''Fizičko tehnička merenja'', Naučna knjiga, Beograd, 1987.


John Webster, „The Measurement, Instrumentation and Sensors Handbook“, CRC Press, 1999.


Radenković N. DraganLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Pešić T. Miroljub, Jocić V. Aleksandar, Đorđević-Kozarov R. Jelena

Control SystemsBScMeasurement of Non-electrical Quantities



Course objectives

Course outcomes



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Number of ECTS

Upon completion of this course students will be able to formulate and solve control engineering tasks related to the most representative automotive systems using the control theory methodology.

Linear Vehicle Model. Nonlinear Vehicle Model. Design of model for ABS, ESP. Design of advanced control methods for automotive control systems. Simulation in Matlab and Simulink packages. Real-time experiments.

The aim of the course is to familiarise students with the control issues of the automotive subsystems that influence the general behaviour of the whole vehicle. The course will cover control system design and numerical simulation of automotive subsystems such as brake system, ride & handling systems, and power-train. The course concludes with students experimental researches on laboratory equipment.

Course outline

Introduction to vehicle control and basis of systems control engineering. Applications of dynamical control systems. Assistance systems in commercial vehicles. Development of control systems for automotive applications. Power steering (EPS, EHPS). Integrated vehicle (body) control. Suspension control. Introduction to traction and brake control (ESP, ESC, DSC, ABS). Advanced control algorithms (fuzzy, neural network, sliding mode) designed and applied in automotive applications.


Lectures; Auditory Exercises; Consultations

Textbooks/referencesA. Galip Ulsoy, Huei Peng, Melih Çakmakci, Automotive Control Systems , ISBN-13: 978-1-107-01011-6, April 30, 2012.


Jazar, Reza N., Vehicle Dynamics: Theory and Application , ISBN 978-0-387-74244-1, 2009.




Perić Lj. Staniša

Control SystemsBScControl Systems in Automotive Industry






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written exam 4030 oral exam 30


Control SystemsBSc


Tokić I. TeufikLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Stanković V. Vladimir, Simić S. Vladimir

2. http://cs.elfak.ni.ac.rs/nastava/mod/resource/view.php?id=693 , (Т. Toki, M. Stojcev)


Lectures. Auditory exercises. Projects. Laboratory exercises.



Simić S. Vladimir, Ćirić M. Vladimir

Microcomputer Systems


Number of ECTS

After this course, students will be able to design Microcomputer systems based on microprocessors and microcontrollers.

Examples of interfacing peripherals to a microprocessor system. Examples of specific projects based on the microprocessor described. Laboratory exercises on a development boards for Microchip PIC MCUs.

Introduce students to the current issues of design and programming of microcomputer system. Practical examples based on the microprocessor 8086 and microcontroller family PIC 16F8XX.

Course outlineArchitecture of Microcomputer systems. Buses of Microcomputer system. Architecture of microprocessors. Program Models 16-bit and 32-bit microprocessors. RISC processors. Organizing the inputs / outputs (Memory mapped I/O, Isolated I/O). Programmed input / output. Interrupt system. Direct memory access (DMA). Parallel I/O. Serial I/O. The standard serial interfaces (RS 232C, RS 485). Microcomputer on chip. Microcontrollers. Embedded processing, characteristics of embedded computers.

1. John b. Peatmann, Microcomputer-based design, McGraw-Hill, 1977


Course objectives

Course outcomes

Theoretical teachingPractical teaching (exercises, OFE, study

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Teaching methods


10 written exam50 oral exam 40

Developed and adopted a systematic approach to the usage of information technologies in order to increase effectiveness of complex systems, such as business systems. Practical skills needed for design, implementation and maintenance of information systems in modern business systems.

The acquisition of engineering skills and theoretical knowledge as well as the adoption of a systematic approach for improvement of business systems and other systems by information technology implementation.

