In the Study Program Control Systems, master engineers are qualified to create, design, and realize modern control systems, as well as to apply computer and measurement techniques in complex technological processes control. The contents of courses are such that they upgrade acquired knowledge in the field of control systems and they are generally to do with courses which cover advanced topics. After completion of all courses, a student starts with elaboration of Master thesis, worth 15 ECTS credits.
Value of each course is expressed in accordance with the European system of credit transfer (ECTS).
Master studies at the Faculty of Electronic Engineering last two semesters (one year) during which students gain 60 ECTS credits at least.
The condition for enrollment in the Study Program implies completed undergraduate studies with at least 240 ECTS credits gained, in the field of Electrical Engineering and Computing.
The total number of points necessary for acquiring the academic title of a Master Engineer is 300 ECTS credits.
After the completion of this study program, a student acquires the title of a Master Engineer of Electrical Engineering and Computing.
The Master Study Program Control Systems is conducted at the Faculty of Electronic Engineering and it has two modules:
Value of each course is expressed in accordance with the European system of credit transfer (ECTS).
Master studies at the Faculty of Electronic Engineering last two semesters (one year) during which students gain 60 ECTS credits at least.
The condition for enrollment in the Study Program implies completed undergraduate studies with at least 240 ECTS credits gained, in the field of Electrical Engineering and Computing.
The total number of points necessary for acquiring the academic title of a Master Engineer is 300 ECTS credits.
After the completion of this study program, a student acquires the title of a Master Engineer of Electrical Engineering and Computing.
The Master Study Program Control Systems is conducted at the Faculty of Electronic Engineering and it has two modules:
- Automatic Control (AC) and
- Computer Control Systems and Measurement Techniques (CCSMT)
Master Engineer of Electrical Engineering and Computing
0
ECTS
0
Year
1. Semester
Obligatory for both modules
The name of the course: Computer Control Systems
Code: 3MUZ1O01
Number of classes per week:
Code: 3MUZ1O01
Number of classes per week:
- Lectures: 2
- Exercises: 2
ECTS: 5
Course outline:Problems of managing complex technological processes. Centralized management. Distributed management. Hierarchical management. Select real-time PCs. Input output devices. Real-time system software support. Merging computers with technological processes. Application of microcomputers in the design and implementation of control systems. Application of the PLC system in process management. Application of computers in the process industry, in the management of machine tools and in the management of utility systems.
Specification for the book of courses
Specification for the book of courses
The name of the course: Intelligent Systems
Code: 3MUZ1O02
Number of classes per week:
Code: 3MUZ1O02
Number of classes per week:
- Lectures: 2
- Exercises: 2
- OFE: 1
ECTS: 6
Course outline:Introduction to intelligent agents and intelligent systems. Basics of Industry 4.0. Working with large databases. Advanced machine learning techniques (decision tree, random forest, k nearest neighbors, naive bayes, linear and logistic regression, support vector machine). Application of advanced techniques of machine learning in the analysis, synthesis and optimization of industrial processes. Calculations in the cloud. Introduction to the current problems and possible solutions for the practical implementation and application of intelligent systems.
Specification for the book of courses
Specification for the book of courses
The name of the course: Electrical Drive Control
Code: 3MUZ1O03
Number of classes per week:
Code: 3MUZ1O03
Number of classes per week:
- Lectures: 2
- Exercises: 2
ECTS: 5
Course outline:Definition, significance, application and types of regulated electrical drives. Mechanics of electrical drives (ED). ED kinematics with examples. Generalized model of motor. The regimes of energy transformation. The coordinate transformations. Electromechanical characteristics of motor. DC motors, asynchronous and synchronous motors, step motors. Dynamic characteristics of electromechanical systems. Regulation of electrical drive coordinates (moment, current, speed, position). System: controlled power converter – electrical drive. Typical structures of controlled electrical drive. Methods for design of electrical drive control. Classical methods. Modern methods. Control of a DC motor using linear controllers. The selection of the type of linear controller and its parameters tuning. Control of asynchronous motor. Frequency control of asynchronous motor speed. The principle of field-oriented vector control. Design of identity observer. Control based on state space coordinates.
