Electronics Engineering
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DepartmentFaculty of Electronics
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Program code6211EX050
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Field of studyEngineering
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QualificationMaster of Engineering Sciences
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Duration2
About
ELECTRONICS ENGINEERING
| Degree | Master of Engineering Sciences |
| Length | 2 years (4 semesters) |
| Study language | Lithuanian, English |
| Start | 1st of September |
| Entry Qualification | To this programme applicants are accepted from the fields of: Electronics Engineering, Electrical Engineering, Information Systems, Software Engineering, Informatics Engineering, Physics. |
Electronics is found in almost every device we use every day – a computer, a phone, a smart vacuum cleaner or refrigerator, a car, etc.
Work done by electronics engineers includes innovative and time-tested technical solutions adopted in the equipment used for different purposes. They develop and apply microprocessor, computerized and neural network intelligent electronic systems, advanced electronic circuits and systems of internet of things (IoT), wireless communication and plenty of other systems necessary for everyday use in household equipment and even for spacecrafts.
The rapid evolution of technology results in a growing worldwide need for the experts having a broad knowledge of programming, complex technologies and systems.
The Master's degree programme in Electronics Engineering is available in Lithuanian or English and is aimed at training professional engineers of electronics. Studies assist in acquiring the latest knowledge of electronics engineering and related fields of study, which is necessary for the independent development and application of the most recent computerized electronic systems and advanced electronic circuits and systems.
The trained specialists manage to perform applied research into electronic systems and specified integrated circuits required for designing new products and providing up-to-date services.
The students of this particular study programme can choose between two specializations – Computerized Electronic Systems or Advanced Electronics Design.
Computerized Electronic Systems. Independent and embedded electronic computer systems are designed to monitor and manage various devices, equipment and technological processes. The systems are the essential elements applied in different fields of society from any advanced car to a spacecraft.
Computerized electronic systems count an innumerable number of equipment and act as a medium where new intelligent technologies are designed and installed in any industry such as telecommunications business, medicine, warfare, etc.
The graduates in Electronics Engineering will know the operation principles of the latest electronic devices and computerized electronic systems.
They will manage to design, operate and advance embedded, measurement, computerized control, neural network and other state-of-the-art technologies.
Advanced Electronics Design.
Technologies for the development and application of advanced electronic systems increase industrial innovation, accelerate the development of the Internet of Things, 5G and 6G mobile wireless technologies and intelligent transport systems, and have a significant impact on national, European and global economies.
The students of this specialization learn how to design, program, operate and improve advanced electronic circuits and systems, modern special purpose integrated circuits, and other information and communication technologies systems that are used in transportation, aeronautics, biomedicine and communications.
Learning outcomes
The Master's degree programme in Electronics Engineering is designed:
- to learn the basics of sciences and mathematics;
- to identify, find and assess data required for engineering work in the databases and other sources of information;
- to plan and perform analytical, simulation and experimental research using new problem solving methods;
- to foresee and deal with standard and non-standard engineering problems of of advanced electronics design;
- to predict and solve standard and non-standard engineering problems of computerized electronic systems.
Career opportunities may include:
- working for electronics and informatics companies developing and implementing the latest electronic multiple-purpose systems, designing and manufacturing electronic and computer equipment;
- working for telecommunication, electronic business organization, accounting and advertising companies;
- teaching at universities and colleges;
- studying a Doctoral degree programme.
Study subjects
1 Semester
obligatory
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ELESM17101 9 credits
Signals and Signal Processing
Module aim
Increasing of knowledge and skills in theoretical analysis of signals and their processing methods in newest technology. Be able to explain the proposed solution, self-employed or diverse.
Module description
The course of Signals and Processing provides knowledge on the basic items of signal theory: the analysis techniques of signals changing in electronic circuits, dynamic signals mapping, geometrical methods of signal theory, orthogonal signals theory, methods of calculating the amount of information. The mathematical models of fixed range signals and their associated sampling theorem, analytical signal, Gilbert’s transformation are analyzed. During the study of discrete signals and their processing the students learn to make mathematical models of discrete signals and calculate the signal characteristics. The skills to analyze creation, processing and utilization of digital signals are acquired. Analog-digital and digital-analog converters, the fast Fourier transform and its applications, digital filtering algorithms in time and frequency domain, the digital device speed are analyzed. Students must complete all scheduled laboratory work.
Students must attend at least 60% of the practical exercises (practical work) and at least half of the lectures according to the semester schedule. -
ELESM17107 6 credits
Intelligent Systems
Module aim
To introduce for students the mathematical methods used in modern intelligent systems, the elementary elements that make up these models, and to help students acquire practical skills in choosing the most suitable solution for the selected task, arguing the appropriateness of the selected solution, distinguishing advantages and formulating a technical task for the implementation of the solution.
Module description
Knowledge is gained about intelligent systems based on artificial neural networks, evolutionary calculations or fuzzy logic, their composition and principles of operation. New concepts for the application of intelligent systems are analyzed, the choice of methods, efficiency measurements and comparative studies are critically evaluated. It is learned to independently create individual components of intelligent systems, to model intelligent systems or their parts with MATLAB software or in the Python environment, and to apply them to analyze and process sound, image and other signals of a technical nature. Students must complete all scheduled laboratory work.
Students must attend at least 80% of the course laboratory and at least half of the lectures according to the semester schedule. -
ELKRM17103 6 credits
Mathematical Modelling Technologies
Module aim
To learn design and develop mathematical models of electronic circuits and systems using modern modeling technologies, critically analyze modeling results and draw conclusions.
