Study Programme Structure
The overall objective of the Study Programme Communications and Information Technologies at the Master Academic Studies is to ensure students acquiring the necessary knowledge and skills, offering them big opportunities of employment and/or further education in the field of Communications and Information Technologies, and more, in the field of Electrical and Computer Engineering.
The teaching process at Master studies at the study programme Communications and Information Technologies lasts one academic school year (two terms – total of 30 weeks).
Students’ work load at courses is expressed by ECTS credits, following the recommendations of the Bologna declaration. The structure of the study programme enables the equal distribution of 30 ECTS in each term.
Total number of credits necessary for obtaining the academic title Master in Electrical Engineering and Computing (M.E.Eng.Comp.) - Communications and Information Technologies is at least 300 ECTS.
The condition for enrollment in the study programme is at least 240 ECTS.
Within this Study Programme, there are two modules (starting of the first term), as follows:
Both modules offer elective courses from other study programmes of Master Academic Studies at the Faculty of Electronic Engineering in Niš.
Teaching activities are performed as lectures, practice work and other forms of teaching, with three or four classes of active teaching a week, with the exception of elective courses DSP algorithms and programming and Embedded systems design that are carried out with five classes of active teaching a week. In addition, in order to better adopt the material, it is envisaged to produce domestic tasks, seminar papers or projects.At lectures, the lecturer orally presents the course content by using modern computer and projection equipment. At practice classes (auditory and/or computer based), which follow lectures, there are concrete tasks solved and examples presented which additionally illustrate the course content. For the better learning of the content, students are obliged to do homework, seminar work, or projects. Every activity of a student during the teaching process is followed and valuated according to the rules, adopted at the Faculty, of which the students know in advance. The total number of active teaching classes for the study-research work is 14 a year, as counted on a week level.
Student chooses the topic for master thesis at the beginning of the second term, and defends it after having passed all exams.
Studies are considered finished when student has completed all duties prescribed by the study programme and has gained at least 60 ECTS.
Structure of courses at the study programme is:
Module Communications and Information Processing offers elaborate theoretical and practical knowledge on contemporary information and communications technologies and systems applied in the field of mobile, satellite and optical communications, as well as M2M and internet connected devices. Students are enabled to solve concrete engineering problems relating to up-to-date communication technologies, including sensor and optical networks, machine learning, coding and compression, data protection, sound based technologies, programming of communication platforms and software-hardware interface.
Module System Engineering and Radio Communications offers necessary knowledge related to system engineering of contemporary communication-information systems (mobile networks, satellite, broadcast, cable and optical systems, smart systems, access networks, local area networks, etc.). Students are trained to develop networks and services in telecommunications industry, to design the communication networks, computer networks, audio and video systems, to use of up-to-date information and communications technologies in the realization of various services, as well as to follow successfully the development trends.
The overall objective of the Study Programme Communications and Information Technologies at the Master Academic Studies is to ensure students acquiring the necessary knowledge and skills, offering them big opportunities of employment and/or further education in the field of Communications and Information Technologies, and more, in the field of Electrical and Computer Engineering.
The teaching process at Master studies at the study programme Communications and Information Technologies lasts one academic school year (two terms – total of 30 weeks).
Students’ work load at courses is expressed by ECTS credits, following the recommendations of the Bologna declaration. The structure of the study programme enables the equal distribution of 30 ECTS in each term.
Total number of credits necessary for obtaining the academic title Master in Electrical Engineering and Computing (M.E.Eng.Comp.) - Communications and Information Technologies is at least 300 ECTS.
The condition for enrollment in the study programme is at least 240 ECTS.
Within this Study Programme, there are two modules (starting of the first term), as follows:
- Communications and Information Processing, CIP
- System Engineering and Radio Communications, SERC.
- Mandatory and elective courses (each lasts one term),
- Professional practice or team project (3 ECTS), through which students get introduced with the latest professional and technological knowledge and elements of team work.
- Research work (in each term, 7 ECTS), to achieve independence in research and enable students to work on the master thesis,
- Master thesis (15 ECTS).
Both modules offer elective courses from other study programmes of Master Academic Studies at the Faculty of Electronic Engineering in Niš.
Teaching activities are performed as lectures, practice work and other forms of teaching, with three or four classes of active teaching a week, with the exception of elective courses DSP algorithms and programming and Embedded systems design that are carried out with five classes of active teaching a week. In addition, in order to better adopt the material, it is envisaged to produce domestic tasks, seminar papers or projects.At lectures, the lecturer orally presents the course content by using modern computer and projection equipment. At practice classes (auditory and/or computer based), which follow lectures, there are concrete tasks solved and examples presented which additionally illustrate the course content. For the better learning of the content, students are obliged to do homework, seminar work, or projects. Every activity of a student during the teaching process is followed and valuated according to the rules, adopted at the Faculty, of which the students know in advance. The total number of active teaching classes for the study-research work is 14 a year, as counted on a week level.