Specification for the book of courses
Specification for the book of courses
The name of the course: Professional Practice
Code: 3MUZ1O04
Number of classes per week:
Code: 3MUZ1O04
Number of classes per week:
- Lectures: 0
- Exercises: 0
- Other classes: 6
ECTS: 3
Course outline:Improving students' ability to get involved in the work process upon completion of studies. Developing responsibility, professional approach to work, communication skills in the team.Complementing the theoretical knowledge acquired within the study program and practical knowledge of the issues that are being studied in the course of studies that the student attends. Using the experience of professionals working in an institution where the practice is carried out to expand the practical knowledge and motivation of students. To gain a clear insight into the possibility of applying the acquired knowledge and skills covered by the study program in practice.
Specification for the book of courses
Specification for the book of courses
The name of the course: Study and Research Work
Code: 3MUZ1OSR
Number of classes per week:
Code: 3MUZ1OSR
Number of classes per week:
- Lectures: 0
- Exercises: 0
- Study and research work: 6
ECTS: 3
Course outline:It is formed individually in accordance with the needs of a concrete graduate-master work, its complexity and structure. According to his affinities and preferences, the student chooses the field of study work or the subject teacher from the list of teachers in the study program, which defines the specific task. The student studies professional literature, professional and scientific papers dealing with similar topics, performs analyzes in order to find a solution for a concrete task, or perform certain experiments in the laboratory. The study includes active monitoring of primary knowledge, organization and performance of experiments, numerical simulations and statistical data processing, preparation of seminar work from the narrow scientific-scientific field, which is the topic of independent research work.
Specification for the book of courses
Specification for the book of courses
Elective Block 1 for module AC (1 out of 2)
The name of the course: Intelligent machines
Code: 3MUA1A01
Number of classes per week:
Code: 3MUA1A01
Number of classes per week:
- Lectures: 2
- Exercises: 2
ECTS: 5
Course outline:Definitions of intelligent systems and subsystems. Definition of mechanical intelligence. Intelligence in decision-making. Differences between natural systems and machines. Movement and manipulation as the basis for the development of intelligence. Design principle of functional imitation of existing natural solutions. Biomimetics. Functional robustness of mechanical solutions for sake of control simplicity. Intelligent drive as a functional copy of the natural techniques of motion. Actuators with integrated sensors and controllers as the simplest way of control. Methods and techniques of modeling by interactions. Parametric and non-parametric models. Design of controller with the integrated model. Examples of intelligent machines, with an emphasis on walking, grasping, verbal, non-verbal and physical interaction with humans and the environment.
Specification for the book of courses
Specification for the book of courses
The name of the course: Methods of digital control and estimation
Code: 3MUA1A02
Number of classes per week:
Code: 3MUA1A02
Number of classes per week:
- Lectures: 2
- Exercises: 2
ECTS: 5
Course outline:Review of the mathematical background and digital systems analysis in z-domain. Linear digital systems frequency response. Bilinear transformation. Bode plots. Digital compensators design in z- and frequency domain. State space approach. Controllability and observability. Canonical state space forms. State feedback control and pole placement method. Ackerman formula. Deadbeat response. State variables estimation. Linear digital state observers and their design. Elements of the theory of stochastic processes. State estimation in uncertain control systems. Kalman filter.
Specification for the book of courses
Specification for the book of courses
Elective Block 2 for module AC (1 out of 5)
The name of the course: Flexible Production Systems
Code: 3МUА1B01
Number of classes per week:
Code: 3МUА1B01
Number of classes per week:
- Lectures: 2
- Exercises: 2
ECTS: 5
Course outline:Introduction to industrial production. What are production lines, methods of production, continuous production, flexible manufacturing systems. Types of flexibility and flexible manufacturing systems. Management of flexible manufacturing systems. Detailed example of a flexible manufacturing system. Production process and reduction of waste. Review on the quality system. Quality assurance and control, tolerance. Standard components, what are they and why use them in the development and manufacture. Complexes of standard components. Development of existing products. Packing, function of packing, packaging materials.