Module description
Mathematical modelling technologies subject delivers knowledge about mathematical modelling, numerical methods, application of linear and nonlinear equations, matrices and differential equations for description and numerical modelling of electronic circuits and systems, numerical integration and differentiation, data processing, analysis and visualization.
Students must complete no less than 80% of the scheduled laboratory works -
ELESM17103 6 credits
Fundamentals of Research and Innovations
Module aim
To deliver knowledge about research, development and innovation systems, to develop scientific work planning, performing and organizing skills and scientific results public presentation abilities.
Module description
Fundamentals of Research and Innovations subject delivers knowledge about research, development and innovation systems, inventions and patents, engineering ethics and decision making in engineering, scientific document preparation and presentation. Recognition and analysis of the new and significant in electronics and informatics engineering field research and development problems are taught. Skills to plan, perform and organize scientific work are exercised. Abilities to prepare and present public presentations and posters, work in a team, communicate with colleagues and be in charge of others work are developed. Students must attend at least 80% of the course laboratory and at least half of the lectures according to the semester schedule.
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ELESM17104 3 credits
Master's Research Work 1
Module aim
To choose field of research and formulate the problem of research. Set up topic of Graduation Thesis and gather initial data, set up and analyse task of Graduation Thesis, set up timetable of preparation of Graduation Thesis.
Module description
Set up together with supervisor of topic of Master’s Graduation Thesis. Gather initial data on Graduation Thesis topic. Compose and set up of task of Graduation Thesis. Analysis of literature and Graduation Thesis task. Set up of timetable of preparation of Graduation Thesis. Acquiring knowledge about design and programming of computerized electronic systems, scientific investigation and experimentation. Elevate ability to combine theoretical and practical elements, to apply information technologies, to assess and analyze literature and data. Preparation of technical report.
obligatory
-
ELESM17101 9 credits
Signals and Signal Processing
Module aim
Increasing of knowledge and skills in theoretical analysis of signals and their processing methods in newest technology. Be able to explain the proposed solution, self-employed or diverse.
Module description
The course of Signals and Processing provides knowledge on the basic items of signal theory: the analysis techniques of signals changing in electronic circuits, dynamic signals mapping, geometrical methods of signal theory, orthogonal signals theory, methods of calculating the amount of information. The mathematical models of fixed range signals and their associated sampling theorem, analytical signal, Gilbert’s transformation are analyzed. During the study of discrete signals and their processing the students learn to make mathematical models of discrete signals and calculate the signal characteristics. The skills to analyze creation, processing and utilization of digital signals are acquired. Analog-digital and digital-analog converters, the fast Fourier transform and its applications, digital filtering algorithms in time and frequency domain, the digital device speed are analyzed. Students must complete all scheduled laboratory work.
Students must attend at least 60% of the practical exercises (practical work) and at least half of the lectures according to the semester schedule. -
ELESM17107 6 credits
Intelligent Systems
Module aim
To introduce for students the mathematical methods used in modern intelligent systems, the elementary elements that make up these models, and to help students acquire practical skills in choosing the most suitable solution for the selected task, arguing the appropriateness of the selected solution, distinguishing advantages and formulating a technical task for the implementation of the solution.
Module description
Knowledge is gained about intelligent systems based on artificial neural networks, evolutionary calculations or fuzzy logic, their composition and principles of operation. New concepts for the application of intelligent systems are analyzed, the choice of methods, efficiency measurements and comparative studies are critically evaluated. It is learned to independently create individual components of intelligent systems, to model intelligent systems or their parts with MATLAB software or in the Python environment, and to apply them to analyze and process sound, image and other signals of a technical nature. Students must complete all scheduled laboratory work.
Students must attend at least 80% of the course laboratory and at least half of the lectures according to the semester schedule. -
ELKRM17103 6 credits
Mathematical Modelling Technologies
Module aim
To learn design and develop mathematical models of electronic circuits and systems using modern modeling technologies, critically analyze modeling results and draw conclusions.
Module description
Mathematical modelling technologies subject delivers knowledge about mathematical modelling, numerical methods, application of linear and nonlinear equations, matrices and differential equations for description and numerical modelling of electronic circuits and systems, numerical integration and differentiation, data processing, analysis and visualization.
Students must complete no less than 80% of the scheduled laboratory works -
ELESM17103 6 credits
Fundamentals of Research and Innovations
Module aim
To deliver knowledge about research, development and innovation systems, to develop scientific work planning, performing and organizing skills and scientific results public presentation abilities.
Module description
Fundamentals of Research and Innovations subject delivers knowledge about research, development and innovation systems, inventions and patents, engineering ethics and decision making in engineering, scientific document preparation and presentation. Recognition and analysis of the new and significant in electronics and informatics engineering field research and development problems are taught. Skills to plan, perform and organize scientific work are exercised. Abilities to prepare and present public presentations and posters, work in a team, communicate with colleagues and be in charge of others work are developed. Students must attend at least 80% of the course laboratory and at least half of the lectures according to the semester schedule.
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ELKRM17106 3 credits
Master's Research Work 1
Module aim
Conducting research in the field of advanced electronics systems applications, summarizing research results, and preparing a final work description to demonstrate the ability to integrate accumulated knowledge during the study period and work independently or in a group, and by successfully defending the project, demonstrate that the goals of the study program have been achieved.