Course outlineIntroduction: Overview of the application of Information Systems, Computer Science, Information Technology, Computer Science.The basic concepts of information systems: Information and data, Information structuring, Data and information processing and transmission, Communication, Interaction, Knowledge, System model, Business, economic, information and other systems.Information and Communication Technology: Computer Hardware, Computer software (operation systems, programming languages, databases), Computer Networking (ISO / OSI model, types of computer networks, computer network hardware, protocols and services computer networks), Internet and Intranet ( applications and protocols).The organizational aspects of information systems: Business organization, Business strategy, Competitive advantage, Innovation management, Business case and the importance of the information system ...Project Management: What is project management, Life cycle project management, Agile project management methodology.Analysis methods and design of information systems: The participants in the system, Business motives for modern information systems, Technological motives for modern information systems, The development of a simplified model of the system, The basic building blocks of information systems.Technology components of information systems: Databases, Data warehouses, Multi-layered system architecture, Internet and intranet systems, Communication bus in the system, Structured and semi-

Specification for the book of coursesElectrical Engineering and ComputingControl SystemsBScIntroduction to Information Systems

Textbooks/referencesCourse book in Serbian, Auxiliary coourse book in Serbian, Web site with materials for lectures and exercises, Books in English, Materials available on the Internet



Tošić B. MiloradLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Nejković M. ValentinaNejković M. Valentina


Number of ECTS

Lectures, Auditorial exercises, Laboratory exercises; Consultations, Independent students’ research; students’ oral presentation to the selected / given topics; Active students’ participation in the classroom using an interactive course Web site




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0

Control SystemsBScMeasurements in Ecology


Denić B. Dragan, Radenković N. DraganLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Lukić R. Jelena, Đorđević-Kozarov R. Jelena


Theoretical, practical, and writing the seminar paper. The practical exercises are demonstrative.

Textbooks/referencesD. Stanković: Fizičko tehnička merenja - senzori, Univerzitet u Beogradu, 1997.


J. Webster, The measurement, instrumentation and sensor handbook, CRC Press, 1999.



Number of ECTS

The capability to design and apply the measurement instruments and systems used for the measurements in ecology and for monitoring the environment.

Acquiring knowledge about measurements in ecology, the measurement methods and the measurement instrumentation.

Course outline

The quality systems for the working and the living environment. The ecological systems. The sources of harmfulness in the living, the working and the industrial environment. The measurement of the physical and the chemical parameters of water, air and soil. The modern measurement sensors and transducers. The anaysis of the gas and the substance composition. The measurement of radiation and the electromagnetic pollution. Noise and vibrations. The measurement of the microclimatic parameters. The meteorological parameters’ measurement. The meteorological measurement-information systems. The measurement systems for ecology monitoring and data gathering.


Course objectives

Course outcomes



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010

Control SystemsBScElectronic Measuring Instrumentation


Denić B. Dragan, Živanović B. DraganLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Dinčić R. Milan


Lectures; computational exercises, laboratory exercises; consultations.

Textbooks/referencesЈ.Webster, “The measurement, instrumentation, and sensors handbook”, CRC Press, 1999.


Šantić A. "Električna instrumentacija" Školska knjiga Zagreb 1988.P.H. Sydenham, "Handbook of Measurement Science", vol.1, John Wiley & Sons, 1982.

Coombs C.F., "Electronic Instrument Handbook", McGrow-Hill, USA, 1994.Lang, T.T., "Computerized Instrumentation", John Wiley & Sons, 1990.


Jocić V. Aleksandar, Dinčić R. Milan


Number of ECTS

Students will gain theoretical knowledge about modern measurement instrumentation. They will be able to use electronic instruments for measurements of parameters of signals and circuits.

Laboratory exercises with practical application of electronic measuring instruments.

Introduction with methods for processing of measurement signals. Understanding modern electronic measurement instruments and systems and their usage in laboratory work and in industrial applications.

