Magistracy

Speciality Code:

7M07114

Speciality Name:

Internet of things

Faculty:

Information technology

Qualification:
  • Scientific and pedagogical direction - Master of Technical Sciences
  • Model of graduating student
  • Mandatory disciplines
  • Elective disciplines
  • Professional
ON 1 To use the conceptual apparatus, methods, techniques and technologies for the development and optimization of information gathering (data mining) based on the analysis and synthesis of information flows of data measuring devices from industrial systems, characteristic of food, engineering, mining, heat and power, modern industrial agricultural sector and other related industries of material production;
ON 2 To carry out the analysis on optimization and automation of production processes of receiving, processing, transfer and operation of material and technical, heat and energy, human resources for decrease in their influence on cost price and quality of the finished product or product;
ON 3 To solve network technical, information the problem of predicting, based on the analysis of information from a large amount of data from sensors and Executive mechanisms for structuring this information into a single, understandable and formalized mathematical model of the industrial control system;
ON 4 to Process input data of measuring devices by means of microcontroller computer network equipment with application of modern hardware and software of type TIA Portal, WinCC, knowledge Base of OPC servers, to use simulators and pilot installation of the leading foreign firms;
ON 5 to Correlate methodological foundations of mathematics, theory of linear and nonlinear control and decision-making, Informatics, information security systems, to distinguish discussion concepts and paradigms of modern "deserted" control and APS, widely discussed in modern foreign and domestic scientific and technical environment;
ON 6 Effectively generate analytical reviews and generate accurate forecasts for management decision-making based on dynamic, structured and processed sources of diverse DC information, Internet resources, the readings of numerous sensors of complex;
ON 7 Create new Knowledge bases and segments in the DC. Design a pilot APS for MAINTENANCE with discrete , analog input and output data with the formation of control signals from the microcontroller on the mathematical model of analysis and processing of process data for specific production processes;
ON 8 to Create projects in the environment of TIA Portal, WinCC allowing to visualize and animate the features of technological processes in the oil and gas and agricultural sector of the economy of Kazakhstan, as well as for industrial automation systems of ferrous and nonferrous metallurgy, food industry;
ON 9 to Form pilot courses for training of employees of the production sphere of the country, to carry out trainings on APS, to train in simulation applications features of programming of tasks of APS and development of demanded program interfaces for production. Be able to transparently and clearly present the conceptual and software apparatus TIA Portal, WinCC and their applications;
ON 10 Have the skills to use the software package TIA Portal, WinCC for the pilot Big Data with contextual search and storage of data on the LFS servers APS;
ON 11 Apply the methods of a partial automation of some production facilities with computer control system performance with a Central computer with the OPC server;
ON 12 to Use skills of work with information from various literary sources, to represent it in various forms of messages, presentations and reports taking into account specifics of audience, justifying and competently expressing the point of view on problem questions. Work effectively as a team in the search and solution of research problems of OP.
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