Module description
The chosen direction of research for the master’s degree, the topic of the work, and the supervisor are selected. The necessary initial data is collected. The final work task is formulated and aligned. An analysis of literature sources and the final work task is conducted. A schedule for the completion of the final work task is created. Deepening knowledge about the design, programming, economic analysis, management, scientific research, and experiments of advanced electronics systems. Training in the integration of theoretical and practical elements, application of information technologies, evaluation of literature and data, as well as their analysis, and project planning skills. An interim report is being prepared.
obligatory
-
ELESM17101 9 credits
Signals and Signal Processing
Module aim
Increasing of knowledge and skills in theoretical analysis of signals and their processing methods in newest technology. Be able to explain the proposed solution, self-employed or diverse.
Module description
The course of Signals and Processing provides knowledge on the basic items of signal theory: the analysis techniques of signals changing in electronic circuits, dynamic signals mapping, geometrical methods of signal theory, orthogonal signals theory, methods of calculating the amount of information. The mathematical models of fixed range signals and their associated sampling theorem, analytical signal, Gilbert’s transformation are analyzed. During the study of discrete signals and their processing the students learn to make mathematical models of discrete signals and calculate the signal characteristics. The skills to analyze creation, processing and utilization of digital signals are acquired. Analog-digital and digital-analog converters, the fast Fourier transform and its applications, digital filtering algorithms in time and frequency domain, the digital device speed are analyzed. Students must complete all scheduled laboratory work.
Students must attend at least 60% of the practical exercises (practical work) and at least half of the lectures according to the semester schedule. -
ELKRM17103 6 credits
Mathematical Modelling Technologies
Module aim
To learn design and develop mathematical models of electronic circuits and systems using modern modeling technologies, critically analyze modeling results and draw conclusions.
Module description
Mathematical modelling technologies subject delivers knowledge about mathematical modelling, numerical methods, application of linear and nonlinear equations, matrices and differential equations for description and numerical modelling of electronic circuits and systems, numerical integration and differentiation, data processing, analysis and visualization.
Students must complete no less than 80% of the scheduled laboratory works -
ELESM17102 6 credits
Microwave and Optical Electronic Devices
Module aim
Studies of microwave and optical electronic devices (optical lines, light sources, modulators and detectors, high operation speed semiconductor devices, high power microwave electronic devices). Models and application of the devices.
Module description
General introductory discussion. Devices for optical communication systems (optical fibers, other devices of optical transmission lines, light sources – light emitting and laser diodes, modulators, regenerators, photodetectors). Microwave semiconductor devices (microwave diodes, homojunction and heterojuncion bipolar and field effect transistors and integrated circuits). High power microwave electronic devices. New trends in microwave and optical electronics. Students must complete all scheduled laboratory work.
Students must attend at least 60% of the practical exercises (practical work) and at least half of the lectures according to the semester schedule. -
ELESM17103 6 credits
Fundamentals of Research and Innovations
Module aim
To deliver knowledge about research, development and innovation systems, to develop scientific work planning, performing and organizing skills and scientific results public presentation abilities.
Module description
Fundamentals of Research and Innovations subject delivers knowledge about research, development and innovation systems, inventions and patents, engineering ethics and decision making in engineering, scientific document preparation and presentation. Recognition and analysis of the new and significant in electronics and informatics engineering field research and development problems are taught. Skills to plan, perform and organize scientific work are exercised. Abilities to prepare and present public presentations and posters, work in a team, communicate with colleagues and be in charge of others work are developed. Students must attend at least 80% of the course laboratory and at least half of the lectures according to the semester schedule.
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AIAIM17090 3 credits
Master Research Work 1
Module aim
Perform research in the application field, summarize research results and prepare technical report of Graduation Work demonstrating abilities to integrate knowledge acquired during studies, and work individually or in team, and by successful defence of Master’s Graduation Work proof achievement of goals of study program.
Module description
Set up together with supervisor of topic of Master’s Graduation Thesis. Gather initial data on Graduation Thesis topic. Compose and set up of task of Graduation Thesis. Analysis of literature and Graduation Thesis task. Set up of timetable of preparation of Graduation Thesis.
2 Semester
obligatory
-
ELESM17214 9 credits
Real-Time Systems (with Course Project)
Module aim
Introduction to algorithms for adaptive real-time digital signal processing. Practical skills of team work in designing and implementing the algorithms on general-purpose digital signal processors.
Module description
Concepts of adaptive filtering. Basic Wiener filter theory. Most popular modifications of least mean squares algorithm. Design of adaptive real-time digital filters. Applications of adaptive filters in medicine, speech signal processing and for telephone echo cancellation. Implementation of the adaptive filtering algorithms on general-purpose digital signal processor. Students must complete all scheduled laboratory work.
Students must attend at least 80% of the course laboratory and at least half of the lectures according to the semester schedule. -
ELESM19208 6 credits
Electronic System Design
Module aim
Acquire knowledge of electronic systems design techniques and tools, digital and analog systems interoperability, and digital and / or analog systems design.
Module description
From the subject of “Electronic Systems Design” acquires knowledge of the electronic systems projects about planning, analyzing, developing, validation and quality assurance, covering the entire life cycle of an electronic system. Knowledge of the interoperability of digital and analogue electronic systems as well as the analysis and design of digital and / or analogue systems is also acquired. Students must attend all scheduled laboratory work. Students must attend at least 80% of the laboratory and at least half of the lectures according to the semester schedule.
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ELESM19204 6 credits
Speech Signal Processing
Module aim
To obtain knowledge about speech signal and its analysis, enhancement, coding, recognition and synthesis, to be able to deal with the practical and research speech processing tasks.
