Home/ Majors directory/Telecommunications and Radio Engineering/Modelling of Radio Electronic Devices
Modelling of Radio Electronic Devices
Major: Telecommunications and Radio Engineering
Code of subject: 6.172.05.E.108
Credits: 4.00
Department: Electronics and Information Technology
Lecturer: Hlinenko Larysa
Semester: 6 семестр
Mode of study: денна
Завдання: Studying the discipline involves the development of student competencies:
general competences:
- GC1. Ability to abstract thinking, analysis and synthesis;
- GC7. Ability to learn and master modern knowledge;
- GC8. Ability to identify, formulate and solve problems
- GCI3. Ability to systematic thinking.
professional competences:
- PC4. Ability to perform computer modelling of devices, systems and processes using universal application software packages;
- PC5.1. Ability to model and optimise electronic devices at different stages of design; synthesise a circuit diagram and electronic device, develop printed circuit boards using computer-aided design packages
Learning outcomes: By the end of the study, learners are expected to:
– know fundamentals of methodology of engineering system modelling, apply the system approach to the radioelectronic devices modelling;
– be able to create and investigate the mathematical models of the of radioelectronic devices; to apply the acquired theoretical knowledge and skills in various domains;
– be able to identify and solve the problems of optimization of radioelectronic devices applying modern information technologies;
– be able to apply the acquired modelling skills in the process of analysis and synthesis of the of radioelectronic systems and their constituents;
– be able to present modelling results and to substantiate the conclusions while discussing them with other students.
As a result of studying the discipline, the student must be able to demonstrate the following programme learning outcomes
PLO 1. GC10. Ability to demonstrate knowledge and skills in conducting experiments, data collection and modelling of electronic and telecommunication systems and networks
PLO 2. SC1. To analyse, argue, make decisions in solving specialised problems and practical problems of telecommunications and radio engineering, which are characterised by complexity and incomplete certainty of conditions
PLO 3. SC 13. Apply knowledge and understanding to solve problems of synthesis and analysis in information and communication systems that are characteristic of the chosen specialisation
PLO 4. SC 14. To think systematically and apply creative abilities to the formation of fundamentally new ideas
PLO 5. AiB2. Ability to recognise the need for lifelong learning in order to deepen acquired and acquire new professional knowledge
Required prior and related subjects: – Higher mathematics
– Fundamentals of informational technologies and electronic engineering
– Radioelectronic apparatus design
– Radioelectronic apparatus development
- Databases in information and computer systems
Summary of the subject: The course studies the basics of the methodology of modelling the technical systems and physical processes used in the development of constructions and in technology of manufacturing electronic devices and systems. The essence and general principles of technical systems modelling; characteristics, stages and tools for constructing mathematical models are considered. The course includes the study of the fundamentals of graph theory and the representation of mathematical models as graphs; principles and tools for modelling physical subsystems of radioelectronic systems at macro and micro levels, the basics of building mathematical models based on experimental dependencies. The basic models of optimisation problems in the design of electronic devices and means of computer support for their solution are studied as well.
Опис: 1. Technical systems as an object of modelling. Basic concepts of system theory. The concept of system and technical system (TS). Properties and characteristics of TS. Large complex systems. Radioelectronic systems as a type of large complex TS.
2. Fundamentals of model construction theory. Basic concepts and approaches to modelling TS. The concept of model and modelling. Theory of model building. Modelling as a way of cognising reality. Model as a structure for storing and acquiring knowledge. Conditions of adequacy and interpretability of the model. The main stages of the modelling process.
3. Classification and ways of representing models. Representation and methods of model research. Semantics and syntax of models. Methods of studying TS when building models (at the empirical, theoretical levels). Classification of models (by syntax and research method). Material and ideal models and their types.
4. Mathematical models and modelling. The concept of a mathematical model. The process of creating a mathematical model. Ways of representing objects in mathematical models, forms of recording. Classification and classification features of mathematical models. Basic requirements for mathematical models and their characteristics: accuracy, efficiency, adequacy, area of adequacy. Acceptable area of model adequacy and methods of its determination.
5. Representation of mathematical models in the form of graphs. Fundamentals of graph theory. Basic concepts of graph theory. Properties and types of graphs. Trees of a graph. Representation of information given by a graph in numerical form. Matrices of incidents, adjacencies, contours and intersections (M-matrix) and rules for their construction. Characteristics of graphs and their identification based on the analytical representation of graphs.
6. Calculation (mathematical) models of electronic equipment. The concept of a design model of the RES and means of construction. Classification. The first and second unified forms of structural models, their comparative characteristics, algorithms for building
7. Mathematical modelling of a deterministic system at the macro level. Basic physical subsystems and their component and topological equations. Analogies between phase variables for different physical subsystems. Methods of obtaining and forms of topological equations. Obtaining topological equations on the basis of the M-matrix.
8. Equivalent circuits of physical subsystems of electronic devices. Basic notation, purpose and algorithm of construction for different subsystems. Modelling of connections between subsystems of different nature. Gyrator and transformer connections and their reflection in equivalent circuits.
