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Experiment Plan and Study Research Results
Major: Computerized Control Systems and Automatics
Code of subject: 7.151.06.O.008
Credits: 4.00
Department: Computerized Automatic Systems
Lecturer: Myshchyshyn V.M.
Semester: 2 семестр
Mode of study: денна
Завдання: 2.2. Tasks of the academic discipline in accordance with the educational program
The study of an academic discipline involves the formation and development of students' competencies:
integral competence (INT): the ability to solve complex scientific tasks and practical problems during professional and scientific activities in the field of "Automation and Instrumentation" or in the learning process, which involves the application of theories and methods of digital signal processing and images, synthesis of digital control systems, design of robotic complexes of flexible automated production, mathematical modeling, intelligent control technologies, experiment planning and processing of research results.
general competences (CG):
2) ability to apply knowledge in practice;
4) have research skills;
5) have skills in project development and management;
8) knowledge of another foreign language(s);
11) potential for further education;
12) responsibility for the quality of the work performed.
professional competences of the specialty (FC):
4) the ability to assess the impact of scientific development on the environment and responsibility for the negative impact and safety of the developed technical solution;
7) the ability to use knowledge of the subject field, fundamental sciences, the ability and skills to determine goals and tasks for the selection of technical, informational and organizational support when designing computer-integrated automation systems;
professional competences of specialization (FCS):
1) the ability to use and implement new technologies, to participate in the modernization and reconstruction of equipment, devices and automation systems, robotic complexes of flexible automated production;
4) the ability to use modern methods and approaches to optimize dynamic systems;
7) the ability to research analytical models of automatic control systems using neural networks and elements of fuzzy logic;
8) the ability to use modern methods of processing signals and images in computer-integrated automation systems and robotic complexes of flexible automated production;
Learning outcomes: As a result of studying the academic discipline, the student must be able to demonstrate the following learning outcomes:
to know: – basic concepts and terminology of the theory of multivariate experiment; – modern approaches in the theory of experiment, application of multifactorial experiment in solving various engineering tasks; – basic hardware and software tools for conducting a full factorial experiment.
be able to: – plan a full factorial experiment; -use principles of organization and processing of research results of full and fractional factorial experiments to obtain a mathematical description of devices for the purpose of studying the principle of their operation, optimization, research of accuracy and parametric reliability; - monitor the conduct of the experiment, diagnose and solve problems.
As a result of the study of the academic discipline, the student must be able to demonstrate the following educational results:
knowledge (Knowledge):
1) thorough knowledge of scientific concepts, theories and methods necessary for research and synthesis of computer-integrated automation systems and robotic complexes of flexible automated production;
3) to know the main technical and economic characteristics of systems and software and technical means of automation of measurements, control and diagnostics, methods of their improvement;
4) know the life cycle of integrated automated control systems; content and sequence of procedures for building functional and structural schemes of computer-integrated control systems and robotic complexes of flexible automated production;
skill (UM):
1) be able to choose the necessary signal conversion method, perform signal conversion from one area to another, perform digital filtering and compression of signals, in particular, image signals;
communication (COM):
2) the ability to use various methods, in particular information technologies, for effective communication at the professional and social levels.
autonomy and responsibility (AiV):
2) the ability to realize the need for lifelong learning in order to deepen acquired and acquire new professional knowledge;
4) the ability to demonstrate an understanding of the basic principles of occupational health and safety and their application.
Required prior and related subjects: 1. Modeling and Optimization of Control System.
2. Electronics and Microcircuits Engineering.
3. Automatic Control Theory
Summary of the subject: On the basis of the modern theory of the experiment, the use of multifactor experiment in solving engineering problems discussed methods to obtain mathematical description of the devices to explore the principle of operation, optimization, parametric study of accuracy and reliability
Опис: Educational discipline SK2.6. "Experiment planning and processing of research results" is included in the cycle of professional training disciplines according to the list of the master's educational and professional program under the System Engineering (Internet of Things) educational program. In the structural and logical scheme of education, the specified discipline is placed in the 5th course.
In the course of study, students are introduced to the modern theory of the experiment, the application of multifactorial experiments in solving various engineering tasks, the methods of obtaining a mathematical description of devices are considered in order to study the principle of their operation, optimization, research of accuracy and parametric reliability, and further use of the acquired knowledge in various fields science and technology.
Assessment methods and criteria: Check availability and practical work, exam. The maximum score in points:
1. The practical work (30 points);
2. The written examination component (50 points), oral component (20 points).
Together for discipline - 100 points.
Критерії оцінювання результатів навчання: 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 interrelationship 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.
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 interrelationship 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. Исследование устройств и систем автоматики методом планирования эксперимента / А. Е. Егоров, Г. Н. Азаров, А. В. Коваль; Под ред. В. Г. Воронова.— X.: Вища шк. Изд-во при Харьк. ун-те, 1986.—240 с.
2. Джонсон Н., Лион. Ф. Статистика и планирование эксперимента в
науке и технике: В 2-х т. /Пер. с англ. — М.: Мир, 1981.—Т. 2.
Методы планирования эксперимента. 516 с.
3. Адлер Ю. П., Маркова Е. В., Грановский Ю. В. Теория эксперимента:
прошлое, настоящее, будущее. — М.: Знание, 1982.—72 с.
4. Шеннон Р. Имитационное моделирование систем — искусство и нау¬
ка /Пер. с англ. — М.: Мир, 1975.—480 с.
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