Module description
During studies the knowledge of the speech signal nature and properties, speech production and perception processes and models are obtained. Understanding of various classical and modern speech signal analysis, speech enhancement, compression, recognition, and synthesis techniques is acquired also. The obtained knowledge is deepened by studying textbooks and scientific publications, by preparing and presenting writing work on selected topic. Practical and research skills are obtained during laboratory work and project activities by solving speech processing problems and performing experimental studies. Students must complete all scheduled laboratory work. Students must attend at least 80% of the laboratory and at least half of the lectures according to the semester schedule.
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ELESM17205 3 credits
Master's Research Work 2
Module aim
To continue preparation of Graduation Thesis according to the timetable, to prepare analytical review of scientific-technical information corresponding to chosen research topic, formulate research and graduation thesis tasks, perform initial research work, revise the task of the Master’s Graduation Thesis.
Module description
Acquiring new knowledge about design and programming of computerized electronic systems, scientific investigation and experimentation. Elevate ability to combine theoretical and practical elements, to apply information technologies, to assess and analyze literature and data. Preparation of second technical report.
obligatory
-
ELKRM21202 9 credits
Application Specific Integrated Circuits Design (with Course Project)
Module aim
The aim of this subject is to acquire the deeper knowledge and new competence in the analysis, applications and development and/or creation of ASIC chips, and to explain the solutions working independently or in miscellaneous group.
Module description
Design and Manufacturing of Application-Specific Integrated Circuits course delivers latest knowledge of sub-micronic and nanometric Si-CMOS, and SiBi-CMOS, SiGe, GaAs technologies, VLSI circuits synthesis and analysis methods, layout design technologies, modelling and computer-aided design systems and tools, digital, analog and mixed VLSI circuits topology analysis and their optimization algorithms. Application-Specific Integrated Circuits are manufactured through MOSIS IC Service program.
Students must complete no less than 80% of the scheduled laboratory works -
ELKRM17212 6 credits
New Micro and Nanotechnologies
Module aim
Provide special knowledge in the study field of electronics engineering, necessary for application of newest technologies and independent development of new products and services, and train to perform an applied research that gives new results in the study field of electronics engineering;
Develop the ability to creatively apply theoretical knowledge and results of scientific investigation, and to improve professional competence throughout life-long learning.Module description
The acquirement to recognize of the tendencies of microelectronics in 21-th century, limitations of silicon technologies, improvement tendencies of CMOS transistors technologies, self-formation features and technologies, 3D, 2D, 1D confinement devices and carbon nanotubes, MEMS/NEMS, spintronics and molecular electronics technological processes, quantum computers and single electron devices and circuits technologies and the future prospects of nanoelectronics.
Students must complete no less than 80% of the scheduled laboratory works -
ELKRM21201 6 credits
Advanced Electronic Circuits and Systems 1
Module aim
To provide the special knowledge in the field of electronics engineering necessary for the application and development, modeling and analysis of new advanced electronic circuits (AECs) and systems and / or their components and to assess their impact on future societal needs and to develop the ability to creatively apply theoretical knowledge and research results and improve their professional competence through lifelong learning.
Module description
Course of Advanced Electronic Circuits (AECs) and Systems 1 provides knowledge about the subject, its concept, development paradigm and their classification, AECs element development, modeling and analysis techniques, application of AECs in Internet of Things and for 5G and 6G mobile wireless technologies and intelligent transport systems, the impact of AECs development on meeting the needs of future society.
Students must complete no less than 80% of the scheduled laboratory works -
ELKRM17214 3 credits
Master's Research Work 2
Module aim
Master’s Research Work Aim – perform research in the application field of micro- and nano-electronic systems design, summarize research results and prepare technical report of Graduation Work demonstrating abilities to integrate knowledge acquired during studies, and work individually or in team, and by successful defence of Master’s Graduation Work proof achievement of goals of study program.
Aim of Master’s Research Work 1: To choose field of research and formulate the problem of research.Module description
Set up together with supervisor of topic of Master’s Graduation Thesis. Gather initial data on Graduation Thesis topic. Compose and set up of task of Graduation Thesis. Analysis of literature and Graduation Thesis task. Set up of timetable of preparation of Graduation Thesis. Acquiring knowledge about design and programming of micro- and nano-electronics systems, scientific investigation and experimentation. Elevate ability to combine theoretical and practical elements, to apply information technologies, to assess and analyze literature and data. Preparation of technical report.
obligatory
-
ELESM17214 9 credits
Real-Time Systems (with Course Project)
Module aim
Introduction to algorithms for adaptive real-time digital signal processing. Practical skills of team work in designing and implementing the algorithms on general-purpose digital signal processors.
Module description
Concepts of adaptive filtering. Basic Wiener filter theory. Most popular modifications of least mean squares algorithm. Design of adaptive real-time digital filters. Applications of adaptive filters in medicine, speech signal processing and for telephone echo cancellation. Implementation of the adaptive filtering algorithms on general-purpose digital signal processor. Students must complete all scheduled laboratory work.
