Industrial Internet of Things

The educational program is designed to prepare competent specialists for the transformation and digitalization of industrial companies through the implementation of Internet of Things systems.

The purpose of the educational program is intensive practice-oriented training in the direction of the industrial Internet of Things for the development of complex Internet of Things systems including sensor-based data collection modules, signal/data conversion and processing modules, secure data transmission systems, algorithms for data collection, processing and storage on the server, data visualization technologies, and feedback systems, control and/or automation of the technological process. In addition, the EP is also focused on the construction of cyber-physical systems (digital twins), industrial storage and intelligent data processing.

Objective of EP

List of a specialist’s positions

Internet of Things Specialist
Electrical and/or Electronics Engineer
Hardware Engineer
Control Systems Engineer
Embedded Systems Engineer
Research Assistant
IoT Systems Software Engineer
Cloud IoT Systems Engineer

Competence model (portrait) of a graduate

Social block: Creative, responsible, sociable, team player, emotional intelligence, decent, competitive.

Fundamental block: The graduate of the program: (1) contributes with critical analysis of the subject area, assessment of the feasibility of digitalization, synthesis of new digital applications and is able to make decisions based on limited and (or) unreliable data; (2) understands and is able to apply theoretical and practical tools for the analysis, design and implementation of technological systems; (3) the critical interprets phenomena and technologies and unbiasedly chooses the best solution to the problem at hand.

Instrumental block: The graduate of the program plans, develops, implements and adjusts the design, development, implementation and support of industrial Internet of Things systems.

Industrial block:

Has an entrepreneurial mindset, is able to identify and solve problems, and is able to create new opportunities;
Demonstrates innovative thinking, solves technological and social problems using digital technologies;
Able to systematically implement business processes and develop non-standard solutions for support.

Information about the Educational program

Learning outcomes of EP

1. To be able to express ideas and arguments on the topic of information technology in writing and orally, speak to an audience and defend a point of view in the state, English and in the language of interethnic communication.

2. Know the main classes of ICT systems, tasks and tools, understand the domain areas of their application and justify the choice when solving problems.

3. Applies theoretical and practical knowledge of natural sciences, methods of mathematical analysis and modeling, theoretical and experimental research to solve educational, practical and professional problems.

4. Is able to participate in the installation, commissioning, testing and commissioning of control and automation systems based on Internet of Things technologies, participate in the technological preparation of Internet of Things systems for various purposes and the principle of operation.

5. Owns the main modern chemical, physico-mechanical, electron-optical methods used in the development of Internet of Things systems, both for household and industrial purposes.

6. Has the skills of mathematical and cyber-physical modeling to build models of technological and production facilities, phenomena and systems, as well as descriptions of dynamic processes.

7. is capable of setting up, configuring and pilot testing of embedded systems in laboratory conditions and at production facilities.

8. is able to select typical sensors, embedded systems, data transmission, storage and visualization technologies for the design of a control system and/or automation of a technological process using the Internet of Things concept, as well as to pre-evaluate the economic efficiency of technological processes.

9. Know electronic and mechanical devices (and their components) of the Industrial Internet of Things; understand the principles of their operation and operation, the technology of connection to the network and management, understand the issues of industrial safety and occupational safety at work.

10. Applies knowledge and understanding at the professional level of the organization of the safety of the life of production personnel and the population, formulates arguments and solutions for their protection, including in the event of an emergency.

11. Applies knowledge and understanding of facts, phenomena, theories and complex dependencies between them in the development of functional and structural schemes of complex systems of the Internet of Things for industrial purposes using standard computer design tools.

12. Be able to design solutions for industrial Internet of Things systems, including the development of project documentation, the selection of the main nodes of complex industrial Internet of Things systems, the organization of information security protection.

13. Have a systemic understanding of the role of individuals and events in shaping the current situation; the ability to critically evaluate and position actions regarding complex social processes in light of historical factors.

14. To use a variety of physical activities to maintain and promote health in a meaningful way.

Присуждаемая степень

Бакалавр техники и технологий по образовательной программе «6B07101 – Industrial Internet of Things»

Course Curriculum

Cycle of general education disciplines

Compulsory component

Language 1

The course develops student academic English skills, including grammar, vocabulary, reading comprehension, critical thinking and analysis, and listening and speaking skills. Students will learn how to use academic English effectively to express complex ideas, and deliver academic presentations focusing on various aspects of public speaking. The course helps students better understand academic English conventions and use them competently in their disciplines and specific areas of expertise.