Student chooses the topic for master thesis at the beginning of the second term, and defends it after having passed all exams.
Studies are considered finished when student has completed all duties prescribed by the study programme and has gained at least 60 ECTS.
Structure of courses at the study programme is:
- Theoretical-methodological 27.25%
- Scientific-professional 38.82%
- Professional-applicative 33.93%
Module Communications and Information Processing offers elaborate theoretical and practical knowledge on contemporary information and communications technologies and systems applied in the field of mobile, satellite and optical communications, as well as M2M and internet connected devices. Students are enabled to solve concrete engineering problems relating to up-to-date communication technologies, including sensor and optical networks, machine learning, coding and compression, data protection, sound based technologies, programming of communication platforms and software-hardware interface.
Module System Engineering and Radio Communications offers necessary knowledge related to system engineering of contemporary communication-information systems (mobile networks, satellite, broadcast, cable and optical systems, smart systems, access networks, local area networks, etc.). Students are trained to develop networks and services in telecommunications industry, to design the communication networks, computer networks, audio and video systems, to use of up-to-date information and communications technologies in the realization of various services, as well as to follow successfully the development trends.
Pupose of the Study Programme
Development of telecommunications, together with the development of computer science, is the core of modern information and communications technology, shown to be the actuator of the entire industry and better standard in many developing countries. For that reason, this study programme is designed in a way to ensure highly proficient, research-oriented engineers, competitive on European and world level, ready to actively participate in regional development and to take part in the high technological and research potential of Serbia.
Students who choose this study programme are given the opportunity to:
The Study Programme has clearly defined goals. The overall objectives outlined in this study programme include education of master engineers, highly competent for the development and design of complex communication-information systems, who possess all necessary knowledge and skills for further schooling in doctoral studies and for following rapid technological development in the field of communications and information technologies.
Profiles of engineers demanded by modern communications today imply those who possess knowledge for development, design, and maintenance of communication and information systems and devices on the up-to-date development level, as well as who will be able to understand and apply new technologies and modern trends in telecommunications.
Particular goals of the study programme Communications and Information Technologies cover additional education in the field of design of communication circuits and devices, smart systems, cable, optical and wireless technologies, audio and video technologies, computer networks, sensor networks, optical networks, programming of communication platforms, machine learning, information processing, etc. Students will gain the necessary knowledge in using scientific methods and research techniques in a specific research field in order to be qualified to solve complex problems in practice in a creative way, that is, to be qualified for further scientific and research work.
The goal of the study programme is also to develop creative capacities in problems consideration and critical thinking, development of team work skills, gaining of skills and knowledge for scientific and research work and development capacities for presenting his/her own results to professional and wider public.
One of the specific goals, in accordance with goals of educating professionals at the Faculty of Electronic Engineering, is raising students awareness about the need of permanent education, upgrading, and advancement in a very perspective field of electrical engineering and computer science.
Development of telecommunications, together with the development of computer science, is the core of modern information and communications technology, shown to be the actuator of the entire industry and better standard in many developing countries. For that reason, this study programme is designed in a way to ensure highly proficient, research-oriented engineers, competitive on European and world level, ready to actively participate in regional development and to take part in the high technological and research potential of Serbia.
Students who choose this study programme are given the opportunity to:
- acquire professional and scientific knowledge through studying scientific-professional, theoretical-methodological and professional-applicative subjects
- be qualified for application of theoretical knowledge in solving professional and practical problems
- develop capacities for independent work and acquiring new knowledge by using scientific methods
- develop capacities for team work and cooperation with different profile experts
- have critical approach to professional issues
- have initiative and be independent in decision making and complex project leading.
The Study Programme has clearly defined goals. The overall objectives outlined in this study programme include education of master engineers, highly competent for the development and design of complex communication-information systems, who possess all necessary knowledge and skills for further schooling in doctoral studies and for following rapid technological development in the field of communications and information technologies.
Profiles of engineers demanded by modern communications today imply those who possess knowledge for development, design, and maintenance of communication and information systems and devices on the up-to-date development level, as well as who will be able to understand and apply new technologies and modern trends in telecommunications.
Particular goals of the study programme Communications and Information Technologies cover additional education in the field of design of communication circuits and devices, smart systems, cable, optical and wireless technologies, audio and video technologies, computer networks, sensor networks, optical networks, programming of communication platforms, machine learning, information processing, etc. Students will gain the necessary knowledge in using scientific methods and research techniques in a specific research field in order to be qualified to solve complex problems in practice in a creative way, that is, to be qualified for further scientific and research work.