Specification for the book of courses
Specification for the book of courses
The name of the course: Methods of Optimization
Code: 3МUА1B02
Number of classes per week:
Code: 3МUА1B02
Number of classes per week:
- Lectures: 2
- Exercises: 2
ECTS: 5
Course outline:Defining the general optimization problem. Theoretical basis of optimization. Elements of convex analysis. Linear programming. Duality. Simplex method. Nonlinear programming. Unconstrained optimization. Searching methods. Gradient methods. Constrained optimization. Kuhn-Tucker conditions. Lagrange multipliers method. Penalty functions methods. Quadratic programming. Basis of multiobjective optimization. Overview of heuristic methods.
Specification for the book of courses
Specification for the book of courses
The name of the course: Adaptive Signal Processing
Code: 3МUА1B03
Number of classes per week:
Code: 3МUА1B03
Number of classes per week:
- Lectures: 2
- Exercises: 2
- other forms of teaching: 1
ECTS: 5
Course outline:Least-squares approximation. Correlation. Discrete Fourier transform. Random signals. Spectral estimation. Power density spectrum. Signal energy. Properties of the power spectrum. Power spectral estimation. Wiener filter. Kalman filter. Least-squares system design. Linear predictor realization. System identification. Channel equalization. Interference canceling. Adaptive notch filters. МSE function. Covariance. Convergence time constants. Ideal condition convergence. Steepest-descent algorithm. LMS algorithm. Modified LMS algorithms. RLS algorithm. Measures of adaptive system performance. Learning curve.
Specification for the book of courses
Specification for the book of courses
The name of the course: Telemetry
Code: 3МUА1B04
Number of classes per week:
Code: 3МUА1B04
Number of classes per week:
- Lectures: 2
- Exercises: 1
- other forms of teaching: 1
ECTS: 5
Course outline:Basic terms and definitions; pneumatic telemetry systems; analog telemetry systems, frequency and pulse-width modulation; transmitters; two-wire transmitters, serial and parallel power sources; analysis of concrete two-wire transmitter examples, analogue and digital telemetry systems; delta modulation; digital telemetry systems; FSK (frequency-shift keying) modulation; pulse code modulation (PCM); digital transmitters; digital two-wire transmitters; universal asynchronous receiver-transmitter; computer based telemetry systems; standard interface systems; modems; automotive telemetry systems; fiber-optic telemetry systems; industrial telemetry systems, biotelemetry, virtual instrumentation and Internet in telemetry systems; connection of distant measurement systems, distributed virtual laboratories; telemetry system testing; telemetry standards; the basic principles of Internet of Things technology and its applications in telemetry systems.
Specification for the book of courses
Specification for the book of courses
The name of the course: Embedded Systems
Code: 3МUА1B05
Number of classes per week:
Code: 3МUА1B05
Number of classes per week:
- Lectures: 2
- Exercises: 2
Definition, characteristics and categories of embedded systems. Integrated hardware and software aspects of the embeded processor architecture. Designing an embeded system using formal models and methods, as a computer-based synthesis method. Architecture (based on modern 32/64-bit embeded processors) and components of embeded systems. Hardware-software interfaces, memory architectures, buses. Embeded operating systems. Concurrentness (software and hardware interrupts, timers). Real-time operation principles (multitasking, task scheduling, synchronization). Device driver development. Designing embeded software (handling exceptions, loading, changing operation mode, embeded programming), implementation and debugging. Profiling and code optimization. Designing an low power embedded system.
Specification for the book of courses
Specification for the book of courses
Elective Block 1 for module CCSMT (1 out of 2)
The name of the course: Computer Systems for Measurement and Control
Code: 3МUR1А01
Number of classes per week:
Code: 3МUR1А01
Number of classes per week:
- Lectures: 2
- Exercises: 1
- Other forms of teaching: 1
ECTS: 5
Course outline:Measurement of non-electrical quantities. Connection of sensors, measurement transducers and actuators with computer. Hardware structure of computer-based measurement systems. Standard interface systems for measurement techniques. SCADA systems. Distributed measurement systems. Components of distributed systems. Inteligent measurement transducers. Hardware and software techniques of compensation of measurement results. Inteligent sensors in cars. Electrical isolation in measurement systems. Protocols of industrial networks. Protocols for inteligent sensors in cars. Wireless sensor networks. Virtual instrumentation and virtual laboratories. Examples of practical implementation of computer-based measurement systems. Real-time work. Software design. Internet connection. Calibration of computer-based measurement devices and systems. Automatic test systems. Measurement systems for car testing.