9. Methods of building mathematical models at the macro level. Generalised method of forming mathematical models of TS at the macro level. Modifications of the generalised method. Methods of algebraisation of equations. Construction of a mathematical model of the system by tabular methods. Method of nodal potentials and modified nodal method. Method of state variables.
10. Fundamentals of construction and identification of objects and parameters of mathematical models based on experimental dependencies. Statistical modelling. Conducting an experiment and statistical processing of the experimental results. Fundamentals of correlation and regression analysis, development and analysis of regression models.
11. Modelling of decision-making problems (MDP). Computer support for solving optimisation problems with standard engineering calculation programmes. Optimisation problems in the design of electronic devices. Modelling of optimisation problems as mathematical programming problems and computer support for their solution by Microsoft Excel Solver and ORMM add-ins.
12. Modelling of REA using theories of similarity and dimensionality. Algorithm of constructing a mathematical model by the method of dimensionality.
Assessment methods and criteria: Oral and written examinations while performing and defending practical tasks, control quizzes, testing in the VLE
Критерії оцінювання результатів навчання: Current control (CC)
Performing laboratory work - 20 points
Performing individual tasks - 20 points
Current (by topics) and intermediate control testing in the VLE - 20 points
Control testing and assignments - 40 points
Total for the discipline - 100 points
100-88 points - ("excellent") is assigned for a high level of knowledge (some inaccuracies are allowed) of the educational material of the component contained in the main and additional recommended literature sources, the ability to analyse the phenomena studied in their interconnection and development, clearly, concisely, logically, consistently answer the questions posed, the ability to apply theoretical provisions in solving practical problems; 87-71 points - ("good") is given for a generally correct understanding of the educational material of the component, including calculations, reasoned answers to the questions posed, which, however, contain certain (insignificant) shortcomings, for the ability to apply theoretical provisions in solving practical problems; 70 - 50 points - ("satisfactory") is assigned for poor knowledge of the educational material of the component, inaccurate or poorly reasoned answers, with a violation of the sequence of presentation, for poor application of theoretical provisions in solving practical problems; 49-26 points - ("not certified" with the possibility of retaking the semester control) is assigned for ignorance of a significant part of the educational material of the component, significant errors in answering questions, inability to apply theoretical provisions in solving practical problems; 25-00 points - ("unsatisfactory" with mandatory re-study) is assigned for ignorance of a significant part of the component's educational material, significant errors in answering questions, inability to navigate when solving practical problems, ignorance of the main fundamental provisions.
Порядок та критерії виставляння балів та оцінок: Grades for laboratory work are assigned on the basis of determining the correctness, completeness and independence of the solutions obtained for each task:
- the results obtained are correct, complete and obtained independently - 100% of the maximum score;
- the results are correct, complete and obtained with significant assistance and correction from the teacher - 90% of the maximum score;
- the solutions obtained in the work are correct, but incomplete and obtained with significant help and correction from the teacher - 75% of the maximum score;
- the results obtained contain errors, but the approach to obtaining a solution and the use of tools for obtaining the solution are correct - 50% of the maximum mark.
Current and control testing is conducted in the Virtual Learning Environment and the grade is assigned automatically for all test tasks. For essay type tasks, 100% of the maximum score is assigned in the manual assessment mode for a totally correct and complete solution, 85% for a generally correct solution with minor errors in calculations; 75% for an incomplete solution with some errors with a generally correct approach to the solution; 50% for significant errors and an incomplete solution with a correct approach; 30% for formulating a correct approach without implementing the solution.
Recommended books: 1. Гліненко Л.К., Сухоносов О.Г. Основи моделювання технічних систем. - Навчальний посібних для студентів вузів технічних спеціальностей. - Львів: “Ніка-ПЛЮС”. - 1999. - 204 с.
2. Томашевський В.М. Моделювання систем. Підручник для студентів ВНЗ. – К.: Видавнича група BHV. – 2007. – 352 с., іл
3. Павлиш В.А., Гліненко Л.К. Основи інформаційних технологій і систем: навч. посібник / В.А.Павлиш, Л.К. Гліненко. - Львів: Видавництво львівської політехніки, 2013. - 500 с.
4. Методи оптимізації і дослідження операцій: Навч. посіб. для студ. вищ. навч. закл. / Н. О. Гончарова, А. І. Ігнатюк, Н. А. Ма- лиш та ін. — К.: МАУГІ, 2005. — 304 с.
5. Гліненко Л.К. Автоматизація розв’язання екстремальних задач на графах у конструкторському проектуванні РЕА / Л.К.Гліненко, В.М.Фаст. Вісник НТУ України “Київський політехнічний інститут” Серія “Радіотехніка. Радіоапаратобудування”. - 2013.- Вип. 54- С. 90-101.
6. Гунько С. Особливості використання табличного процесора Microsoft Excel для статистичного аналізу емпіричних даних //С.Гунько // Науковий вісник Східноєвропейського національного університету імені Лесі Українки. – 2014. - № 8. – C. 41-44.
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