The goal of the study programme is also to develop creative capacities in problems consideration and critical thinking, development of team work skills, gaining of skills and knowledge for scientific and research work and development capacities for presenting his/her own results to professional and wider public.
One of the specific goals, in accordance with goals of educating professionals at the Faculty of Electronic Engineering, is raising students awareness about the need of permanent education, upgrading, and advancement in a very perspective field of electrical engineering and computer science.
Master Engineer of Electrical Engineering and Computing
0
ECTS
0
Year
1. SEMESTER
Obligatory
The name of the course: Principles of Software Radio
Code: 3MКК1O01
Number of classes per week:
Code: 3MКК1O01
Number of classes per week:
- Lectures: 2
- Exercises: 0
ECTS: 4
Course outline:Introduction. Basic principles. Signals and systems, probability and digital transmission review. Basic SDR implementation of a transmitter and a receiver. Receiver structure and waveform synthesis of a transmitter and a receiver. Multicarrier modulation and duplex communications. Spectrum sensing techniques. Applications of software-defined radio. Hardware platforms for software radio.
Specification for the book of courses
Specification for the book of courses
The name of the course: Digital Information Processing
Code: 3MКК1O02
Number of classes per week:
Code: 3MКК1O02
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Quantization and classification. Pattern classification. Statistical pattern recognition. Information processing in source coding. Information processing in signal and data compression. Wiener filter and stochastic filtering. Fundamentals of kalman filtering. Fundamentals of adaptive filtering. Information processing in channel coding. Information processing in signala and data classification and in signal detection. Information processing in speaker recognition. Adaptive digital filters with variable forgetting factor. Signal quality improvement by digital filtering. Bayesian classification and Naive Bayes algorithm. Application of neural networks in signal prediction and filtration.
Specification for the book of courses
Specification for the book of courses
Elective Block 1 (1 out of 4) CIP
The name of the course: Telemetry
Code: 3МКК1А01
Number of classes per week:
Code: 3МКК1А01
Number of classes per week:
- Lectures: 2
- Exercises:1
ECTS: 4
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: Numerical Solution of Equations
Code: 3МКК1А02
Number of classes per week:
Code: 3МКК1А02
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Numerical solving of nonlinear equations. Numerical solving of the system of linear and nonlinear equations. Numerical differentiation and integration.Classification of methods for numerical solving of ordinary differential equations of the first order.Methods for solving the Koshi problem (Euler method, Runge-Kutta method, multi-step method).Methods for solving a contour problem (probing and error method, finite difference method, variation-projection method, finite element method).Translation of a higher order ODJ to the first-order ODJ system. Numerical integration of the first-order ODJ system.Partial differential equations (classification of equations and problem classification) and their numerical solving by the finite difference method and the finite element method.Accuracy and stability of numerical methods.
Specification for the book of courses
Specification for the book of courses
The name of the course: Embedded Systems Design
Code: 3МКК1А03
Number of classes per week:
Code: 3МКК1А03
Number of classes per week:
- Lectures: 2
- Exercises: 2
- Other classes: 1
ECTS: 6
Course outline:Introduction to embedded system design: application areas and examples, common characteristics, and challenges in embedded systems; traditional design flow, platform-based design. Specifications and modeling: requirements, models of computation, communicating finite state machines, data flow models, process networks, discrete-event based languages, levels of hardware modeling; comparison of models of computation. Evaluation and validation: performance evaluation, energy and power models, simulation, emulation, formal verification. Application mapping: problem definition, scheduling in real-time systems, hardware/software partitioning, mapping to heterogeneous multi-processors.
Specification for the book of courses
Specification for the book of courses
The name of the course: DSP Algorithms and Programming
Code: 3МКК1А04
Number of classes per week:
Code: 3МКК1А04
Number of classes per week:
- Lectures: 2
- Exercises: 2
- Other classes: 1
ECTS: 6
Course outline:Review of the theory of digital signal processing. Digitization of analog signals. Sampling, quantization and work with the codec. A/D and D/A converters. Specificity and DSP processor architectures. Representation of the data using fixed and floating point format and arithmetic; the effect of finite length words. Instruction set. Development and implementation of computationally efficient algorithms on the DSP platform: convolution, correlation, digital filters (IIR, FIR, LMS, DFT, FFT, IFFT). Audio signal processing using DSP processors. Image processing using DSP processors. Programming the DSP processors in assembly language and higher programming language. Development kits and tools: assembler, linker, simulator, debugger. Writing an efficient code: compiler optimization, effect of data types and memory map. Code optimization.
