Magistracy
Speciality Code:
7M07128
Speciality Name:
Intelligent Control Systems
Faculty:
Information technology
Qualification:
- Scientific and pedagogical direction - Master of Engineering Sciences
- Model of graduating student
- Mandatory disciplines
- Elective disciplines
- Professional
1. Apply mathematical methods, models and algorithms in the construction of intelligent control systems, design and use decision support systems in automated systems according to the principles of Industry 4.0.
2. Apply network channel security methods, monitor the system to detect vulnerabilities (in the network, in applications, in devices), and ensure the security of IoT systems.
3. Conduct an analytical analysis to predict the maintenance of IoT devices, design collective smart M2M device touch models and prototypes of virtual models.
4. Develop models of IoT systems according to customer requirements, expand the functionality of IoT systems and improve the performance of individual tasks in accordance with a new or supplemented technical task.
5. To develop hardware and software for IoT systems to stimulate innovation in the field of digitalization of the industry, to design and use inter-machine communication software for smart systems.
6. Apply software for processing, storage and transmission of cloud data, conduct research in the field of analysis and design of embedded IoT systems using cloud services.
7. Develop methods for processing and analyzing big data of corporate systems and applications to improve business processes; Create software tools for storing big data and extracting useful information from them.
8. Conduct scientific and pedagogical activity, introduce research results into practical pedagogical activity, lead a research group.
9. Independently conduct research, understand current research issues, analyze and critically relate to various sources of information, use them to structure and formulate reasoning.
10. Use methods and tools from various multidisciplinary fields, present research results in various forms in national scientific publications, at conferences tailored to the specifics of the audience, be tolerant, work effectively as a team in the search and solution of research problems.
2. Apply network channel security methods, monitor the system to detect vulnerabilities (in the network, in applications, in devices), and ensure the security of IoT systems.
3. Conduct an analytical analysis to predict the maintenance of IoT devices, design collective smart M2M device touch models and prototypes of virtual models.
4. Develop models of IoT systems according to customer requirements, expand the functionality of IoT systems and improve the performance of individual tasks in accordance with a new or supplemented technical task.
5. To develop hardware and software for IoT systems to stimulate innovation in the field of digitalization of the industry, to design and use inter-machine communication software for smart systems.
6. Apply software for processing, storage and transmission of cloud data, conduct research in the field of analysis and design of embedded IoT systems using cloud services.
7. Develop methods for processing and analyzing big data of corporate systems and applications to improve business processes; Create software tools for storing big data and extracting useful information from them.
8. Conduct scientific and pedagogical activity, introduce research results into practical pedagogical activity, lead a research group.
9. Independently conduct research, understand current research issues, analyze and critically relate to various sources of information, use them to structure and formulate reasoning.
10. Use methods and tools from various multidisciplinary fields, present research results in various forms in national scientific publications, at conferences tailored to the specifics of the audience, be tolerant, work effectively as a team in the search and solution of research problems.
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Pedagogy of Higher education
- Number of credits: 5
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose is the formation of the ability of pedagogical activity through the knowledge of higher education didactics, theories of upbringing and education management, analysis, and self-assessment of teaching activities. The course covers the educational activity design of specialists, Bologna process implementation, acquiring a lecturer, and curatorial skills by TLA-strategies.
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Psychology of Management
- Number of credits: 3
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The course reveals the subject, the basic principles of management psychology, personality in managerial interactions, personal behavior management, psychology of managing group phenomena and processes, psychological characteristics of the leader's personality, individual management style, psychology of influence in management activities, conflict management.
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IoT design systems
- Number of credits: 9
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the course is to develop skills for building and designing systems based on Ios devices. Within the discipline the following aspects will be considered: The use of IoT devices. Classification of IoT devices. Features of designing systems based on Arduino, Raspberry Pi, ESP 2866, ESP 32.
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Organization and Planning of Scientific Research (in English)
- Number of credits: 6
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The discipline aims to form the ability to apply practical skills in organising and planning scientific research. The discipline studies forms and methods of planning, organisation, and design of scientific articles and dissertations, as well as summarising scientific research results in presentations, speeches, projects, and articles.
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Mathematical methods in intelligent control systems
- Number of credits: 5
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is to develop the ability to apply modern methods, models and algorithms of intelligent systems and conduct research of information processes in such systems. Within the discipline the following aspects will be considered: The main functionality of intelligent systems (IS) and their elementary base. Analysis of the possibility of using robust methods in high-precision and reliability IS. Mathematical foundations of robust control. General statement of the robust control problem. Software implementation of robust methods for managing intelligent systems. Analysis of the possibilities of using methods of adaptation and self-organization in IS. Solving problems of image analysis in is using neuro-fuzzy, robust and adaptive approaches. Application of artificial neural networks in is. Basic schemes and control problem based on artificial neural networks. Stochastic methods for solving the ICS task. ICS software.