Course outline

Basic characteristics of open and closed measurement systems. Analog and digital processing of measurement signals, measurement circuits and systems. Generators of measurement signals, waveforms and etalon signals. Analog and digital oscilloscopes. Analog and digital instruments for measurements of voltage, current and resistance. Instrumentation for measurement of frequency, phase and time interval. Instrumentation for measurement of parameters of electronic circuits and characteristics of signals and systems. Instrumentation in process industry. Virtual instrumentation and visualization of measurement process. Measurement and information systems.


Course outcomes



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0

Control SystemsBScMeasurement of Electrical Power Quality


Denić B. Dragan, Živanović B. DraganLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Simić M. Milan


Lectures (theoretical teaching) with graphical presentation of material in the form of slides. Practical teaching in the form of laboratory and demonstration exercises.Everyday consultations of students at teachers or associates. Individual work of students in the form of homework tasks and making of seminar papers.

Textbooks/referencesEwald F. Fuchs, Mohammad A.S. Masoum, “Power quality in power systems and electrical machines”, Elsevier Inc., 2008.


Barry W. Kennedy, “Power quality primer”, McGraw-Hill, 2000.C. Sankaran, “Power quality”, CRC Press, LLC, New York, 2002.

Roger C. Dugan, Mark F. McGranaghan, Surya Santoso, H. Wayne Beaty, “Electrical power systems quality, Second Edition”, McGraw-Hill, 2003.


Lukić R. Jelena


Number of ECTS

Training and capability of students for solving of practical problems from area of electrical power quality measurement, on the basis of good knowing of measurement methods and techniques, with proper use of modern devices and equipment for measurement of electrical power quality.

Laboratory and demonstration exercises: training of students for practical use of measurement methods and devices for measurement of electrical power quality parameters, over engagement on laboratory and demonstration exercises. According to instruction for work on laboratory exercises, students submit appropriate report about each completed laboratory exercise.

Education and introduction of students with basic theoretical and practical aspects of electrical power quality measurement.

Course outline

Definition of electrical power quality term. Basic measuring parameters and electrical power quality disturbances. Standards for measurement of electrical power quality. Measuring devices and equipment for measurement of electrical power quality. Methods and techniques for measurement of electrical power quality parameters. Methods and equipment for testing of devices for measurement of electrical power quality. Solution of acquisition system for testing of devices for measurement of electrical power quality, based on using of virtual instrumentation and LabVIEW software.





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34

5


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5 written examoral exam 40

4015

Control SystemsBScDiscrete Mathematics


Milovanović Ž. IgorLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Ranđelović M. Branislav


Lectures, oral exercise, homeworks.

Textbooks/referencesI. Ž Milovanović, E. I. Milovanović, Diskretna matematika, Univerzitet u Nišu, Elektronski fakultet, Niš, 2000.


J. A. Anderson, Diskretna matematika sa kombinatorikom, Računarski fakultet, Beograd, 2005.

D. Cvetković, S. Simić, Diskretna matematika, Prosveta, Niš, 1996. .

Ć. B. Dolićanin, I. Ž. Milovanović, E. I. Milovanović, DUNP, Novi Pazar, 2010.

I. Ž Milovanović, E. I. Milovanović, R. M. Stankovic, B. M. Randjelovic, Elementi diskretne matematike, VPS Blace, 2008.



Number of ECTS

Students should be qualified to apply knowledge in various areas of ingeneering.

Exercises are in accordance with theoretical teaching.

Introduce students to ideas and techniques from discrete mathematics that are widely used in science and engineering. This course teaches students how to think logically, and mathematically and applz these techniques in solving problems

Course outline

Mathematical lgics. Propositional calculus. Propositional functions. Coexistency and logical consequences. Normal forms. Sets. Representations. Operations on sets. Principle of sum. Principle of inclusion-exclusion. Partitive sets. Cartesian product. Principle of product. Relations. Matrix representations. Oredring relations. Equivalence relations.Lexicographical ordering. Functions. Principles of injection, surjection, bijection and complemet. Dirichlet principle. Sequences. Generatrisa functions. Recurrent sequences. Solving linear recurrente relations. Fibonacchi, Catalan and Stirling numbers. Finite differences and summs. Permanent. Computation and properties. Permanent matrix in special form. Sistems of different representatives. Integers. Divisibility. GCD. Euclid algorithm. Diophantine equations. Modular equations. Chinese remider theorem. Euler funtion. Litttle Ferma theorem. Modular arithmetics.