Specification for the book of courses
Specification for the book of courses
Elective Block 2 (1 out of 3) CIP
The name of the course: Cognitive Radio
Code: 3МКК1B01
Number of classes per week:
Code: 3МКК1B01
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Evolution to cognitive radio. Basic principles of cognitive radio. An ideal cognitive radio. Structure of cognitive radio. Dynamic use of spectrum in cognitive radio. Multidimensional spectral space. Techniques of spectrum availability analysis in cognitive radio. Techniques for determining and analyzing the location in cognitive radio. Applications of cognitive radio.
Specification for the book of courses
Specification for the book of courses
The name of the course: Intelligent Audio Algorithms
Code: 3MKK1B02
Number of classes per week:
Code: 3MKK1B02
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Audio signals and systems. Machine based learning and artificial intelligence methods in audio field. Harmonic model (harmonic detection, fundamental frequency detection, pitch detection algorithm). Extracting descriptors (features) from audio signals (energy, spectral, time and perceptual features). Decomposition of audio signals. Clustering and classification algorithms. Speech technologies in modern communication devices. Audio signal classification (auditory classes). Auditory scene analysis (e.g., application in mobile telecommunications). Sound transformation (filtering and morphing). Spatial audio (binaural audio, wavefield synthesis, Ambisonics). Virtual auditory environment. Sound detection using microphone arrays (forming of directivity, source location evaluation). Application of smart sound sources. Advanced algorithms for audio effect applications.
Specification for the book of courses
Specification for the book of courses
The name of the course: Computational electromagnetics selected chapters
Code: 3МКК1B03
Number of classes per week:
Code: 3МКК1B03
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:
Review of numerical methods for the calculation of the electromagnetic field. Finite difference time domain and the corresponding division of space. Numerical stability and dispersion of the finite difference time domain. Modeling of generators, the linear and nonlinear components and electronic assemblies. Absorbing conditions of the domain boundaries, with special emphasis on perfectly matched absorbing layer. Near-far transformation in time and frequency domain. Finite difference time domain variable spatial separation and numerical problems on the border of two domains. Development trends in the application of wireless and optical communication systems.
Elective Block 3 (1 out of 4) CIP
The name of the course: Advanced Coding Techniques
Code: 3МКК1C01
Number of classes per week:
Code: 3МКК1C01
Number of classes per week:
- Lectures: 2
- Exercises:1
ECTS: 4
Course outline:Switched-adaptive coding of continuous sources. Adaptive source coding based on robust quantizers. Coding algorithm based on lifting wavelet transform. Adaptive modulation and coding. Design of source coders for fixed and variable length of code words. Lossless compression using the LZ and LZW algorithm. BCJR algorithm decoding of error corection codes. Iterative decoding of codes on graphs (LDPC codes): Sum-product algorithm. Min-sum algorithms. Gallager A and B algorithms.
Specification for the book of courses
Specification for the book of courses
The name of the course: Discrete transformations with applications
Code: 3МКК1C02
Number of classes per week:
Code: 3МКК1C02
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:
Transforms and their significance. Discrete transforms, their meaning and significance. Discrete Fourier Transform. Discrete cosine and Discrete sine transform. Discrete wavelet transform. Hadamard transform. Walsh transform. KL transform. Application of discrete transforms in signal filtration. Application of discrete transforms in the approximation of functions and signals. Application of discrete transforms in signal and data compression.
The name of the course: Statistical learning in Signal Processing
Code: 3МКК1C03
Number of classes per week:
Code: 3МКК1C03
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Estimation of the signal probability density function. The approximation of signal probability density function. Kernel approximation of signal probability density function. Linear regression. Nonlinear regression. Piecewise linear regression. Application of the theory of regression in the design of encoders and quantizers. Estimation of parameters for probability density function. Adaptive signal coding. Correlation analysis of signals. Signal prediction. Adaptive prediction based on the LMS algorithm. Adaptive methods of statistical learning. Statistical adaptive signal coding. Adaptive estimation of parameters for signal coding. Estimation of correlation coefficients and of prediction coefficients for adaptive differential coding. Adaptive learning methods for backward estimation of parameters.
Specification for the book of courses
Specification for the book of courses
The name of the course: Speech Synthesis and Recognition
Code: 3МКК1C04
Number of classes per week:
Code: 3МКК1C04
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Chronology of development of speech synthesis from text. Importance and applications of speech synthesis. Advantages of man-machine speech communications. Applications of speech technologies in smart houses. Technologies based on language. Prosodic features of speech. Generating speech basis for speech/speaker recognition and synthesis. Basic system structure for automated speech synthesis. Speech synthesis from text (linguistic processing of text, synthesis). Speech synthesis in time domain. Parametric speech synthesis. Rule-based speech synthesis. Speech synthesis by connecting speech segments. Quality estimation of synthesized speech. Applications of speech synthesis. Speech automated devices. Automated speech and speaker recognition. Acoustical, lexical, phonetical and linguistical models. Systems for automated speech recognition. Algorithms for identification and verification of a speaker. Application of neural networks for speaker recognition. Emotion recognition in speech signals. Development directions in speech technologies.