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Inter-machine interaction models
- Number of credits: 5
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is to develop the ability to design and use software that virtually simulates machine-to-machine interaction of M2M smart systems.Within the discipline the following aspects will be considered: An overview of software models for virtual simulation of M2M. Features of the virtual model for wireless data exchange of IoT and M2M devices. Standards for wireless M2M, the CAN Protocol for communication between cars and M-Bus for remote reading of electricity consumption meters. Industrial, scientific, and medical M2M radio frequencies used for the physical transport layer of M2M device signals.
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Security in intelligent control systems
- Number of credits: 6
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is to study biometric information security systems, review the principles of their operation, methods and application in practice.Within the discipline the following aspects will be considered: Biometric identification of an individual. Access control by papillary pattern, face geometry, retina, iris, and hand geometry.
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Foreign Language (professional)
- Number of credits: 6
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose is to acquire and improve competencies by international standards of foreign language education and to communicate in an intercultural, professional, and scientific environment. A master's student must integrate new information, understand the organization of languages, interact in society, and defend his point of view.
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History and Philosophy of Science
- Number of credits: 3
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The course forms knowledge about the history and theory of science; on the laws of the development of science and the structure of scientific knowledge; about science as a profession and social institution; оn the methods of conducting scientific research; the role of science in the development of society.
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Optimal control of automation objects
- Number of credits: 6
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is to master the methods of research and classification of tasks that arise in the construction of intelligent control systems, as well as the formation of skills to work with scientific literature, including when performing interdisciplinary projects.Discrete and continuous systems, optimization at fixed values.
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Big Data analytics in Internet of Things
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is to develop the ability to manage data received from IoT sensors, as well as to use data analytics. Tools for static data processing. Tools and for streaming data processing. Data storage tools. Heterogeneity and semantics of data. Data analysis.
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Discrete technological process control
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is to develop the ability to solve theoretical and applied problems of managing digital systems with the control of their technological processes (TP) in various industries. Within the discipline the following aspects will be considered: The importance of TP management in increasing the efficiency of digital production. Control tools for technical systems with discrete TP. Industrial digital process control systems. Features of management of technical systems of discrete action. Logic control. Managing complex production systems. Mathematical modeling of digital system objects. Digital control, identification and adaptation in technical systems. Remote automatic control of digital objects. Control schemes for standard technical systems. The main functions of the automated control system. Types of support for automated control systems TP. Architecture of digital control systems.
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Robustness and controllability of collective robots Matlab
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is to study the principles of building collective robots with the calculation of robustness and manageability in the MatLab environment.Within the discipline the following aspects will be considered: The concept of robustness and manageability of dynamic systems operating in the uncertainty of internal parameters of the control system. The concept of the simplest collective robots and their "swarm" intelligence. The importance of stepper servos in the work of the simplest collective robots. Robust Control Toolbox for modeling undefined systems and computer modeling of system robustness using control reliability analysis tools.
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Modeling the decision-making process in automated systems
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is to develop skills and abilities for complex automation of enterprise management, through mathematical and computer modeling of its production and technological activities. Within the discipline the following aspects will be considered: Modeling of a production system as a function of time. Modeling and automation of technological process scaling. Modeling and automation of the process of operational management of production taking into account exogenous factors. Modeling and automation of the enterprise inventory management process. Modeling and automation of the process of managing the work schedule of the production line. Modeling and managing the processes of pricing and sales of products in the market of perfect, oligopolistic and monopoly competition.
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Modelling decision making in the automated system
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: Aim оf discipline: During the study of course, students should be competent in: - -to form the ability to demonstrate the knowledge about the principles of object-oriented approach and their understanding and understanding of the overall structure of the field of study and the relationship between the mechanisms of object-oriented programming
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Software and hardware for IoT
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of discipline is to develop the ability to develop hardware and software for IoT systems to stimulate innovation in the field of industry digitalization. Within the discipline the following aspects will be considered: The transition to mesh networks. Security of the IoT system. Wireless technology. Innovative silicon chips.
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Tools for automating business processes in production
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of discipline is to develop the ability to apply mathematical models and methods for calculating the impact of mechanization, automation, Informatization and the industrial Internet of things (IIoT) on the efficiency of business processes.
