PhD program
Automation and Internet of Things

Automation and Internet of Things

QUALIFICATION

  • Scientific and pedagogical direction - Doctor of Philosophy (PhD)

MODEL OF GRADUATING STUDENT

ON 1 Uses and improves the conceptual apparatus, methods, techniques and technologies for developing modern theoretical, scientific and practical fundamentals of analysis and synthesis of information data flow of measuring devices from automated control systems, used to create smart systems in the food, engineering, mining, thermal electric power industry, modern industrial agrarian sector and other related branches of material production;
ON 2 Based on the analysis, it optimizes and automates production processes for obtaining, processing, transferring and operating material, heat and energy, human resources to create the conditions for innovative modernization and reforming production technologies in the country;
ON 3 Gives predictions of ways to develop automation and control of complex technical and socio-economic objects of management in the form of closed and formalized mathematical and computer management models;
ON 4 Owns the features of using microcontroller computer network equipment in the manufacturing industries, uses modern hardware and software such as TIA Portal, WinCC, OPC Servers Knowledge Base, prepares users for simulators and pilot installations TIA Portal;
ON 5 Correlates the methodological foundations of smart technologies in the development of society and introduces these approaches in the form of modern "deserted" control systems, writes articles and speaks in foreign rating journals and Russian periodical scientific and technical publications;
ON 6 Generates analytical reviews and generates accurate forecasts for making management decisions based on dynamic, structured and processed sources of various information of the DC, Internet resources, readings of numerous sensors of complex TO;
ON 7 Creates new knowledge bases and segments in DC. Designs semi-smart installations for maintenance with discrete, analog input and output data with the formation of control signals from the microcontroller according to a mathematical model of analysis and processing of technological data for specific production processes;
ON 8 Creates popular projects in TIA Portal, WinCC with visualization and graphic animation of technological processes in the sectors of the economy of the Republic of Kazakhstan, and also promotes the introduction of industrial automation systems into the economy of the country;
ON 9 Develops new courses for training employees in the industrial sector of the country, conduct training on MTAs, train in simulation applications the features of programming MTA tasks and develop demanded software interfaces for production, transparently and clearly present the conceptual and software apparatus of TIA Portal, WinCC and areas of their application;
ON 10 Владеть навыками пользования программами пакета TIA Portal, WinCC для промышленной Big Data с контекстным поиском и хранением данных на ОРС серверах АСУ;
ON 11 Applies the methods of incomplete automation of some production sites with an automated performance monitoring system from a central computer with an OPC server;
ON 12 Uses information from various literary sources, presenting it in the form of articles, presentations and reports tailored to the specifics of the audience, substantiating and competently presenting his point of view on problematic issues, creates teams for finding and solving research problems of automation and control.

Program passport

Speciality Name
Automation and Internet of Things
Speciality Code
8D07109
Faculty
Information technology

disciplines

Academic writing
  • Number of credits - 2
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the subject is to develop scientific writing and editing skills in accordance with the requirements of scientific publications and articles for publication, taking into account the professional features of the engineering field. Course content: Academic style of writing for doctoral students. Differences in the structure and organization of scientific work. Consistency and integrity of the sections of the article. Structure of the article. Features of description of sections of the article. Ways to connect ideas and arguments. Critical assessment. Analysis and synthesis in academic writing. Review of scientific works.

Mathematical tools of control systems
  • Number of credits - 5
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The aim of the discipline is to develop the ability to create mathematical models in the field of production automation based on basic control algorithms. Content of the discipline: Mathematical model and mathematical modelling of processes. Mathematical model of the problem of optimal control. Classification of optimal control tasks. Pontryagin's maximum principle. Problems of optimum performance. Controllability and observability of systems. Optimal control of systems. Dynamic programming method. Sufficient conditions for optimality of controlled dynamic systems.

