Mechatronic Modules and Systems

Major: Information Technologies in Instrument Engineering
Code of subject: 7.152.05.O.006
Credits: 7.00
Department: Department of Intelligent Mechatronics and Robotics
Lecturer: Boyko T., Mokrytskyi V.
Semester: 1 семестр
Mode of study: денна
Мета вивчення дисципліни: The purpose of the course is to provide students with a complex of knowledge about precision mechatronics and artificial intelligence, which is used in the formation of intelligent mechatronic modules and systems, to acquire practical skills and abilities in the principles of construction, functioning and application of mechatronic modules and systems, to familiarize themselves with mechatronic design technologies and control methods in intelligent mechatronic and robotic systems.
Завдання: The study of an educational discipline involves the formation of competencies in students of education: general competences: • knowledge and understanding of the subject area and understanding of professional activity (ZK01); • skills in using information and communication technologies (ZK03); • the ability to identify, pose and solve problems (ZK06). professional competences: • knowledge and understanding of scientific facts, concepts, theories, principles and methods of experimental informatics (FC03); • the ability to apply a comprehensive approach to solving experimental tasks using information and measurement equipment and application software (FK07); • the ability to demonstrate knowledge and understanding of mathematical principles and methods necessary for the creation of virtual means of measurement and information-measuring technology (FK08); • the ability to develop software, hardware and metrological support for computerized information and measurement systems (FC09). professional competences of a professional direction: • basic knowledge of scientific concepts, theories and methods necessary for understanding the functional purpose, principles of construction and operation of the means of information support of mechatronic and robotic systems (FCS1.1.); • the ability to use modern software to create, process and analyze mathematical models of information support in mechatronics and robotics, use modern engineering and mathematical packages to create virtual mechatronic devices and systems and analyze physical quantities used in scientific experiments, real laboratory and industrial installations (FCS1.4); • The ability to conduct an experimental study of the means of information support in mechatronics and robotics, document the results of the experiment and draw conclusions based on their analysis (FCS1.6).
Learning outcomes: As a result of studying of discipline students should know: - the principles of building of intelligent mechatronic systems. - fundamentals of intelligent core of the system; - fundamentals of simulation of intellectualthe system; - methods of organization of intellectual systems and analysis of their effectiveness.
Required prior and related subjects: Mathematics 2 (Mathematical analysis 1) Foundation of Mechatronics
Summary of the subject: The discipline is designed to provide students with knowledge of the principles of construction, functioning and ways of development of mechatronic and robotic systems, methods and means of controlling them, innovations in their application.
Опис: The discipline provides students with the study of basic concepts related to artificial intelligence and its current state of development, as a basis for the creation of intelligent mechatronic modules and systems. The discipline is designed to give students the basics of intelligent mechatronic modules and systems, in particular those built using neural networks, as well as the concept of collective artificial intelligence and its current state of development. Attention is focused on the implementation of mechatronic systems and modules using intelligent agents.
Assessment methods and criteria: Knowledge assessment methods: selective oral survey, tests. Exam: written test control, oral survey
Критерії оцінювання результатів навчання: Maximum score in points Current control (PC): 1. Oral survey - 6 points 2. Current test control – 10 points 3. Laboratory works - 24 points Total per PC - 40 points Examination control (EC) 1. Written component - 50 points 2. Oral component - 10 points Total for EC - 60 points A total of 100 points per discipline
Порядок та критерії виставляння балів та оцінок: 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 relationship 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. Russell, Stuart J.; Norvig, Peter (2010). Artificial Intelligence: A Modern Approach (3rd ed.). Upper Saddle River: Prentice Hall. ISBN 9780136042594. 2. Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence. Couverture. Gerhard Weiss. MIT Press, 2013, 2nd edition, ISBN 978-0-262-01889-0 3. http://aima.cs.berkeley.edu/ 4. Loveykin V. S. Mechatronics: teaching. guide / V. S. Loveykin, Yu. O. Romasevich, Yu. V. Chovnyuk. - Kyiv: CP Comprint, 2012. - 358 p. 5. Tsvirkun L. I. Robotics and mechatronics: teaching. village /L. I. Tsvirkun, H. Gruler; National mining university - 2nd ed., ed. - Dnipropetrovsk: NSU, 2010. - 224 p. 6. ni.com/russia. LabVIEW - Introductory course
Уніфікований додаток: Lviv Polytechnic National University ensures the realization of the right of persons with disabilities to obtain higher education. Inclusive educational services are provided by the "Without Limits" accessibility to learning opportunities service, the purpose of which is to provide permanent individual support for the educational process of students with disabilities and chronic diseases. An important tool for the implementation of the inclusive educational policy at the University is the Program for improving the qualifications of scientific and pedagogical workers and educational and support staff in the field of social inclusion and inclusive education. Contact at the address: st. Karpinsky, 2/4, 1st floor, room 112E-mail: (hidden) Websites: https://lpnu.ua/nolimits https://lpnu.ua/integration
Академічна доброчесність: The policy regarding the academic integrity of the participants of the educational process is formed on the basis of compliance with the principles of academic integrity, taking into account the norms "Regulations on academic integrity at the Lviv Polytechnic National University" (approved by the academic council of the university on June 20, 2017, protocol No. 35).