Specification for the book of courses
Specification for the book of courses
Elective Block 1 (5 out of 10) SERC
The name of the course: Circuit Design for 5g Systems
Code: 3МКS1А01
Number of classes per week:
Code: 3МКS1А01
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Modern approach to circuit design (CAD techniques) - modeling, simulation and optimization of the design process. Design of passive microwave and millimeter-wave circuits. RF and microwave amplifiers - two-port power gains, stability. Single stage transistor amplifier design. Design of amplifiers for maximum gain. Low-noise amplifiers. Power amplifiers - basic features and applications. Classes of power amplifiers. Harmonic balance analysis. Oscillators. Detectors. Mixers. Design of microwave transceivers. Software packages for the analysis, design and optimization of microwave and millimeter-wave circuits.
Specification for the book of courses
Specification for the book of courses
The name of the course: Design of Telecommunication Networks and systems
Code: 3МКS1А02
Number of classes per week:
Code: 3МКS1А02
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Procedures for the state professional exam and for obtaining a license for certified designer of telecommunication networks and systems. The legal regulation for the design of telecommunication networks and systems in Serbia. The content and process of making technical documentation. Technical documentation control, control of construction/installation of telecommunication objects and control of built objects. Planning, design and technical regulations for typical telecommunication networks and systems (wireless radio links, optical and HFC networks). Case studies of actual projects of telecommunication networks and systems. Software support for design of telecommunication networks and systems. Fundamentals of project management in telecommunications.
Specification for the book of courses
Specification for the book of courses
The name of the course: Broadband Access Networks
Code: 3МКS1А03
Number of classes per week:
Code: 3МКS1А03
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:General model of access network. Review of characteristics of transmission media. Standards and recommendations. Broadband access technology over telecommunication cables with symmetric pairs. Symmetric and asymmetric xDSL access technologies (HDSL, SHDSL, ADSL2+, VDSL). Devices for broadband access (splitters, IP-DSLAM, xDSL modems). Fiber in the loop (FITL). Topologies of optical access networks. Passive and active optical networks in the local loop (BPON, GPON, EPON, AON). DWDM systems. Combined technologies in access networks. Modernization of cable distribution system by using hybrid networks with optical and coaxial cables (HFC network). Bi-directional signal transmission and services (cable TV, internet, video on demand, voice transmission). Cable modem terminal system (CMTS). Cable modems. Broadband access over power lines. PLC access network via low-voltage power lines (basic elements: PLC base station modem, repeater, gateway). In-home PLC networks. Wireless local loop. Fixed and mobile wireless access. Broadband wireless access technologies. Multiservice access nodes (MSAN).
Specification for the book of courses
Specification for the book of courses
The name of the course: Wireless Internet Access
Code: 3MKS1A04
Number of classes per week:
Code: 3MKS1A04
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:
Overview of wireless communications standards used for Internet access. Internet access based on the IEEE 802.15 standard. PAN architecture and wireless networks. Bluetooth technology in data transfer. Internet access based on the IEEE 802.11 standard. Wi-Fi. PLCP and PMD layers of data transfer. Equipment for the implementation of wireless Internet access. Roaming in wireless networks and mobile IP protocol. Architecture of IEEE.802.16 network for Internet access. Wi-Max. Internet Access via GSM. WAP. Satellite Internet. Data security in the systems for wireless Internet access.
Specification for the book of courses
The name of the course: Multimedia communication systems
Code: 3МКS1А05
Number of classes per week:
Code: 3МКS1А05
Number of classes per week:
- Lectures: 2
- Exercises: 1
- други облици наставе: 1
ECTS: 4
Course outline:Multimedia - basic concepts, data sources, transmission media. Formats and processing of multimedia signals - audio, text, picture, video. Production and integration of multimedia content and synchronization. Compression standards for multimedia communications. Adaptation of content and scaling. Searching for multimedia content. Protection of multimedia content. Wireless multimedia communication systems. Multimedia communications over IP networks. Convergence technologies. Interactive and multimedia services based on Cloud. Multimedia IoT systems. Multimedia devices - displays, acquisitions, mobile and portable devices, human-device interaction. QoS and QoE in multimedia.
Specification for the book of courses
Specification for the book of courses
The name of the course: Radar Systems and Radiolocation
Code: 3МКS1А06
Number of classes per week:
Code: 3МКS1А06
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:The basic principles of radiolocation and radar arhitecture. Classification and application of modern radar systems. The radar equation. RCS. MTI and pulse Doppler radar. Detection of radar signals in noise. Processing of radar signals. Extraction of radar information. Radar clutter. RHI and PPI radar display. Tracking the target with a radar system.Other types of radar: SAR radars, weather radars, military radar systems, radar for smart (autonomous) vehicles. Radar equipment (transmitters, receivers, antennas).