PhD thesis writing and defence
  • Number of credits - 12
  • Type of control - Докторская диссертация
  • Description - The main purpose of "PhD thesis writing and defence": of a doctoral dissertation is the formation of the doctoral students' ability to disclose the content of research work for the defense of the thesis. During the study of course, doctoral student's should be competent in: 1. to substantiate the content of new scientifically grounded theoretical and experimental results that allow to solve a theoretical or applied problem or are a major achievement in the development of specific scientific directions; 2. explain the assessment of the completeness of the solutions to the tasks assigned, according to the specifics of the professional sphere of activity; 3. they can analyze alternative solutions for solving research and practical problems and assess the prospects for implementing these options; 4. apply the skills of writing scientific texts and presenting them in the form of scientific publications and presentations. 5. to plan and structure the scientific search, clearly highlight the research problem, develop a plan / program and methods for its study, formalize, in accordance with the requirements of the State Educational Establishment, the scientific and qualification work in the form of a thesis for a scientific degree Doctor of Doctor of Philosophy (PhD) on specialty «8D07502 – Standardization and certification (by industry)». During the study of the discipline doctoral student will learn following aspects: Registration of documents for presentation of the thesis for defense. Information card of the dissertation and registration-registration card (in the format Visio 2003). Extract from the minutes of the meeting of the institution, in which the preliminary defense of the thesis took place. Cover letter to the Higher Attestation Commission. Expert conclusion on the possibility of publishing the author's abstract. Expert opinion on the possibility of publishing a dissertation. Minutes of the meeting of the counting commission. Bulletin for voting. A shorthand record of the meeting of the dissertational council. List of scientific papers. Response of the official opponent. A review of the leading organization. The recall of the scientific adviser.

Scientific Research methods
  • Number of credits - 3
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the subject is to develop the ability to apply research methods from generally accepted methods in the field of engineering to technical methods focused on automation and the Internet of Things. Subject content: Research methodology. Literature review. Research hypotheses. Research method. Quantitative and qualitative methods: conceptualization and measurement, sampling and causal modeling. Research strategies in engineering: prototype design and development, experiments, practical studies, data analysis.

Systems and means of automatic regulation and control
  • Number of credits - 5
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The aim of the discipline is to develop the ability to design systems and tools for automatic control of complex processes with an emphasis on programmable logic control. Content of the discipline: Setting the control problem. Controllability and observability of linear systems. Synthesis of controllers. The problem of control of cyber-physical systems. Stability. Design of control with feedback by Lyapunov's method. Optimal control. Predictive control technologies based on models. Fuzzy logic control. PID controller. PID-based control scheme.

Data for 2021-2024 years

disciplines

Industrial automation, programmable logic controllers and robotics
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The aim of the discipline is to develop the ability to investigate issues of increasing the efficiency of production through automation, digitalisation and robotisation of production technologies. Content of the discipline: Modelling of industrial plants, sensors and actuators. Control of industrial applications. Programmable logic controllers with industrial applications. Application and tuning of PID controllers. Fuzzy sets and fuzzy control systems. Theory of fuzzy controllers. Theory of robot simulation. Robot design and construction technologies.

Problems and prospects in the design of intelligent control system
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The aim of the discipline is to develop the ability to design and develop intelligent systems for automation and control of technological processes. Content of the discipline: Relevance of robust and invariant systems. Robust control systems. Causes of uncertainties characterizing control systems. Fuzzy sets theory and interval analysis to describe different types of uncertainties. Artificial neural network based control of non-linear systems. Genetic algorithms and their applications to the identification and control of non-linear systems.

Problems of intellectualization of microcontroller control and regulation
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The aim of the discipline is to develop the ability to apply intelligent control methods to improve the efficiency of technological processes. The discipline aims to study the following topics: Design principles of microcontroller. Construction of mathematical model of control of technological process. Control strategies. Artificial intelligence methods for microcontroller control and regulation. Fuzzy PID controllers. Intelligent PID-controllers based on artificial neural networks. Predictive control. Evaluation of stability and controllability of technical means on intelligent regulators.

Process Control Engineering and the Industrial Internet of Things
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The aim of the discipline is to develop the ability to design and program process control systems, apply methods of data transfer to cloud storage, data processing and analysis. Content of the course: Architecture of technological process control systems. Data transmission in industrial networks. Process control systems and cloud services. Industrial Internet of things (IIoT). Quality forecasting, resource condition monitoring and optimisation of production processes with IIoT for Industry 4.0.

Data for 2021-2024 years

INTERNSHIPS

Pedagogical
  • Type of control - Защита практики
  • Description - Formation of practical, educational-methodical skills of conducting lectures, seminars, creatively apply scientific, theoretical knowledge, practical skills in teaching activities, conduct training sessions in the disciplines of the specialty; own modern professional techniques, methods of training, use in practice the latest theoretical, methodological advances, make educational, methodological documentation.

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.

Data for 2021-2024 years