Mechatronic Modules and Systems (курсовий проект)

Major: Information Technologies in Instrument Engineering
Code of subject: 7.152.05.O.007
Credits: 3.00
Department: Department of Intelligent Mechatronics and Robotics
Lecturer: Mokrytskyi V.O.
Semester: 1 семестр
Mode of study: денна
Мета вивчення дисципліни: The purpose of the course is to provide students with a complex of knowledge about precision mechatronics and artificial intelligence, which is used in the formation of intelligent mechatronic modules and systems, to acquire practical skills and abilities in the principles of construction, functioning and application of mechatronic modules and systems, to familiarize themselves with mechatronic design technologies and control methods in intelligent mechatronic and robotic systems.
Завдання: The study of an educational discipline involves the formation of competencies in students of education: general competences: • knowledge and understanding of the subject area and understanding of professional activity (ZK01); • skills in using information and communication technologies (ZK03); • the ability to identify, pose and solve problems (ZK06). professional competences: • knowledge and understanding of scientific facts, concepts, theories, principles and methods of experimental informatics (FC03); • the ability to apply a comprehensive approach to solving experimental tasks using information and measurement equipment and application software (FK07); • the ability to demonstrate knowledge and understanding of mathematical principles and methods necessary for the creation of virtual means of measurement and information-measuring technology (FK08); • the ability to develop software, hardware and metrological support for computerized information and measurement systems (FC09). professional competences of a professional direction: • basic knowledge of scientific concepts, theories and methods necessary for understanding the functional purpose, principles of construction and operation of the means of information support of mechatronic and robotic systems (FCS1.1.); • the ability to use modern software to create, process and analyze mathematical models of information support in mechatronics and robotics, use modern engineering and mathematical packages to create virtual mechatronic devices and systems and analyze physical quantities used in scientific experiments, real laboratory and industrial installations (FCS1.4); • The ability to conduct an experimental study of the means of information support in mechatronics and robotics, document the results of the experiment and draw conclusions based on their analysis (FCS1.6).
Learning outcomes: As a result of studying the discipline the student must: • be able to perform analysis of engineering products, processes and systems according to established criteria, select and apply the most appropriate analytical, calculation and experimental methods for research, interpret research results • know the basics of intelligent mechatronic systems, in particular those built using neural networks, as well as the concept of collective artificial intelligence and its current state of development • calculate, design, design, research, operate, repair, debug typical for the chosen specialization measuring instruments using the software environment LabVIEW company National Instruments
Required prior and related subjects: – prerequisites: Fundamentals of mechatronics. Unifying converting devices of mechatronics. Mechatronic modules and systems, part 1 – corequisites: Design of mechatronic and robotic systems. Modern technologies of designing information instrument-making systems
Summary of the subject: Directions and principles of development of technical modular systems. Technology of virtual devices and application of LabVIEW software environment in designing mechatronic systems. Methods of control of mechatronic systems. Intelligent mechatronic control systems. Ways to organize the interaction between the elements of the mechatronic system
Опис: Designing the information and measurement channel of a mechatronic system using virtual tools in the LabVIEW software environment
Assessment methods and criteria: Knowledge assessment methods: Ongoing step-by-step control and consultations in the course project implementation process. Semester differentiated assessment with a demonstration of the designed virtual information and measurement channel of a mechatronic system in the LabVIEW environment
Критерії оцінювання результатів навчання: Differentiated assessment based on the defense of the course project with the maximum possible score of 100 points
Порядок та критерії виставляння балів та оцінок: 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 relationship 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: • Технологія віртуальних приладів і застосування програмного середовища LabVIEW при проектуванні мехатронних систем. Метод. вказівки до практичних занять з курсу “Мехатронні модулі та системи” (ч. 2) для студентів спеціальності 152 Метрологія та інформаційно-вимірювальна техніка зі спеціалізацією 152.05 Інформаційні технології в приладобудуванні /Укл.: В.О.Мокрицький.– Львів: НУЛП, 2021. - 26 с.. • ni.com/russia. LabVIEW – Вводный курс. • Ловейкін В. С. Мехатроніка: навч. посібник / В. С. Ловейкін, Ю. О. Ромасевич, Ю. В. Човнюк. – Київ : ЦП Компринт, 2012. – 358 с. • Дорожовець М.М., Івахів О.В., Мокрицький В.О. Уніфікуючі перетворювачі інформаційного забезпечення мехатроннихї систем: Навч. посібник – Львів, вид-во національного університету «Львівська політехніка», 2009. – 304 с.
Уніфікований додаток: Lviv Polytechnic National University ensures the realization of the right of persons with disabilities to obtain higher education. Inclusive educational services are provided by the "Without Limits" accessibility to learning opportunities service, the purpose of which is to provide permanent individual support for the educational process of students with disabilities and chronic diseases. An important tool for the implementation of the inclusive educational policy at the University is the Program for improving the qualifications of scientific and pedagogical workers and educational and support staff in the field of social inclusion and inclusive education. Contact at the address: st. Karpinsky, 2/4, 1st floor, room 112E-mail: (hidden) Websites: https://lpnu.ua/nolimits https://lpnu.ua/integration
Академічна доброчесність: The policy regarding the academic integrity of the participants of the educational process is formed on the basis of compliance with the principles of academic integrity, taking into account the norms "Regulations on academic integrity at the Lviv Polytechnic National University" (approved by the academic council of the university on June 20, 2017, protocol No. 35).