Specification for the book of courses
Specification for the book of courses
The name of the course: Artificial Intelligence and Machine Learning for Communication Systems
Code:3МКС1А07
Number of classes per week:
Code:3МКС1А07
Number of classes per week:
- Lectures: 2
- Exercises: 0
ECTS: 4
Course outline:Basic principles of artificial intelligence and machine learning. Machine learning methods. Artificial neural networks (types, architectures and learning methods). Principles and phases of development of artificial neural network based models. Incorporating knowledge from the problem domain into neural models. Examples of the applications of artificial neural networks in communication systems. SVM (Support Vector Machine) -based models. Evolutionary algorithms. Development of individual projects related to the application of artificial intelligence and machine learning in solving specific problems in communication systems.
Specification for the book of courses
Specification for the book of courses
The name of the course: Advanced Communication Technologies
Code: 3МКS1А08
Number of classes per week:
Code: 3МКS1А08
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Theoretical teaching consists of an overview of the latest trends in the development of communication systems and technologies. Selected topics in the field of development of wireless communication systems, cable and optical communication systems, as well as smart systems will be discussed in more detailes. The current program includes:5G mobile networks, communication systems in millimeter wave range, the latest generation of optical networks, smart systems and IoT, convergence of communication technologies, etc. The content will be adjusted every year in line with the development of communication systems.
Specification for the book of courses
Specification for the book of courses
The name of the course: IoT services
Code: 3МКS1А09
Number of classes per week:
Code: 3МКS1А09
Number of classes per week:
- Lectures:2
- Exercises: 1
ECTS: 4
Course outline:Internet of Things: basic concepts, architecture and application. Circuits and devices in the IoT environment: sensors, actuators, gateway, M2M communication. RFID, NFC, EPC architecture. Device communication protocols: IEEE 802.15.4, 802.11ah, ZigBee. LoRaWAN, LTE-M, NB-IoT. Network layer optimization protocols: 6LoWPAN, 6TiSCH. Application layer: MQTT, CoAP, HTTP. Security aspects. Standards. IoT-platforms. Localization algorithms. Indoor localization. Low power and Lossy network-LLN. Embedded apps for working in cloud. Application of IoT: smart grid, e-health, smart home, smart cities.
Specification for the book of courses
Specification for the book of courses
The name of the course: Wireless and Efficient Energy Transfer
Code: 3МКS1А10
Number of classes per week:
Code: 3МКS1А10
Number of classes per week:
- Lectures: 2
- Exercises: 0
ECTS: 4
Course outline:Propagation of electromagnetic waves in the near- and far-field of radiation. Systems for propagation of electromagnetic waves in the near-field of radiation (inductive coupling, coupling based on magnetic resonance). Wireless energy transfer in the far-field of radiation. Systems for an efficient use of microwave radiation energy. Use of Schottky diode in rectifiers. Voltage doubler and multipliers. Microwave rectifier circuits. Microwave rectenna devices used for wireless and efficient transfer of microwave radiation. Data transfer and efficient use of microwave radiation by using six-port receiver. Applications of systems for wireless and efficient energy transfer.
Specification for the book of courses
Specification for the book of courses
Obligatory
The name of the course: Study and Research Work
Code: 3МКЗ1О01
Number of classes per week:
Code: 3МКЗ1О01
Number of classes per week:
- Lectures: 0
- Exercises: 0
- Study and Research Work: 14
ECTS: 7
Course outline:Training students to independently apply previously acquired knowledge from different areas they have studied, in order to examine the structure of the given problem and to analyze it in a systematic way, with the final goal to make conclusions about possible solutions. Through self-use of literature, students expand their knowledge by studying various methods and papers related to similar issues. In this way, students develop the ability to conduct analyzes and to identify problems within the given issues. By the practical application of acquired knowledge, students develop the ability to see the place and role of engineers in the selected area, as well as the need for cooperation with other professions and for the teamwork.
Specification for the book of courses
Specification for the book of courses
The name of the course: Professional Practice
Code: 3МКЗ1О02
Number of classes per week:
Code: 3МКЗ1О02
Number of classes per week:
- Lectures: 0
- Exercises:0
- other forms of teaching: 0
- other classes: 6
ECTS: 3
Course outline:
The content of the professional practice is in full compliance with the objectives of the practice. The student learns the structure of the company and the goals of its business, adjusts his/her own engagement to the corresponding study area and duly fulfills his/her work obligations in accordance with the duties of the employees in the company. The student describes his own engagement during the professional practice and gives a critical insight in his/her own experience, knowledge and skills gained in practice.