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Visualization in intelligent control systems
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is to study the methods of graphic visualization of HMI screens, widely used to improve the informative transfer of technological data to an expert technologist in modern intelligent control systems (ICS). Within the discipline the following aspects will be considered: Ways to configure pilot microcontroller systems equipped with HMI graphics screens. Methods for configuring devices for graphical display of information with microcontrollers over wired industrial networks for exchanging technological data. Programming methods of the graphic editor when creating ICS visualization programs for interaction of the HMI SIMATIC KTP900 screen with S7-1200 microcontrollers. Sets of tasks for animating practically important ICS tasks.
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Intelligent Control Systems in IIoT
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of discipline is to master the principles of sensors, actuators and data exchange protocols over wired and wireless computer networks for building a multiprocessor intelligent control system characteristic of the collective interaction of industrial IoT devices. Principles of IIoT data exchange from sensors to actuators.
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Machine learning for intelligent control system
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of discipline: consists in developing the ability to use existing training tools using deep neural networks and to develop new ones for big data analysis.Within the discipline the following aspects will be considered: The architecture of deep neural networks. Configure hyperparameters and deep learning frameworks.
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Controllers and simulators in the design of «Industry 4.0» solutions
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of discipline is to develop the ability to use the software of modern industrial controllers to simulate the algorithm of intelligent control of a multiprocessor system of human-computer interaction in the designed decision-making environment of intelligent control systems (ICS) based on the principles of Industry 4.0.
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Construction and analysis of algorithms
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is to develop the ability to implement high-performance algorithms and data structures for fundamental computational problems in various fields.Within the discipline the following aspects will be considered: Basic algorithms: asymptotic writing, recursion, the divide-and-conquer paradigm, and basic data structures. Balanced binary trees, 2-3 trees, B-trees, structures for sets, hashing, text compression (Huffman encoding). Application of maximum flow algorithms Randomized selection and sorting. Automata, string matching (Boyer and Moore algorithm, Knuth-Morris-Pratt algorithm), pattern matching. Complexity classes P and NP, NP-completeness, and some NP-complete problems. The strategy of parallel design. Distributed computing algorithms.
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Theory of nonlinear multidimensional technological process control systems
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is to build the ability to analyze non-linear processes and determine the interdependence of the parameters of the control system from each other, as well as develop analytical methods for the synthesis of optimal algorithms for automatic control of non-linear multidimensional technological processes.Within the discipline the following aspects will be considered: Nonlinear multidimensional ACS with specified structural schemes, types of non-linearity of ACS. Variants of the numerical parameters of ACS and their linearization by the phase plane method. A method for converting given nonlinear equations of an automation system to a special controllable Jordan form. Mastering the theoretical principles of linearizing control, which allows you to transform the original indefinite nonlinear-quadratic functional into an ordinary quadratic quality criterion. Optimal automation algorithms for multidimensional TP control problems as a result of solving the Riccati equation using MATLAB.
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Mathematical methods for calculating the impact of IoT systems on business performance
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of discipline is to develop the ability to apply mathematical models and methods for calculating the impact of mechanization, automation, Informatization and the industrial Internet of things (IIoT) on the efficiency of business processes.Within the discipline the following aspects will be considered: The design scheme software the effectiveness of IIoT systems, in the form of sequence and interaction of these algorithms in the following stages: stage 1-modelling of non-economic criteria, and compare its counterpart, the stage 2 - definition of simulation by modeling the capital investments and the attractiveness of investment, the stage 3 - definition of economic-mathematical modeling of the effectiveness of the IIoT and the calculation of payback period. Modeling of technical and economic accounting with priority weight indicators of production in Industry 4.0 technology in terms of volumes and nomenclature of products, their quality, and social factors.
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Analysis and design of embedded IoT systems
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is to develop the ability to analyze and design the IoT structure in interaction with the server and other devices. Providing access to device data and visual representation of analysis results. Modern IoT solutions based on data transfer protocols.
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Pedagogical
- Type of control: Защита практики
- Description: Aim оf discipline: formation of the ability to carry out educational activities in universities, to design the educational process and conduct certain types of training sessions using innovative educational technologies.
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Research
- Type of control: Защита практики
- Description: The purpose of the practice: gaining experience in the study of an actual scientific problem, expand the professional knowledge gained in the learning process, and developing practical skills for conducting independent scientific work. The practice is aimed at developing the skills of research, analysis and application of economic knowledge.