Sociology

The course includes knowledge of sociological subject areas, research methods and directions. The course will discuss in detail the basic sociological theories and the most effective ways of gaining deep knowledge about various aspects of our modern society. The special significance of this course for students is to develop a sociological imagination, to understand the basic concepts of sociology as a science.

Information and Communication Technologies

In the course, information and communication technologies are considered as modern methods and means of communication of people in ordinary and professional activities using information technologies for the search, collection, storage, processing and dissemination of information.

Physical Education

The course is devoted to the formation of the physical culture of the individual and the ability of the directed use of various means of physical culture to maintain and strengthen health.

Language 2

The course further enhances student academic English skills by emphasising active and participatory learning. This is achieved through a series of writing assignments that are designed to develop student ability to produce well-structured, well-supported, and persuasive texts using advanced English conventions, grammar and vocabulary. The course provides students with the necessary tools to write competently across various disciplines, ensuring their success in their academic pursuits.

Psychology

This course presents questions of psychology in a wide educational and social context. The knowledge and skills acquired and formed as a result of mastering the course content give students the opportunity to put them into practice in various spheres of life: personal, family, professional, business, social, in working with people from different social groups and age groups.

History of Kazakhstan

The course examines the modern history of Kazakhstan, as part of the history of mankind, the history of Eurasia and Central Asia. The modern history of Kazakhstan is a period in which a holistic study of historical events, phenomena, facts, processes, the identification of historical patterns that took place on the territory of the Great Steppe in the twentieth century and to this day is carried out.

Cultural Studies

The course is also designed for the formation of bachelors” ideas about the factors that complicate teaching at the present stage of development of society, about the difficulties specific to this activity. The course will help to become the basis for the study of the whole complex of social and human sciences, as well as an addition to general courses in history and philosophy. The course includes topics such as morphology, semiotics, anatomy of culture; the culture of nomads of Kazakhstan, the cultural heritage of the proto-Türks, the medieval culture of Central Asia, the formation of the Kazakh culture, the Kazakh culture in the context of globalization, the cultural policy of Kazakhstan, etc.

Kazakh (Russian) Language 1

The course occupies a special place in the system of bachelor training with engineering education. For engineering students, the study of professional Kazakh/Russian is not only an enhancement of the skills and abilities acquired at school, but also a means of mastering the future profession with a focus on writing and reasoned oral speech allowing for effective communication.

Political Science

The course is dedicated to general political knowledge for specialties in the field of ICT. It includes political self-awareness, improvement of one’s political outlook and communicative competencies. Teaching political knowledge is communicative, interactive, student-oriented, result-oriented, and largely depends on the independent work of students.

Kazakh (Russian) Language 2

Philosophy

The object of study of the discipline is philosophy as a special form of spiritual studies in its cultural and historical development and modern sound. The main directions and problems of world and national philosophy are studied. Philosophy is a special form of cognition of the world, creating a system of cognition of the general principles and foundations of human life, about the essential characteristics of a person’s relationship to nature, society and spiritual life, in all its main direction.

Cycle of general education disciplines

Elective component

Technological Entrepreneurship

The discipline introduces students to modern concepts and tools of entrepreneurship and obtaining the theoretical knowledge and practical skills necessary to launch their own startup, taking into account the basics of life safety. On the basis of law and anti-corruption culture, the process of obtaining a patent, the legality of ownership of technological development is being studied, taking into account the legislation of the Republic of Kazakhstan in the field of intellectual property. Students apply strategic analysis in the field of economics, management, communication and technological entrepreneurship.

Entrepreneurship

Within the framework of the academic discipline, the student studies the essence of entrepreneurial activity on the basis of the current legislation of the Republic of Kazakhstan. The course will demonstrate the role and place of small enterprises in the modern conditions of the functioning of the economy of the state and society. The discipline will allow to understand the basic principles and content of the business plan of business entities, to form thinking based on modern anti-corruption culture, organizational forms of entrepreneurial activity are explained, including taking into account sustainable development, ecology and safety of personnel.