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345





Control SystemsBScThermovision


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


Jovanović D. Igor, Dimitrijević A. Marko




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



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


Jovanović D. Igor, Dimitrijević A. Marko


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.





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Nikolić S. Goran, Jovanović D. Borisav


Number of ECTS

Basic characteristics of sensors and data processing methods. Realization of data acquisition system.

Temperature measurement a) Thermocouple b) NTC resistor, measuring differential pressure, force measurement, analog and digital filtering, wireless data acquisition system for temperature.

Introduce students to the basic methods of acquisition of electrical and non-electrical quantities. Introduction to the basic components of the sensor processing problems and their signal. Understanding the basic principles of integration of the complete data acquisition system.

Course outlineDAS definition and basic structures. Data domens and measurement principles. Types of DAS. Sensors – analog signal transducers. Calibration and linearization techniques. Analog multiplexers, signal conditioning, operational amplifiers. Analog to digital conversion, digital to analog conversion – types and fundamental characteristics. User interfaces – keyboards and displays. Microcontrollers in DAS. Examples of DAS, DAS in vehicles.


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



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




Nikolić S. Goran, Jovanović D. Borisav

Control SystemsBScData Acquisition Systems





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2

3

45





Control SystemsBScModulation Techniques


Nikolić B. ZoricaLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Anastasov A. Jelena


Oral teaching in the classroom, laboratory exercises.

Textbooks/referencesZ. Nikolic: Spread spectrum systems performance (in Serbian), Faculty of Electronic Engineering Niš, 2006, Edition: Monographs


S. Glisic: Spread Spectrum Systems (in Serbian), Belgrade, 1981

I. Stojanovic: Fundamentals of telecommunications (in Serbian), Gradjevinska knjiga, Belgrade, 1977

Z. Nikolic, N.Stojanovic, D.Pokrajac, V. Smiljanic, N.Milosevic: Laboratory exercises for Basics of telecommunications and Digital telecommunications (in Serbian), Faculty of Electronic Engineering Niš, 1999

Z. Nikolic, N. Milosevic, B. Dimitrijevic: Multiplex signal transmission (in Serbian), Faculty of Electronic Engineering Niš, 2006, Edition: textbooks


Anastasov A. Jelena


Number of ECTS

Theoretical knowledge. Mastering the use of appropriate software simulation. Working on a DSP platform.

Computational and laboratory exercises are performed in the area of digital modulation, modulation with direct sequence and frequency hopping.

Acquiring the basic knowledge related to signal analysis and modulation techniques.

Course outline

Introduction. Shift keying (FSK, PSK, MSK, ASK, QAM). Multilevel modulation schemes. Pseudorandom carrier modulations. Pseudorandom sequences and their properties. Modulation with direct sequence (DS) and frequency hopping (FH). Principles of synchronization. Basic principles of OFDM technique. Synchronization and channel estimation in OFDM systems.



Course objectives

Course outcomes



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4010

Control SystemsBScWireless Communication SystemsMilovanović D. Bratislav, Marković V. Vera, Maleš-Ilić P. Nataša


Lectures. Auditory exercises. Laboratory work. Consultations.

Textbooks/referencesA. F. Molisch, Wireless Communications, John Wiley and Sons, 2006.


Stanković Ž. Zoran, Milijić R. Marija

Study programModuleType and level of studies

Lecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)

activity during lecturesexercises


Number of ECTS

Acquire knowledge of basic principles of information wireless transfer. Knowing the architecture of wireless communication systems. The ability to characterize and analyse the wireless communication systems.

colloquiaprojects

The name of the course

A. Hussain, Advanced RF Engineering for Wireless Systems and Networks, John Wiley & Sons, Inc., 2005.

V. Marković, B. Milovanović, N. Dončov, Z Stanković, Mikrotalasni telekomunikacioni sistemi, Elektronski fakultet- Niš, 2006.