Specification for the book of courses
2.SEMESTER
Obligatory
The name of the course: Big Data Analysis
Code: 3МКК2О01
Number of classes per week:
Code: 3МКК2О01
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Introduction to the analysis of large data sets - their characteristics, sources and challenges. Pro-gramming in statistical packages: R, Python. Probabilistic generative model, graphic models, neural networks. Methods for reducing the dimensionality of large data sets - PCA. Classification - Bayes Classifier, multidisciplinary classification. Regression - SVM regression. Mechanical learning algorithms and applications in robust prediction models.
Specification for the book of courses
Specification for the book of courses
Elective Block 4 (1 out of 5) CIP
The name of the course: Computing for IoT communication
Code: 3МКК2А01
Number of classes per week:
Code: 3МКК2А01
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Computing in general, and communication specifics. Internet. Things. M2M communications, protocols and interfaces. Sensor/actuator networks. Handling and analyzing data. Context. Smart environments. Security. Surviving in Java. Integrated Development Environments for Things. Basics of Linux and shell scripting. Application examples and case studies.
Specification for the book of courses
Specification for the book of courses
The name of the course: Nonlinear Fiber Optics
Code: 3МКК2А02
Number of classes per week:
Code: 3МКК2А02
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Wave propagation in optical fibers. Chromatic and Polarization Mode Dispersion. Fiber nonlinear effects: self-phase modulation, cross-phase modulation, four-wave mixing, stimulated Raman scat-tering, and stimulated Brillouin scattering. Compensation (optically and electrically) of propagation effects. Pulse propagation and soliton formation in fibers. Multimode and multicore fibers for enha-ncing the capacity of optical communication systems through a new type of multiplexing known as the mode-division or space-division multiplexing (SDM).
Specification for the book of courses
Specification for the book of courses
The name of the course: Telecommunications and Information Technologies in Telemedicine
Code: 3МКК2А03
Number of classes per week:
Code: 3МКК2А03
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Development of Telemedicine. Medical signals and their digitization. Standards for communication, storage and use of digital images in Medicine. Systems for archiving and exchange of medical data. External and internal wireless networks in the context of the human body. Internet intelligent facilities in the health care system. Communication techniques for the information transmission on a relationship: "sensor-gateway-access network-data center" - channel modeling, modulation and demodulation techniques, error correction codes, crypto-protection. Safety of medical data. Basic statistical algorithms for data analysis and decision in data storage centers.
Specification for the book of courses
Specification for the book of courses
The name of the course: Next Generation Mobile Systems
Code: 3МКК2А04
Number of classes per week:
Mobile systems development - historical overview. Overview and analysis of existing mobile systems. The propagation characteristics of the mobile channel. Modems for mobile systems - modulation and demodulation techniques, diversity techniques. Channel coding for mobile systems. Cellular system design including cell structure. Multiple access techniques. Principles of positioning. Telecommunication traffic and queing systems. Services of mobile systems. User Mobility and Handover. Routing of traffic. Interconnections of different networks and convergence. Dimensioning the capacity of hardware and transport routes. Requirements for new generation networks.
Code: 3МКК2А04
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Mobile systems development - historical overview. Overview and analysis of existing mobile systems. The propagation characteristics of the mobile channel. Modems for mobile systems - modulation and demodulation techniques, diversity techniques. Channel coding for mobile systems. Cellular system design including cell structure. Multiple access techniques. Principles of positioning. Telecommunication traffic and queing systems. Services of mobile systems. User Mobility and Handover. Routing of traffic. Interconnections of different networks and convergence. Dimensioning the capacity of hardware and transport routes. Requirements for new generation networks.
The name of the course: Advanced MIMO Systems
Code: 3МКК2А05
Number of classes per week:
Code: 3МКК2А05
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Introduction – advantages of multiantenna systems – spatial diversity vs. spatial multiplexing. MIMO channel. Capacity of MIMO channel. MIMO transmitter. MIMO receiver. Estimation of MIMO channel and its influence on MIMO system performance. Multiuser MIMO systems. Precoding techniques in multiuser MIMO systems. Massive MIMO.
Specification for the book of courses
Specification for the book of courses
Elective Block 2 (2 out of 5) SERC
The name of the course: Satellite Systems and Services
Code: 3МКS2А01
Number of classes per week:
Code: 3МКS2А01
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Architecture of satellite communication systems. Satellite orbits and trajectories. The launch, positioning and maintaining satellites in orbit. Satellite hardware - satellite subsystems. Satellite link design. Modulation techniques. Multiple access techniques. Earth stations. Communication satellites. Satellite telephony. Satellite television. Satellite data communication services. VSAT systems. Satellite navigation systems. GPS - architecture, services, principles of operation, GPS receivers. WAAS, LAAS, EGNOS. GALILEO. Remote sensing satellites - payloads, types of images, image interpretation. Weather and military satellites.