Specification for the book of courses
Specification for the book of courses
The name of the course: Design of Microcomputer Measurement Instruments
Code: 3МУР1А02
Number of classes per week:
Code: 3МУР1А02
Number of classes per week:
- Lectures: 2
- Exercises: 1
- Other forms of teaching:1
ECTS: 5
Course outline:Architecture of microprocessors, microcomputers and DSP. Input-output devices. Analog circuits of measurement instruments. Analog to digital conversion in measurement instruments. Measurement of time and frequency in microcomputer devices. Designing of hardware of microcomputer devices. Examples of practical implementations of microcomputer instruments. Real time work. Software designing. Virtual instruments. Testing in the phase of development of microcomputer devices.
Specification for the book of courses
Specification for the book of courses
Elective Block 2 for module CCSMT (1 out of 8)
The name of the course: Methods of Digital Control and Estimation
Code: 3МUR1B01
Number of classes per week:
Code: 3МUR1B01
Number of classes per week:
- Lectures: 2
- Exercises: 2
ECTS: 5
Course outline:Review of the mathematical background and digital systems analysis in z-domain. Linear digital systems frequency response. Bilinear transformation. Bode plots. Digital compensators design in z- and frequency domain. State space approach. Controllability and observability. Canonical state space forms. State feedback control and pole placement method. Ackerman formula. Deadbeat response. State variables estimation. Linear digital state observers and their design. Elements of the theory of stochastic processes. State estimation in uncertain control systems. Kalman filter.
Specification for the book of courses
Specification for the book of courses
The name of the course: Modelling and Simulation in Automotive Industry
Code: 3МUR1B02
Number of classes per week:
Code: 3МUR1B02
Number of classes per week:
- Lectures: 2
- Exercises: 2
ECTS: 5
Course outline:Introduction to the basic mathematical and mechanics concepts relevant for analyzing vehicle dynamics. Modelling and simulation of vehicle subsystems: tire; steering; suspension; gearbox; engine. Modelling and simulation of vehicle ride: vehicle/driver motions; vehicle vibration (frequency, dumping); suspension behavior of quarter car model, design and practical issues (springs, dumpers); road surface inputs and human response. Modelling and simulation of vehicle handling: understeer and oversteer; modelling and simulation of tires, their force and moment behavior. Modelling and simulation of ABS, ESP. Graphical methods of vehicle modeling. Case studies of modelling and simulation of vehicle ride and handling.
Specification for the book of courses
Specification for the book of courses
The name of the course: Adaptive Signal Processing
Code: 3МUR1B03
Number of classes per week:
Code: 3МUR1B03
Number of classes per week:
- Lectures: 2
- Exercises: 2
- Other forms of teaching 1
ECTS: 5
Градиво:Least-squares approximation. Correlation. Discrete Fourier transform. Random signals. Spectral estimation. Power density spectrum. Signal energy. Properties of the power spectrum. Power spectral estimation. Wiener filter. Kalman filter. Least-squares system design. Linear predictor realization. System identification. Channel equalization. Interference canceling. Adaptive notch filters. МSE function. Covariance. Convergence time constants. Ideal condition convergence. Steepest-descent algorithm. LMS algorithm. Modified LMS algorithms. RLS algorithm. Measures of adaptive system performance. Learning curve.
Specification for the book of courses
Specification for the book of courses
The name of the course: Geographic Information Systems
Code: 3МUR1B04
Number of classes per week:
Code: 3МUR1B04
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Introduction to geographic information systems (GIS). Geographic and cartographic foundations of GIS. Architecture and design GIS-a. Methods and systems for positioning. Satellite systems for global positioning - GPS (Global Positioning System). System for positioning based on wireless networks in indoor environment. Geospatial data models. Geospatial data representations and algorithms for processing. Index structures and access methods. Spatial databases. GIS architecture and design. Geo-visualization and GIS interfaces. Methods and algorithms for geospatial data analysis. Time in GIS and spatio-temporal data management. Processing and analysis of Big geospatial data. Specification and standards in geospatial and GIS domains (OGC, ISO TC 211, etc.). Web GIS and distributed GI services. Mobile GIS and location-based services.
