Modern Design Technologies of Instrument Engineering Systems
Major: Information Technologies in Instrument Engineering
Code of subject: 7.152.05.E.020
Department: Department of Intelligent Mechatronics and Robotics
Lecturer: Ivakhiv Orest, Hirniak Yurii
Semester: 2 семестр
Mode of study: денна
Завдання: The study of an academic discipline involves the formation and development of students' competencies: general: • apply basic knowledge of the fundamental sections of mathematics (ZK-5) in the necessary volume to specific tasks of the chosen profession; • work with a computer, apply knowledge in the field of informatics and modern information technologies (ZK-6, ZK-14); • collect, analyze and systematize scientific and technical information (ZK-10); professional: • apply regulatory and legal acts and reference materials, standards and technical conditions, instructions (SK-2); • use information technologies and software to create, develop and analyze mathematical models of mechatronics tools (SK-14); • to conduct experimental research of mechatronic systems in the field of automation and instrumentation, document the results of the experiment, practically apply the acquired skills and skills of comparing the results of the experiment and theoretical studies, formulating research conclusions to solve specific applied problems (SK-16); • practically apply the acquired skills and abilities of comparing the results of experiments and theoretical studies and formulating research conclusions to solve specific applied problems, to collect and analyze scientific and technical information on the subject of research, taking into account modern development trends and achievements of science, engineering and technology in professional activity; conduct a patent search in order to assess the patentability of the designed means (CK-19).
Learning outcomes: 1. Knowledge and understanding of mathematical principles underlying modern modeling technologies in the design of mechatronic systems. 2. Knowledge of methods of forming, processing and analyzing signals of mechatronic systems. 3. Knowledge and skills in conducting experiments, collecting, accumulating and processing data and modeling mechatronic systems. As a result of studying the academic discipline, the student should be able to demonstrate the following learning outcomes : - knowledge of the basics of signal conversion; - knowledge of the basics of discretization, quantization and restoration of signals; - knowledge of signal filtering methods; - the ability to use computing tools to design mechatronic systems; - the ability to use the methodology of artificial neural networks to model mechatronic systems; - the ability to use the methodology of fuzzy sets to model mechatronic systems.
Required prior and related subjects: Modeling in instrument engineering Technology of mechatronic means Computer modeling of mechatronic assemblies Information support for design, manufacture, testing of instrument-making products Modeling of electronic nodes Modeling of heterogeneous computer systems
Summary of the subject: The discipline covers the basic concepts of modern technologies of information support of mechatronic system design processes.
Опис: Information technologies and their use in the design of modern mechatronic systems. The use of artificial neural networks for modeling mechatronic systems. Architecture of artificial neural networks. Methods of learning artificial neural networks. Basic concepts of the theory of fuzzy sets. Using the methodology of fuzzy sets to model mechatronic systems. Methodology of forming processes in the theory of fuzzy sets. Designing artificial neural networks with fuzzy logic. Prospects of information support for the design of modern mechatronic systems.
Assessment methods and criteria: Current control. • Semester assessment.
Критерії оцінювання результатів навчання: The evaluation of learning results is carried out in accordance with the quality and completeness of the tasks of current control, calculation-graphic, course, credit control, qualification works, as well as the defense of course and qualification works; for homework - 75 points; according to the test results - 25 points Total for the discipline - 100 points
Порядок та критерії виставляння балів та оцінок: The procedure and criteria for assigning points and assessments 100–88 points – (“excellent”) is awarded for a high level of knowledge (some inaccuracies are allowed) of the educational material of the component contained in the main and additional recommended literary sources, the ability to analyze the phenomena being studied in their interconnection and development, clearly, succinctly, logically, consistently answer the questions, the ability to apply theoretical provisions when solving practical problems; 87–71 points – (“good”) is awarded 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 when solving practical tasks; 70 – 50 points – (“satisfactory”) awarded for weak knowledge of the component’s educational material, inaccurate or poorly reasoned answers, with a violation of the sequence of presentation, for weak application of theoretical provisions when solving practical problems; 49-26 points - ("not certified" with the possibility of retaking the semester control) is awarded for ignorance of a significant part of the educational material of the component, significant errors in answering questions, inability to apply theoretical provisions when solving practical problems; 25-00 points - ("unsatisfactory" with mandatory re-study) is awarded for ignorance of a significant part of the educational material of the component, significant errors in answering questions, inability to navigate when solving practical problems, ignorance of the main fundamental provisions.
Recommended books: 1. Дорожовець М. Уніфікуючі перетворювачі інформаційного забезпечення мехатронних систем. Посібник / М. Дорожовець, О.Івахів, В.Мокрицький - Львів: Видавництво Львівської політехніки, 2007. 2 Дорожовець М. Аналогово-цифрові перетворювачі. Навчальний посібник / М. Дорожовець, В.Мокрицький - Львів: Видавництво Львівської політехніки, 2013. 3 М. Сявавко. Математика прихованих можливостей. Навчальний посібник – Острог: Видавництво НУ «Острозька академія», 2011. 4 Глибочець М. Штучний інтелект. Підручник / М.Глибочець, О.Олецький – Київ: Видавничий дім «КМ Академія», 2002. 1. Л. Рабинер, Б. Гоулд. Теория и применение цифровой обработки сигналов.М.:Мир, 1978. 2. Антонью А. Цифровые фильтры: Анализ и проектирование: Пер с англ. - М.: Радио и связь, 1983. 3. Цифровая обработка сигналов. Справочник / Л.М. Гольденберг, Б.Д.Матюшкин, М.И.Поляк.- М. Радио и связь, 1985. 4. М. Сявавко, О. Рибицька. Моделювання за умов невизначеності. – Львів: Українські технології, 2000. 5. О. Рибицька, М. Сявавко. Математичні аспекти відновлення інформації. – Львів: Растр-7,2008. 6. М. Сявавко. Інтелектуалізовано інформаційна система «Нечіткий експерт». – Львів:Видавничий центр ЛНУ імені Івана Франка, 2007.
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