Students must attend at least 80% of the course laboratory and at least half of the lectures according to the semester schedule. -
ELKRM17215 6 credits
Microcontrollers and Their Programming
Module aim
To learn the principles of development of microcontroller-based devices dedicated to the scientific investigations. To choose the microcontroller and other elements for the microcontroller-based devices and to create the microcontroller programs using C programming language. To be able to substantiate solutions working individually or in the team
Module description
The knowledge about the main microcontroller families and their characteristics are obtained in the course of Microcontrollers and their Programming. The PIC18 microcontroller family has been studied. The representative of this family microcontroller PIC18F47K42 is studied in details. The development board dedicated to the design of electronic equipments based on the PIC18 family microcontrollers and C compiller MicroC PRO for PIC used for the creating of PIC microcontroller programs using C programming language have been studied as well. The development of concrete microcontroller programs dedicated to the processing of the analogue signals transmitted by the sensors and programs that are used for the time measurement, which can be employed during the research work, is studied.
Students must complete no less than 80% of the scheduled laboratory works -
AIAIM17093 6 credits
Satellite Navigation Methods and Systems
Module aim
To provide theoretical knowledge of modern satellite navigation systems, methods for navigation parameter measurement and for increasing accuracy, develop students’ understanding and skills in order to apply this and self-acquired knowledge while performing small scale scientific research and projects in fields connected with innovative satellite navigation system application, develop communication skills and the ability to publicly present course paper results.
Module description
To provide knowledge of modern satellite navigation systems, their space, ground-based control and management segments, user segment, system operation: signal characteristics, signal formation and transmission, on-board signal processing methods, devices, navigation parameter finding and application for aircraft navigation methods, navigation parameter bias sources, differential GPS stations, pseudolites, GPS extensions: broad zone differential GPS station networks (WAAS, EGNOS) and their signal usage; other features of modern satellite navigation systems, satellite navigation system development and application tendencies.
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AIAIM17092 3 credits
Master Research Work 2
Module aim
To enhance specialist knowledge in the field of electronic engineering and understanding of newest electronic aviation equipment, systems, measurement and diagnostic equipment when doing research on electronic aviation equipment or systems, acquire special and general skills for this work.
Module description
During the Final thesis 2 course knowledge of electronic aviation equipment and diagnostics, flight parameter measurement methods and research execution is enhanced. Skills of combining theory with practice, information technology application, literature and data evaluation and analysis and task planning are developed as well as a holistic approach. Students learn to analyze electronic aviation equipment or system and the collected data. Accurateness while preparing graphical and textual report of the analysis, responsibility for time planning and communicability while working in groups and presenting and defending the research are developed.
one of the following
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ELESM17215 6 credits
Algorithms and Data Structures
Module aim
To grasp fundamentals of one-dimensional and multidimensional data structures, to develop algorithms based on these data structures, and to apply these algorithms in structured and semistructured information search, data base indexing, digital image processing, computer graphics and vision, while being able to reason the chosen technical solutions.
Module description
In this course are presented logical and hierarchical data structures, sorting and search techniques and algorithms for sequence processing and compression. Reviewed applicability analysis of these basic algorithms for the construction of the more sophisticated application-oriented algorithms (structured and semistructured information search, data base indexing, digital image processing, computer graphics and vision).Effect of the nature of applications on algorithm formalization and their sophistication analysis is also presented. Students must complete all scheduled laboratory work. Students must attend at least 80% of the course laboratory and at least half of the lectures according to the semester schedule.
-
ELEIM17200 6 credits
Systemotechnique and Sensors
Module aim
To analyze principles of work of gauges and converters, to be able to project circuits of the automated measurement and control.
Module description
Resistive, inductive, capacitor, photoelectric gauges used in power electronics. DAC and ADC. Microprocessors and use of him for processing the information and control.
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ELEIM17256 6 credits
Modern Electric Drives
Module aim
Acquire knowledge about performance and control methods of modern electric drives; learn to use them in practice. Learn to choose drive and its elements according to specification of technological process. Acquire knowledge about vector and direct torque and flux control, sensor-less control, Fuzzy control and principles of development of Fuzzy controllers, learn to develop computer models of electric drives, and ability to work individually and in a team.
Module description
Fundamental Knowledge of Modern Electric Drives, Their Structure and Characteristics, and Drive Control Methods: Vector Control of Induction Drives, Direct Torque and Flux Control. Application of Fuzzy Logic in Electric Drive Control, Principles of Fuzzy Controller Design, Control of DC and Induction Drives Using Fuzzy Controllers. Sensorless Drives. Drives for Modern Tracking and Positioning Systems, as well as Mathematical and Simulation Models of Electric Drives.
one of the following
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ELESM17215 6 credits
Algorithms and Data Structures
Module aim
To grasp fundamentals of one-dimensional and multidimensional data structures, to develop algorithms based on these data structures, and to apply these algorithms in structured and semistructured information search, data base indexing, digital image processing, computer graphics and vision, while being able to reason the chosen technical solutions.
Module description
In this course are presented logical and hierarchical data structures, sorting and search techniques and algorithms for sequence processing and compression. Reviewed applicability analysis of these basic algorithms for the construction of the more sophisticated application-oriented algorithms (structured and semistructured information search, data base indexing, digital image processing, computer graphics and vision).Effect of the nature of applications on algorithm formalization and their sophistication analysis is also presented. Students must complete all scheduled laboratory work. Students must attend at least 80% of the course laboratory and at least half of the lectures according to the semester schedule.
-
ELEIM17200 6 credits
Systemotechnique and Sensors
Module aim
To analyze principles of work of gauges and converters, to be able to project circuits of the automated measurement and control.
Module description
Resistive, inductive, capacitor, photoelectric gauges used in power electronics. DAC and ADC. Microprocessors and use of him for processing the information and control.