Stanković Ž. Zoran, Milijić R. Marija

Auditory exercises: solving practical problems related to the transmission of signals over the air, and analysis of components of wireless systems. Labs: Characterization of wireless system components by measurements and analysis of the components by software tools.

Acquiring theoretical and practical knowledge of wireless transmission of information and communication systems.

Course outlineTypes of wireless communication systems. Frequency plan. EM radiation. Antennas. The parameters of the antenna. Propagation of electromagnetic waves through the atmosphere. Friss transmission equation. Tropospheric refraction. Reflections from the ground. Diffraction effects. Fresnel zone. Absorption and scattering in the atmosphere. Fading - types, causes, mitigation of this phenomenon on the link. Thermal noise, equivalent noise temperature, noise figure. Fixed microwave links. Microwave link budget. Multiple path propagation. Typical examples of wireless communication systems.


Course outcomes



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4010


Number of ECTS

The adopted knowledge should help students of electronics to identify the theory of engineering issues; to analyze problems of professional ethics in engineering; to adopt moral responsibility in forming credibility of profession as a moral resource in work and the aspects of ethical behavior in the era of digital revolution.

Acquiring knowledge on the mechanism of gaining moral and values in a legal system.

Course outline

Engineering, engineerng ethics and the relevance of ethics in technics and society. Ethical education of engineers. Assumptions of engineering ethics. Social norms, moral and law. Ethical aspect of team work. Ethical codex and engineering moral practice. Forming engineering ethics and moral responsibility. Tesla's engineering ethics. Ethical codex of IEEE members.


Lectures, consultations

Textbooks/referencesПитер Сингер (прир.) : Увод у етику, Издавачка књижарница Зорана Стојановића Сремски Карловци, Нови Сад, 2004.


Ђорђевић Д. Б. и Б. Ђуровић, Професионална етика инжењера, Машински факултет, Ниш, 2011.




Control SystemsBScEngineering Ethics



Course outcomes



12

3

4

5


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2020

Control SystemsBScIntroduction to Robotics


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


Todorović Z. Darko, Petković P. Miloš


Lecture notes and slides (to be posted on the web page of the Faculty). Auditory lectures and demonstrations.

Textbooks/referencesLecture notes and slides (to be posted on the web page of the Faculty)


Thomas R. Kurfess, Robotics and Automation Handbook, CRC Press, 2004, ISBN: 0849318041.

B. Borovac, G.S. Đorđević, M. Rašić, D. Andrić, Robotics Workbook , Novi Sad, Niš, 2002, internet edition.

B. Borovac, G.S. Đorđević, M. Rašić, M. Raković, Industry Robotics , book in printing phase.



Number of ECTS

The concept of robotics and problems. Mathematical foundations of robotics. The main components of robot. The organization of robot as a system. Robot control. Programming and application of robots.

Introduction to the basic issues of modern industrial robotics and applications of industrial robots.

Course outline

The geometry of robot. Kinematic model of robot. Differential kinematics. Robot drive systems. Electric, hydraulic and pneumatic drive. Systems for transmission of driving torque. Robot dynamics. Model of the robot dynamics. Analysis of modeled and non-modeled effects. Simulation of the robot. Trajectory planning. Synthesis of trajectories in the internal and external coordinates. Sensors in robotics. Executive bodies of the robot. Control in the internal coordinates. Control in the external coordinates. Inverse kinematic and dynamic control. Position and power control. Intelligent management. Planning activities. Functional architecture of the control system. The application of robots. The introduction of robots in manufacturing. Service robots. Automatic guided vehicles. Robots in service, medical and cosmic applications.