Specification for the book of courses
Specification for the book of courses
The name of the course: Electromagnetic Compatibility
Code: 3МКS2А02
Number of classes per week:
Code: 3МКS2А02
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Introduction to electromagnetic compatibility. Sources of electromagnetic interference. Penetration through shields and apertures. Shielding theory. Aperture theory. Propagation, conductive penetrations and general multipath coupling. Electromagnetic susceptibility. Signal integrity. Electromagnetic interference control techniques. Basic principles of EMC design. Review of numerical simulation techniques for solving EMC problems on computer. EMC standards. EMC measurement methods.
Specification for the book of courses
Specification for the book of courses
The name of the course: Adaptive Antennas and MIMO Systems
Code: 3МКS2А03
Number of classes per week:
Code: 3МКS2А03
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Electromagnetic waves characterization in the space-time domain. Spatial filtering of the signal and SDMA concept. Antenna arrays with controllable radiation patterns. Butler's matrix. Scanning antenna arrays. Algorithms for determining the direction of arrival (DoA) of EM radiation (MUSIC, ESPRIT). Adaptive antenna arrays. Adaptive beamforming in the temporal and spatial domain. Wiener solution. MIMO systems. (architecture, spatial communication channel, processing in the space-time domain). Application of antenna arrays in wireless communications.
Specification for the book of courses
Specification for the book of courses
The name of the course: Computer Communications
Code: 3МКS2А04
Number of classes per week:
Code: 3МКS2А04
Number of classes per week:
- Lectures: 2
- Exercises: 1
ECTS: 4
Course outline:Computer as a communication device. OSI and TCP / IP communication models. The physical level of data transfer in computer communications. Modem communications and broadband Internet access. Internet PPP protocol. Communication systems based on IEEE 802.3 standard. Ethernet network architecture and devices. IP communications. IPv4 and IPv6. NAT communication infrastructure. RIP and EGP. IP communication infrastructure for Internet access. Devices for realization of Internet access. Transport layer and UDP and TCP communications. RTP and transfer of multimedia data. Application layer in telecommunications for Internet access. Modern telecommunication services and the Internet.
Specification for the book of courses
Specification for the book of courses
The name of the course: Distributed Embedded Systems
Code: 3МКS2А05
Number of classes per week:
Code: 3МКS2А05
Number of classes per week:
- Lectures: 2
- Exercises: 1
- other forms of teaching: 1
ECTS: 5
Course outline:Introduction to distributed embedded systems: common characteristics, classification, typical fields of application. Wireless sensor networks: application areas and application examples, common features and challenges; sensor node architecture: sensor, processor, communication and power supply subsystem; network architecture: classification, optimization goals and design principles; communication protocols: physical level: characteristics of the wireless communication channel and low-power transmitters; MAC level: contention based protocols and time-based protocols, multi-channel protocols, 802.15.4 and ZigBee; routing protocols: flooding and gossiping, protocols for proactive, geographic and on-demand routing; time synchronization; localization: techniques for direct and indirect localization; programming wireless sensor networks: operating systems (TinyOS) and programming languages (nesC).
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: 3МКЗ2О01
Number of classes per week:
Code: 3МКЗ2О01
Number of classes per week:
- Lectures: 0
- Exercises: 0
- other forms of teaching: 0
- Study research work: 14
ECTS: 7
Course outline:The study work is formed individually in accordance with the needs of a concrete master work, its complexity and structure. According to his/her affinities and preferences, the student chooses the field of study work and the teacher (from the list of teachers of the study program), who defines the specific task. The student studies professional literature, professional and scientific papers dealing with similar topics, performs the analysis in order to find a solution for a concrete task, or perform some experiments in the laboratory. The study includes active monitoring of primary knowledge, organization and performance of experiments, numerical simulations and statistical data processing, as well as the preparation of seminar work from the chosen scientific area.
Specification for the book of courses
Specification for the book of courses
The name of the course: Master Thesis
Code: 3МКЗ2О02
Number of classes per week:
Code: 3МКЗ2О02
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/she becomes acquainted with a certain area through a literature review and adopts methodology of research, necessary for the work realization. By making the work, the student applies the practical and theoretical knowledge acquired during the studies. As a rule, the Master work contains an introductory chapter, definition of the problem, overview of the areas and existing solutions, proposal and description of the solution, conclusion and literature. A public oral defense of the work is organized in the presence of 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 commission’s questions, whereby the candidate demonstrates the ability for the oral presentation of his/her project.
Specification for the book of courses
Specification for the book of courses