Specification for the book of courses
Specification for the book of courses
The name of the course: Embedded Systems
Code: 3МUR1B05
Number of classes per week:
Code: 3МUR1B05
Number of classes per week:
- Lectures: 2
- Exercises:2
ЕСПБ: 5
Course outline:Definition, characteristics and categories of embedded systems. Integrated hardware and software aspects of the embeded processor architecture. Designing an embeded system using formal models and methods, as a computer-based synthesis method. Architecture (based on modern 32/64-bit embeded processors) and components of embeded systems. Hardware-software interfaces, memory architectures, buses. Embeded operating systems. Concurrentness (software and hardware interrupts, timers). Real-time operation principles (multitasking, task scheduling, synchronization). Device driver development. Designing embeded software (handling exceptions, loading, changing operation mode, embeded programming), implementation and debugging. Profiling and code optimization. Designing an low power embedded system.
Specification for the book of courses
Specification for the book of courses
The name of the course: Computer Animation
Code: 3МUR1B06
Number of classes per week:
Code: 3МUR1B06
Number of classes per week:
- Lectures:2
- Exercises:1
ECTS: 4
Course outline:Algorithms and programming techniques of computer animation. Algorithms and approaches to behavior animation and animation based on object physics. 2D and 3D animation. Sprites. Key Frame Technique. Animation of the face and mimics. Direct and inverse kinematics. Capture the movement. Animation in video games. Animation of the particle system. Clothing animation.
Specification for the book of courses
Specification for the book of courses
The name of the course: Wireless Sensors and Sensor Networks
Code: 3МУР1Б07
Number of classes per week:
Code: 3МУР1Б07
Number of classes per week:
- Lectures: 2
- Exercises:1
- Other forms of teaching: 1
ECTS: 5
Course outline:Working principles of basic sensor types in wireless sensor networks. Intelligent wireless sensors. Definition, principle of operation and architecture of wireless sensor networks. Data acquisition using wireless sensors and sensor networks. Data processing and compression in wireless sensors and sensor networks. Protocols in wireless sensor networks. Application of wireless sensors and sensor networks in industry, military, construction, medicine, seismology, biology, agrosystems, etc. Hardware-software platform for realization of wireless sensor networks. Connecting wireless sensor networks to IoT systems.
Specification for the book of courses
Specification for the book of courses
The name of the course: Telemetry
Code: 3МUR1B08
Number of classes per week:
Code: 3МUR1B08
Number of classes per week:
- Lectures: 2
- Exercises: 1
- Other forms of teaching: 1
ECTS: 5
Course outline:Basic terms and definitions; pneumatic telemetry systems; analog telemetry systems, frequency and pulse-width modulation; transmitters; two-wire transmitters, serial and parallel power sources; analysis of concrete two-wire transmitter examples, analogue and digital telemetry systems; delta modulation; digital telemetry systems; FSK (frequency-shift keying) modulation; pulse code modulation (PCM); digital transmitters; digital two-wire transmitters; universal asynchronous receiver-transmitter; computer based telemetry systems; standard interface systems; modems; automotive telemetry systems; fiber-optic telemetry systems; industrial telemetry systems, biotelemetry, virtual instrumentation and Internet in telemetry systems; connection of distant measurement systems, distributed virtual laboratories; telemetry system testing; telemetry standards; the basic principles of Internet of Things technology and its applications in telemetry systems.
Specification for the book of courses
Specification for the book of courses
2. Semester
Elective Block 3 for module AC (1 out of 2)
The name of the course: Control of Large-scale Systems
Code: 3МUА2A01
Number of classes per week:
Code: 3МUА2A01
Number of classes per week:
- Lectures: 2
- Exercises: 2
ECTS: 5
Course outline:Control systems with centralized information and control structure. Multivariable control systems. The generalization of the classical methods for the synthesis of a multivariable control systems. Robustness of multivariable systems. Linear quadratic and linear Gaussian quadratic controller. Robustness of control systems with linear quadratic regulator. Control systems with decentralized information and control structure. Control of large-scale dynamical systems with decentralized information and control structure. Robustness of large-scale dynamical systems with decentralized information and control structure. Generalization and application of the results of the robustness of decentralized systems. Modern concepts in the design of control systems of technological processes.