-
ELEIM17256 6 credits
Modern Electric Drives
Module aim
Acquire knowledge about performance and control methods of modern electric drives; learn to use them in practice. Learn to choose drive and its elements according to specification of technological process. Acquire knowledge about vector and direct torque and flux control, sensor-less control, Fuzzy control and principles of development of Fuzzy controllers, learn to develop computer models of electric drives, and ability to work individually and in a team.
Module description
Fundamental Knowledge of Modern Electric Drives, Their Structure and Characteristics, and Drive Control Methods: Vector Control of Induction Drives, Direct Torque and Flux Control. Application of Fuzzy Logic in Electric Drive Control, Principles of Fuzzy Controller Design, Control of DC and Induction Drives Using Fuzzy Controllers. Sensorless Drives. Drives for Modern Tracking and Positioning Systems, as well as Mathematical and Simulation Models of Electric Drives.
one of the following
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AIAIM17094 6 credits
Aviation Navigation Equipment
Module aim
To provide theoretical knowledge and some practice about ground-based navigational beacons and corresponding on-board equipment, form cognition about their functioning principals, areas of their usage, possibilities and restrictions, develop abilities and skills for analysis and evaluation of perspectives of implementation of advanced radio-navigation systems and equipment.
Module description
History and development of radio-navigation facilities. Measurement systems of angles (NDB; VOR). Distance and distance difference measuring systems (DME; LORAN-C). Instrument landing systems (ILS/MLS). Autonomous on-board radio-navigation equipment.
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AIAIM17091 6 credits
Measurement of Electronic Aviation Systems
Module aim
Giving knowledge of law metrology of radio navigation beacons installation location method, location and location of objects affect beacons parameter estimation methods beacons parameters of flight tests, the test aircraft coordinate measurement methods and equipment and the skills this knowledge in an integrated application beacons flight test technology, and the payment of a motivated, self , creative and responsible work.
Module description
Methods for ground-based electronic beacon installation and assignment of frequency channel for a newly installed beacon; methods for evaluation of the impact of reflections from a locality and objects in a locality on beacon parameters; beacon parameter testing by test flight methods and equipment; satellite and other system methods and equipment usage for measurement of coordinates of the electronic beacon flight test aircraft, methods and possibilities of increasing accuracy of measurements; processing and usage of flight testing results.
3 Semester
obligatory
-
ELESM17303 9 credits
Embedded Systems Engineering
Module aim
To provide knowledge of embedded systems engineering, design of microcontrollers and field-programmable logic arrays and development of applications for them; to be able to apply embedded systems design and programming technologies with STM32CubeMX, STM32CubeIDE and Intel Quartus II, to be able to argue for the choices made, the reasons for the choices made, the assumptions, and the prospects for the choices.
Module description
Embedded systems are ubiquitous in today’s world, becoming smaller, more efficient, and faster, with increasingly diverse hardware, software, and communication methods. Developing these systems requires a critical evaluation and selection of efficient hardware, software, communication, and verification solutions to meet technical performance and cost targets.
The course’s laboratory exercises offer hands-on experience with hardware development kits with 32-bit microcontrollers and field-programmable gate arrays (FPGAs), alongside configuration, programming, and simulation software environments. This course emphasizes the engineering process of embedded systems, including design, implementation, verification, and documentation, as well as best practices of project management in embedded systems engineering.
Students must complete all scheduled laboratory work. Students must attend at least 80% of the course laboratory laboratory and at least half of the lectures according to the semester schedule. -
ELESM19306 9 credits
Microwave Electron Systems (with Course Project)
Module aim
The main aim is to learn individually or in the group to design, analyze and improve microwave electron systems or their parts, be able to ground selected decisions and their causes.
Module description
Knowledge about microwave electron systems created on the basis of passive and active devices, their organization and principles of operation, are acquired. Simulation with Matlab and special software of microwave electron systems or their parts, and application of microwave electron systems to generate, process and transmit signals of microwave range, are mastered. Students must complete all scheduled work. Students must attend at least 60 (or 70, 80… ) per cent of the practical exercises (practical work) and at least half of the lectures according to the semester schedule.
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ELESM17319 3 credits
Master's Research Work 3
Module aim
To continue preparation of Graduation Thesis according to the timetable, to append analytical review of scientific-technical information corresponding to chosen research topic, continue theoretical and experimental research according to Graduation Thesis task.
Module description
Acquiring new knowledge about design and programming of computerized electronic systems, scientific investigation and experimentation. Elevate ability to combine theoretical and practical elements, to apply information technologies, to assess and analyse literature and data. Preparation of second technical report.
obligatory
-
ELKRM17306 9 credits
Microcontrollers of ARM Architecture
Module aim
To learn the ARM microcontrollers principles, analyze their characteristics, choose the ARM family microcontroller for concrete application, develop and analyze programs and be able to substantiate solutions working individually or in the team.
Module description
The general knowledge about the ARM microcontrollers purpose, classification, architecture, functional blocks and programming are obtained in the ARM architecture microcontrollers course. The concrete representative of ARM microcontrollers family is studied and analyzed in details. The knowledge about the microcontroller features, hardware and software used for the editing and debugging of programs are delivered. The theoretical and practical skills of development of programs for the ARM microcontrollers are gained.
Students must complete no less than 60% of the scheduled laboratory works -
ELKRM21301 9 credits
Advanced Electronic Circuits and Systems 2 (with Course Project)
Module aim
To deepen the knowledge of the specialization in Electronic Engineering, necessary for conducting the development and application of new advanced electronic circuits and systems, modeling and analysis, as well as evaluating the impact of their development on meeting the future societal needs. Additionally, to foster the ability to creatively apply theoretical knowledge and research findings, and to enhance professional competence through lifelong learning.