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Control SystemsBScSCADA Systems


Jovanović D. Zoran, Milojković T. MarkoLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Spasić D. Miodrag



Textbooks/referencesS. Boyer, SCADA (Supervisory Control and Data Aquisition) , ISA 1999



Spasić D. Miodrag


Number of ECTS

Knowledge of the implementation of SCADA systems and solving practical problems in industry and distributed systems within control and supervisory area.

Software instaltaion and activation - CitectSCADA. Concept of the project (user levels, project compiling and runing, project informations,...). Concept of the Page-CitectSCADA. Concept of the tag. Objects. Creating and editting of graphical and control objects (Free Hand Line, Straight Line, Rectangle, Elipse, Polygon, Pipe, Text, Number, Button, Symbol Set, Trend i Cicode). Editting of graphical objects (Appearance, Movement, Scaling, Fill, Input, Slider, Access, Display Value, Visibility) Alarm types. Alarm subtypes. Alarm tag definition. Animation of project elements. Concept of claster. Claster data definition. Concept of the Server. Server data definition. User data definition. Cicode editor. Cicode functions. Cicode scripts. Paterns. Patern customisation. Examples. Project.

The course provides theoretic and practice foundation and skills in design and implementation of SCADA systems and their use in control of industrial processes.

Course outline

Introduction to SCADA systems. Definition and elements of SCADA systems. Historical development of SCADA systems. Real-time operating systems. Remote control systems. Communication within SCADA systems. Telemetry within SCADA systems. Control with SCADA systems. Sensors, actuators and communication. SCADA systems in automotive industry. SCADA user interface. Profitability of SCADA systems. Implementation of SCADA systems. SCADA systems applications. Examples.


Course objectives

Course outcomes



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Miljković S. Goran, Jocić V. Aleksandar

BScComputer Based Industrial Measurement Systems


Control Systems

Denić B. DraganLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Introduction to computer based measurement systems; basic block diagrams of one- and multi-channel measurement systems; measurements signals multiplexing; transducers and sensors in modern industrial measurement systems; development trends of sensors; integrated and smart sensors; intelligent measurement modules; measurement signal and data transmission; signal conditioning circuits; two-wire transmitters; methods and systems for signal-to-noise ratio improvement; standard communication interfaces; explosion-proof instruments; grounding and shielding in automotive measurement systems, distributed measurement systems and connection to the Internet; automotive applications of telemetry systems; virtual instrumentation and LabVIEW software; industrial telemetry systems; display, recording and presentation of measurement data.


Theoretical teaching is performed with modern presentation devices and with using of free scrypt material. Practical training is performed in computer equipped laboratory.

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


D. Živanović, D. Denić, G. Miljković, „Računarski merno-informacioni sistemi u industriji - praktikum za laboratorijske vežbe“, Elektronski fakultet u Nišu, 2011.

W. Nawrocki, „Measurement systems and sensors“, Artech House, 2005.

V. Drndarević, „Akvizicija mernih podataka pomoću personalnog računara“, Institut za nuklearne nauke „Vinča“, Beograd, 1999.


Miljković S. Goran, Stojković S. Ivana, Jocić V. Aleksandar


Number of ECTS

The student will be trained to realize and apply electronic circuits for measurement signal processing and sensors connection to the computer. Based on learning of programming language LabVIEW basics, the students will be trained to connect sensors using modern interface circuits and to realise some simpler examples of virtual instruments. The students will be capable to define basic characteristics and to work with modern industrial computer based measurement systems.

Introduction with programming language LabVIEW basics. Realisation of laboratory excersises in form of concrete virtual instruments realisation for measurement of temperature, impedance parameters, AD converters characteristics.

The goal of the course is introduction with modern industrial computer based systems. Also, covering of needed knowledge about connection methods of classical and intelligent sensors with computer, and the realisation of virtual instruments and possibility of connection of such measurement systems to the Internet.

Course outline

Specification for the book of courses - University of Niš · PDF file6 Course status (obligatory/elective) obligatory Prerequisites Course objectives Course outcomes Theoretical teaching

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