Specification for the book of courses
Specification for the book of courses
The name of the course:Predictive Control
Code: 3МUА2A02
Number of classes per week:
Code: 3МUА2A02
Number of classes per week:
- Lectures: 2
- Exercises: 2
ECTS: 5
Course outline:Introduction to model predictive control (MPC). Models and modeling. Linear dynamic models. Input-output models. Discrete models. Constraints. Linear quadratic regulator. Optimizing multistage function. Dynamic programming. Controllability. State estimation. Linear systems and normal distribution. Discrete-time MPC. State-space models with embedded integrator. Predictive control within one optimization window. Receding horizon control. Predictive control of MIMO systems. State estimation in predictive control. Discrete-time MPC with constraints. Discrete-time MPC using Laguerre functions (DMPC). Continuous-time MPC. Model structures for continuous-time MPC design. MPC using finite prediction horizon. Optimal control strategy. Continuous-time MPC with constraints. Formulating of constraints. Numerical solutions for the constrained control problem. Real-time implementation of continuous-time MPC. MPC systems in state space formulation.
Specification for the book of courses
Specification for the book of courses
Elective Block 3 for module AC (1 out of 4)
The name of the course: Hydraulic and Pneumatic Control Systems
Code: 3МUА2B01
Number of classes per week:
Code: 3МUА2B01
Number of classes per week:
- Lectures: 2
- Exercises: 2
ECTS: 5
Course outline:Hydraulic drive. Hydraulic actuators, pumps and motors. Hydraulic control elements. Elements of the data transfer. Electro-hydraulic servo valves and electrohydraulic servomechanisms. Control concepts for hydraulic control systems. Methods for the analysis of electrohydraulic control systems. Nonlinearities in the hydraulic control system. Analysis of specific cases. Features of the air. Providing pressure, transmission and control. Pneumatic valves, compressors, pneumatic cylinders and motors, pneumatic drive. Pneumatic control techniques. Fluid logic. Fluid amplifiers.
Specification for the book of courses
Specification for the book of courses
The name of the course: Electromedical Instrumentation
Code: 3МUА2B02
Number of classes per week:
Code: 3МUА2B02
Number of classes per week:
- Lectures: 2
- Exercises: 1
- Other forms of teaching: 1
ECTS: 5
Course outline:Cell as a source of bioelectric potential. Electrodes for measuring biopotentials. Instruments for registering EMG, ECG and EEG signals. Devices for electrostimulation and electrotherapy. Pacemakers and defibrillators. Instruments for the formation of a medical image based on electromagnetic radiation and on the basis of nuclear magnetic resonance. Other electromedical instruments.
Specification for the book of courses
Specification for the book of courses
The name of the course: Fourier Analysis and Applications
Code: 3МUА2B03
Number of classes per week:
Code: 3МUА2B03
Number of classes per week:
- Lectures: 2
- Exercises: 2
ECTS: 5
Course outline:Fourier series. Analysis of convergence. Fourier integral, Fourier transform, inverse Fourier transform.Characteristics of the Fourier transform. Distributions.Convolution and correlation. Discrete Fourier transform.Fast Fourier transform and Cooley-Tukey algorithm. Cosinous Fourier transform.Multidimensional Fourier transform. Analysis of linear systems.Window functions. Applications in solving practical engineering and scientific problems.
Specification for the book of courses
Specification for the book of courses
The name of the course: Modern Control of Industrial Processes
Code: 3МUА2B04
Number of classes per week:
Code: 3МUА2B04
Number of classes per week:
- Lectures: 2
- Exercises:1
- Other forms of teaching: 1
ECTS: 5
Course outline:Industry 4.0. Cyber-physical environment for smart production. Virtual reality in the industry. Examples of applications of expanded reality in production. Additive production. 3D printing - preparation and realization of 3D models. Industrial Internet of Things (IIoT). Examples of IIoT applications. Network protocols and standards for the implementation of the IIoT system. Architecture of the IIoT system. Blockchain technology. Using blockchain technologies in the industry. Development of blockchain applications.
