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Educational programs
7M07102 - Automation and Control
The group of educational programs М100 Automation and control is included in the field of education 7М07 Engineering, Manufacturing and Construction Industries.
Introduction
The OP was developed taking into account the needs of the regional labor market, the requirements of regulatory documents of the Ministry of Science and Higher Education of the Republic of Kazakhstan and is a system of documents for the organization of the educational process. Having mastered this educational program, graduates acquire the skills and abilities of theoretical and experimental research in complex engineering activities in the field of automation and control and mechatronics; to apply progressive methods of operation of automation and control systems equipment, to apply modern methods for the development of energy-saving and environmentally friendly automation and control systems that ensure the safety of human life and their protection from possible consequences of accidents, catastrophes and natural disasters, to acquire knowledge and skills focused on the creation of robots and robotics systems that have elements of artificial intelligence. The novelty of this program is its meaningful uniqueness, which consists in the ability to combine the design and programming in one course of both control systems built on a modern element base, and the study of mechatronics - an applied science engaged in the development and operation of intelligent automated technical systems for their implementation in various spheres of human activity. Graduates of this educational program will master new means and methods of design, such as methods of artificial intelligence, digital information processing, modeling of complex dynamic systems and many others.
The main criterion for the completion of the educational process for the preparation of masters of the scientific and pedagogical direction is the development of at least 88 credits of theoretical training, including 6 credits of pedagogical practice, 13 credits of research practice, as well as at least 24 credits of research work of a master's student, including internships and the completion of a master's thesis, at least 8 credits of the final attestations . A total of 120 credits.
2 years.
Target
Training masters of engineering for work in the field of automation, information and control in technical, technological systems associated with the use of tools and methods for processing information for management in all areas of production and in the field of research and teaching
Qualification characteristics of a graduate
  • Awarded degree / qualification
    Master of Technical Sciences, specialty 7M07102 - Automation and Controler of Technical Sciences in the specialty M10001 -
  • Name of the profession / list of positions of a specialist
    Engineer in organizations and enterprises that use and develop automated control systems for technological processes and production, automated information and control systems for various purposes, automated systems for receiving, processing and transmitting data for various purposes, automated systems for designing systems. Teacher of state and non-state secondary, specialized secondary and higher educational institutions, researcher of research and other organizations of any form of ownership
  • OQF qualification level (industry qualification framework)
    7
  • Area of professional activity
    Graduates are prepared to work in the field of automation, informatization and management in technical systems, technological systems, systems related to the use of information processing tools and methods for management in all areas of production, in the field of research and teaching
  • Object of professional activity
    Automated control systems for technological processes of various industries, automated information and control systems for various purposes, automated systems for receiving, processing and transmitting data for various purposes, automated systems for designing systems, research institutes, research and production associations of any form of ownership, state and non-state educational institutions of any level
  • Types of professional activity
    Creation and operation of automated production management systems; development of methods for analysis, forecasting and management of technological processes, technical systems and high-tech research facilities, research activities, pedagogical activities, educational activities. Types of professional activity * production and technological activities * organizational and managerial activities • design and engineering activities • research activities * teaching activities * educational activities * Cloud Technology Specialist
Map of training modules for developing competencies
Module 1. Sociolinguistic and scientific-pedagogical activities

Learning outcomes for the module:

Develops sociolinguistic competencies and the ability to apply fundamental scientific, pedagogical, managerial, and communicative knowledge and skills in professional activities.

Module 2.Data processing and presentation

Learning outcomes for the module:

Students acquire competencies in data analysis, interpretation, and visualization using modern software tools; they master methods of statistical processing and mathematical modeling for optimizing managerial decisions, and develop critical thinking and independent analytical skills in working with information.

Module 3.Artificial Intelligence Systems

Learning outcomes for the module:

Students acquire competencies in the development and application of intelligent systems based on machine learning methods, neural networks, and deep learning algorithms; they gain skills in building and implementing artificial intelligence models to solve tasks related to automation and optimization of managerial processes; they develop systems thinking, an analytical approach, and the ability to apply modern AI technologies in engineering practice.

Module 4.Intelligent System Design

Learning outcomes for the module:

Students acquire competencies in the development of algorithms and models for intelligent decision support based on data; master methods for designing and integrating intelligent solutions into technical and managerial processes; and develop skills in optimizing production and management systems using modern approaches and digital technologies.