Module description
In the course of Advanced Electronics Circuits and Systems 2, knowledge is deepened regarding the modeling and analysis methods of complex electronic devices and systems, their development, and application in 5G and 6G mobile wireless communication technologies, as well as intelligent transportation systems, Internet of Things, and ubiquitous internet technologies. Furthermore, the development of these systems and their impact on meeting societal needs are analyzed.
Students must complete no less than 80% of the scheduled laboratory works -
ELKRM17313 3 credits
Master's Research Work 3
Module aim
Aim of Master’s Graduation Work: Perform research in the application field of micro- and nano-electronic systems design, summarize research results and prepare technical report of Graduation Work demonstrating abilities to integrate knowledge acquired during studies, and worConducting research in the field of advanced electronics systems applications, summarizing research results, and preparing a final work description to demonstrate the ability to integrate accumulated knowledge during the study period and work independently or in a group, and by successfully defending the project, demonstrate that the goals of the study program have been achieved.
Aim of Master’s Research Work 3: To continue preparation of Graduation Thesis according to the timModule description
The latest news about advanced electronics system design, programming, economic analysis, management, scientific research, and experiments is being discussed. Skills in combining theoretical and practical elements, applying information technologies, evaluating literature and data, as well as their analysis, and project planning are being developed. An interim report is being prepared.
obligatory
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AIAIM17095 9 credits
Flight Parameters Measuring Systems (course project)
Module aim
To develop the application of aviation equipment, operating principles and understanding of the possibilities.
Module description
Issue (Air traffic), gyroscopic devices, compasses aero, engine operating parameters – temperature, pressure, speed is speed, fuel consumption, thrust and vibration measurement equipment. Emphasis is placed on them in practice.
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AIAIM17097 9 credits
Light Optics and Airfield Equipment
Module aim
To provide an update on the airfield light-optical systems and their design principles and methods of realization, and these methods into practice skills. To develop the professional capacity to effectively use the Airports light signaling systems for the management of aircraft and other traffic at airports.
Module description
The research methods knowledge of the airfield and the categories they use a light signal instruments for air traffic control. Arrangement of signal lights and air access area airfield, the main group of signal lights, categories and applications. Lights beam spatial distribution of visual driving zone concept. Aerodrome lights signal light sources, their operating principles.
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AIAIM17099 3 credits
Master's Research Work 3
Module aim
Research according to the project description.
Module description
Improving knowledge in the selected research field. Improving creative and innovation abilities, abilities to make models for analysis and processes in the research field. Improving abilities to make decisions. Preparing of the report.
one of the following
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ELKRM17307 6 credits
High-Frequency Circuits Design
Module aim
The goal of this course is to provide students with the opportunity to acquire and effectively apply high-frequency circuit design knowledge and skills, and to pursue continuous professional development in this field by analyzing best practices, solving practical problems, and creating high-value telecommunications devices and systems.
Module description
In the lectures of High-Frequency Circuits Design, knowledge is gained about the importance of evaluating the impedance when designing high-frequency circuits, the peculiarities and best practices of designing printed circuit boards are analyzed the necessity of matching transmitters-receivers and antennas is explained, the construction of Smith charts and their use in problem-solving is discussed, characterization of high-frequency circuits by S parameters is examined, high-frequency filters and transistor amplifiers are designed, and in practical works, various high-frequency circuits are measured and analyzed using vector network analyzers (VNA).
Students must participate in no less than 80% of the scheduled practical works. -
ELESM19308 6 credits
Evolutionary Computation and Agent Systems
Module aim
To learn define, project, create, improve and apply various evolutionary computation algorithms and agent systems, know how to explain proposed solutions, analyze examples, while working in a group or individually.
Module description
Evolutionary computation and agent systems module develops knowledge of genetic algorithms, evolutionary strategies, genetic programing, agents, multi-agent systems and other metaheuristics algorithm based system elements and working principles. In the study course, skills for analyzing specific examples, defining and understanding advantages and disadvantages of evolutionary algorithms are developed. Additionally, skills to practically apply evolutionary computation and agent systems using MATLAB software is improved, along with skills to practically solve tasks which require artificial intelligence. Students must complete all scheduled laboratory work. Students must attend at least 80% of the laboratory and at least half of the lectures according to the semester schedule.
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ELKRM17308 6 credits
Data Mining Techniques
Module aim
To provide knowledge about data mining methods used to reveal objectively existing patterns into various nature datasets, to develop the ability to select and apply the suitable data mining method for particular task.
Module description
Module content is focused on modern data mining techniques and their application to find previously unknown and potentially useful information analysing big data sets. Module content includes: data preprocessing and exploratory data analysis, classification methods (nearest neighbour’s method, naive Bayes classifier and decision trees), regression analysis, data clustering and evaluation of model performance.
Students must participate in no less than 80% of the scheduled practical works
one of the following
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ELKRM17307 6 credits
High-Frequency Circuits Design
Module aim
The goal of this course is to provide students with the opportunity to acquire and effectively apply high-frequency circuit design knowledge and skills, and to pursue continuous professional development in this field by analyzing best practices, solving practical problems, and creating high-value telecommunications devices and systems.