Specification for the book of courses
Specification for the book of courses
Elective Block 2 for module CCSMT (1 out of 4)
The name of the course: Sensors and Transducers in Vehicles
Code: 3МUR2А01
Number of classes per week:
Code: 3МUR2А01
Number of classes per week:
- Lectures: 2
- Exercises: 1
- Other forms of teaching: 1
ECTS: 5
Course outline:Types of sensors in vehicles, development trends, manufacturing technologies, MEMS sensors, GMP sensors. Functional, safety and control sensors in cars. Position sensors, force and moment sensors, pressure sensors, flow meters, temperature sensors, gas sensors and concentration sensors. Actuators in cars. Processing of sensor signals. Data exchange between automotive electronic systems. Connecting the sensors and actuators to the central computer system in the vehicle. The main requirements and directions of the development of sensors and actuators in the automotive industry. Sensors in autonomous and electrical vehicles.
Specification for the book of courses
Specification for the book of courses
The name of the course: Sensors and Transducers in Control and Robotics
Code: 3МUR2А02
Number of classes per week:
Code: 3МUR2А02
Number of classes per week:
- Lectures: 2
- Exercises: 1
- Other forms of teaching: 1
ECTS: 5
Course outline:Importance and types of sensors in control and robotics. Trends in the development of sensors in robotics. Sensor technologies. Proximity sensors. Sensors of force and moment. Tactile sensors. Sensors of robotic vision. Sensors of ultrasonic vision. Navigation sensors and gyroscopes. Multisensor robotic systems. Integration of the sensors into the control system.
Specification for the book of courses
Specification for the book of courses
The name of the course: Modern Sensor Technologies and Systems
Code: 3МUR2А03
Number of classes per week:
Code: 3МUR2А03
Number of classes per week:
- Lectures: 2
- Exercises 1
- Other forms of teaching: 1
ECTS: 5
Course outline:Characteristics, technology of production, principles of operation and applications of MEMS sensors and optical fiber sensors. Characteristics, applications and hardware-software technologies for the implementation of the IoT system. Characteristics and communication technologies for realization of wireless sensor systems. Measurement of the vibration signal. Application of vibration signals in predictive maintenance in industry. Hardware-software platforms for the implementation of sensor systems (Arduino, Raspberry Pi, LabVIEW, FPGA).
Specification for the book of courses
Specification for the book of courses
The name of the course: Virtual Measurement Instrumentation
Code: 3МUR2А04
Number of classes per week:
Code: 3МUR2А04
Number of classes per week:
- Lectures: 2
- Exercises: 1
- Other forms of teaching 1
ECTS: 5
Course outline:Hardware of virtual instruments. Types of acquisition modules, characteristics. Programming language LabVIEW, concept and basic techniques. Front panel, block diagram, functions palettes. Data stream and parallel execution of code segments. Signal analysis. Reduction of measurement errors in virtual instruments. Linearisation, compensation of influential quantities, calibration. Advanced data presentation. Serial communication with separated instruments. Connection of sensors and actuators. Examples for specific implementations of measuring systems.
Specification for the book of courses
Specification for the book of courses
Elective Block 2 for module CCSMT (1 out of 5)
The name of the course: Control of Large-scale Systems
Code: 3MUR2B01
Number of classes per week:
Code: 3MUR2B01
Number of classes per week:
- Lectures: 2
- Exercises: 2
ECTS: 5
Course outline:Control systems with centralized information and control structure. Multivariable control systems. The generalization of the classical methods for the synthesis of a multivariable control systems. Robustness of multivariable systems. Linear quadratic and linear Gaussian quadratic controller. Robustness of control systems with linear quadratic regulator. Control systems with decentralized information and control structure. Control of large-scale dynamical systems with decentralized information and control structure. Robustness of large-scale dynamical systems with decentralized information and control structure. Generalization and application of the results of the robustness of decentralized systems. Modern concepts in the design of control systems of technological processes.
Specification for the book of courses
Specification for the book of courses
The name of the course: Control Systems in Vehicles
Code: 3МUR2B02
Number of classes per week:
Code: 3МUR2B02
Number of classes per week:
- Lectures: 2
- Exercises: 2
ECTS: 5
Course outline:Introduction to vehicle control and basis of systems control engineering. Vehicle as a system, controlled by tyre forces and internal suspension loads, with interfaces to the driver and the traffic environment. Control of lateral dynamics. Control of longitudinal dynamics. Control of vertical dynamics. Applications of dynamics 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). Development of mathematical models in continuous- and discrete-time domain. Advanced control algorithms (fuzzy, neural network, sliding mode) designed and applied in automotive applications.
Specification for the book of courses
Specification for the book of courses
The name of the course: Modern Control of Industrial Processes
Code: 3МUR2B03
Number of classes per week:
Code: 3МUR2B03
Number of classes per week:
- Lectures: 2
- Exercises: 1
- Other forms of teaching: 1
ECTS: 5
Course outline:Industry 4.0. Cyber-physical environment for smart production. Virtual reality in the industry. Examples of applications of expanded reality in production. Additive production. 3D printing - preparation and realization of 3D models. Industrial Internet of Things (IIoT). Examples of IIoT applications. Network protocols and standards for the implementation of the IIoT system. Architecture of the IIoT system. Blockchain technology. Using blockchain technologies in the industry. Development of blockchain applications.
Specification for the book of courses
Specification for the book of courses
The name of the course: Electromedical Instrumentation
Code: 3МUR2B04
Number of classes per week:
Code: 3МUR2B04
Number of classes per week:
- Lectures: 2
- Exercises: 1
- Other forms of teaching: 1
ECTS: 5
Course outline:Cell as a source of bioelectric potential. Electrodes for measuring biopotentials. Instruments for registering EMG, ECG and EEG signals. Devices for electrostimulation and electrotherapy. Pacemakers and defibrillators. Instruments for the formation of a medical image based on electromagnetic radiation and on the basis of nuclear magnetic resonance. Other electromedical instruments.
Specification for the book of courses
Specification for the book of courses
The name of the course: Mobile Communication Systems
Code:3МUR2B05
Number of classes per week:
Code:3МUR2B05
Number of classes per week:
- Lectures: 2
- Exercises: 2
- Other forms of teaching:1
ECTS: 5
Course outline:
Evolution of the standards of mobile communication systems. Principles of mobile communications. Cellular approach. User equipment. GSM, GPRS and UMTS systems. HSPA and HSPA + systems. Architecture, functioning, characteristics and services of the LTE and LTE Advanced system. Basics of 5G systems. The role of 5G in IoT. Trends in the mobile communications market in Serbia and in the world.
Specification for the book of courses
Specification for the book of courses
Obligatory
The name of the course: Master Thesis Study and Research Work
Code: 3МUЗ2ОSR
Number of classes per week:
Code: 3МUЗ2ОSR
Number of classes per week:
- Lectures: 0
- Exercises: 0
- Other forms of teaching: 0
ECTS: 4
Course outline:It is formed individually in accordance with the needs of a concrete graduate-master work, its complexity and structure. According to his affinities and preferences, the student chooses the field of study work or the subject teacher from the list of teachers in the study program, which defines the specific task. The student studies professional literature, professional and scientific papers dealing with similar topics, performs analyzes in order to find a solution for a concrete task, or perform certain experiments in the laboratory. The study includes active monitoring of primary knowledge, organization and performance of experiments, numerical simulations and statistical data processing, preparation of seminar work from the narrow scientific-scientific field, which is the topic of independent research work.
Specification for the book of courses
Specification for the book of courses
The name of the course: Master Thesis
Code: 3МUЗ2ОЗR
Number of classes per week:
Code: 3МUЗ2ОЗR
Number of classes per week:
- Lectures: 0
- Exercises: 0
- Other forms of teaching: 0
ECTS: 15
Course outline:Master work is the independent research, practical or theoretical methodological work of the student in accordance with the level of studies, in which he becomes acquainted with a certain area through a literature review and adopts methodology of research, ie design, necessary for the production of work. By making the work, the student applies the practical and theoretical knowledge acquired during the studies. In written form, as a rule, the paper contains an introductory chapter, a definition of the problem, an overview of the areas and existing solutions, a proposal and a description of the solution, the conclusion and the literature. A public oral defense of work is organized before a commission of three members, one of which is a mentor of work. During the oral defense, the candidate explains the results of his work, and then answers the questions of the members of the commission, whereby the candidate demonstrates the ability to oral presentation of his project.
Specification for the book of courses
Specification for the book of courses
Овде можете да погледате како су изгледале мастер академске студије на студијском програму Управљање системима по претходној акредитацији студијских програма: Акредитација из 2013 године.