Module description
In the lectures of High-Frequency Circuits Design, knowledge is gained about the importance of evaluating the impedance when designing high-frequency circuits, the peculiarities and best practices of designing printed circuit boards are analyzed the necessity of matching transmitters-receivers and antennas is explained, the construction of Smith charts and their use in problem-solving is discussed, characterization of high-frequency circuits by S parameters is examined, high-frequency filters and transistor amplifiers are designed, and in practical works, various high-frequency circuits are measured and analyzed using vector network analyzers (VNA).
Students must participate in no less than 80% of the scheduled practical works. -
ELESM19308 6 credits
Evolutionary Computation and Agent Systems
Module aim
To learn define, project, create, improve and apply various evolutionary computation algorithms and agent systems, know how to explain proposed solutions, analyze examples, while working in a group or individually.
Module description
Evolutionary computation and agent systems module develops knowledge of genetic algorithms, evolutionary strategies, genetic programing, agents, multi-agent systems and other metaheuristics algorithm based system elements and working principles. In the study course, skills for analyzing specific examples, defining and understanding advantages and disadvantages of evolutionary algorithms are developed. Additionally, skills to practically apply evolutionary computation and agent systems using MATLAB software is improved, along with skills to practically solve tasks which require artificial intelligence. Students must complete all scheduled laboratory work. Students must attend at least 80% of the laboratory and at least half of the lectures according to the semester schedule.
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ELKRM17308 6 credits
Data Mining Techniques
Module aim
To provide knowledge about data mining methods used to reveal objectively existing patterns into various nature datasets, to develop the ability to select and apply the suitable data mining method for particular task.
Module description
Module content is focused on modern data mining techniques and their application to find previously unknown and potentially useful information analysing big data sets. Module content includes: data preprocessing and exploratory data analysis, classification methods (nearest neighbour’s method, naive Bayes classifier and decision trees), regression analysis, data clustering and evaluation of model performance.
Students must participate in no less than 80% of the scheduled practical works
one of the following
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AIAIM17096 6 credits
Aviation Computer Systems
Module aim
To deliver for students the main knowledge about modern computer systems, to deliver for students the single-purpose knowledge about aviation above-ground and aircrafts computer systems, to acquire the student’s abilities to understand the modern aviation computer technique, including the latest scientific researches, to structure the students comprehension and the skills of inovations, what will be used at the practical work.
Module description
Aviation computer systems subject have been delivered for student the main knowledge about microprocessor’s architectures, their memories architectures, multiprocessors computers, computers nets, single-purpose aviation databuses, air trafic control computer systems EUROCAT 200 and EUROCAT X, air traffic control service equipment, aircraft’s BOEING and AIRBUS flight control computer systems.
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AIAIM17098 6 credits
Radar Theory and On-Board Systems
Module aim
To deliver for students the main knowledge about radar’s theory, overground and on-board radars and on- board devices, that operation is based on radar principles, to develop their abilities to combine the theory and practise elements, to acquire them of the using of literature and to acquire them work absolutely.
Module description
Radar’s theory and on-board radar systems subject have been delivered the main knowledge about radars, their methods, classification, the main performances, the methods of their the protection from radio interference, primary and secondary surveillance radars, the parts ones are consisted, aircraft’s Dopler effect based speed and drift meters, low altitude meters.
Free choice
Free choice
4 Semester
obligatory
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ELESM17401 30 credits
Master Graduation Thesis
Module aim
Perform research in the application field of electronics engineering, summarize research results and prepare technical report of Graduation Thesis demonstrating abilities to integrate knowledge acquired during studies, and work individually or in team, and by successful defence of Master’s Graduation Thesis proof achievement of study program goals.
Module description
Completion of planed research, preparation of planned of economical, environmental impact and human safety analysis, preparation of final technical report and graphical material of Graduation Thesis, preparation presentation for Graduation Thesis defence and presentation during public defence. Abilities to thoroughly prepare graphical and textual documentation, to responsibly schedule own work and time, to be communicative working in a team and making oral presentation, are developed.
obligatory
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ELKRM17403 30 credits
Master Graduation Thesis
Module aim
Perform research in the application field of micro- and nano-electronic systems design, summarize research results and prepare technical report of Graduation Work demonstrating abilities to integrate knowledge acquired during studies, and work individually or in team, and by successful defence of Master’s Graduation Work proof achievement of goals of study program.
Module description
Completion of planed research, preparation of planned of economical, environmental impact and human safety analysis, preparation of final technical report and graphical material of Graduation Work, preparation presentation for Graduation Thesis defence and presentation during public defence. Abilities to thoroughly prepare graphical and textual documentation, to responsibly schedule own work and time, to be communicative working in a team and making oral presentation, are developed.
obligatory
-
AIAIM17100 30 credits
Master Graduation Thesis
Module aim
To enhance specialist knowledge in the field of electronic engineering and understanding of newest radio-navigation, radiolocation, flight parameter measurement, diagnostic methods and fields of their application, acquire special and general skills for this work and with the Final thesis prove that acquired study competences and skills conform to the requirements to obtain a Master’s degree in electronic engineering.
Module description
During the Final thesis 1course knowledge of the newest electronic aviation equipment and diagnostic system research data selection and research execution is enhanced. Skills of combining theory with practice, information technology application, literature and data evaluation and analysis and task planning are developed as well as a holistic approach. Students learn to analyze electronic aviation equipment or system and the collected data. Accurateness while preparing graphical and textual report of the analysis, responsibility for time planning and communicability while working in groups and presenting and defending the research are developed.
Statistics
| Metric | Value |
|---|---|
| Enrolled students | 8 |
| Enrolled to FT | 8 |
| Min FT grade | 8.64 |