Cycle of major disciplines

University’s component

Industrial Safety

The course examines the legislation of the Republic of Kazakhstan in the field of labor protection, the basics of occupational hygiene, occupational sanitation and fire safetyand and ecology. As a result of mastering the course, students will understand the conditions for creating harmless working conditions, ensuring life safety conditions, implementing safety measures during installation and operation of equipment and reducing the impact on the environment.

Optoelectronics

The course develops students” knowledge, experience and skills that is necessary for understanding the operation of modern optoelectronic devices and systems, in order to design and develop electronic equipment, as well helps to further improve his/her skills in the field of IoT devices.

Sensors for IoT

This course is aimed at studying sensors used in IoT. Students will get acquainted with the device and the principle of operation of common sensors, with physical effects and mathematical principles related to sensors. The acquired knowledge makes it possible to solve the problems of measuring physical quantities using sensors, as well as to design and create new implementations based on sensors.

Industrial Practice

The course is devoted to the study of information security technologies.

Network protocols for IoT

This course is aimed at studying wireless network technologies, including low-power networks of different ranges, understanding the principle of operation and usage scenario, specific protocols such as MQTT, AMQP, CoAP, DDS, XMPP, JMS will also be considered.

Operating systems for embedded systems

The course is aimed at students acquiring skills in using modern real-time operating systems, getting an idea of the architecture of real-time operating systems and software models of modern microcontrollers, mastering practical skills in creating embedded software using UNIX-like multitasking real-time operating systems.

Information Security Fundamentals

The course forms students’ understanding of the field of information security, its constituent components, main threats, protocols and protection tools. During the study, students will acquire basic information security skills and become familiar with professional tools and programs.

Development of IoT systems

The course is practice-oriented and develops students” skills in developing complex software-and hardware solutions for the Internet of Things. The first section of the course introduces students to the SDK platform, a set of tools and programming practices for industrial Internet of Things devices. In the second section, students will develop and present the author’s solution for the Internet of Things system.

Undergraduate Practice

The course presents the collection and analysis of materials for writing a graduation project.

Cycle of major disciplines

Elective component

Database management models and systems

The course provides an overview of various conceptual approaches to data storage (hierarchical, relational, distributed) and basic technologies that implement these approaches (SQL, replication, etc.). The practical component of the course is aimed to develop an understanding of the work of various DBMS classes and their application scenarios.

Introduction to Digital twins

The course provides students with an understanding of the possibilities of digital modeling technologies for industrial objects and processes to create duplicates. Having mastered this course, students will be able to develop and use the basic elements of digital twins, create digitalе modelsand processes.

Cyber-physical modeling of industrial processes

The course develops students” understanding of the principles and develops skills in building digital twins of industrial production facilities for further simulation of production processes and their modifications. As a result of its development, students will be able to create complex cyber-physical systems of industrial facilities designed to simulate the future use of new equipment or processes for planning and control purposes.

Industrial storage technology

The course provides a comprehensive understanding of industrial data storage technologies. The first section teaches you how to deploy, configureе, and administer storage systems. The practical component will provide students with skills in working with backup mechanisms and configuring industrial storage on virtual servers. The second component is based on practical scenarios for deploying and applying NoSQL systems on cloud servers.

Cycle of fundamental disciplines

University’s component

Physics 1

This course will study the fundamental laws of nature: the law of conservation of momentum, the law of conservation of energy and the law of conservation of moment of momentum, and the fundamental concepts of statistical mechanics. Students will be able to solve a wide range of physical and engineering problems based on the assimilation of a small number of fundamental laws of nature. The main focus will be on the atomic structure of matter and the interaction between material objects. During the course, students learn to explain and predict the behavior of different systems, such as elementary particles, molecules, solid metals and galaxies. The course integrates the tasks of modeling physical processes based on Visual Python

Linear Algebra

The course aims to develop an understanding of the fundamentals of linear algebra and matrix theory. The subject of the discipline is the basic properties of matrices, including determinants, inverse matrices, matrix factorizations, eigenvalues, linear transformations, etc.

Calculus 1

The academic discipline includes knowledge of analyzing functions represented in a variety of ways, and understanding the relationships between these various representations; understanding the meaning of the derivative in terms of a rate of change and local linear approximation, and using derivatives to solve a variety of problems. The course is aimed at forming students’ mathematical foundation for solving applied problems in their specialty.

Calculus 2

The academic discipline acquaints students with important branches of calculus and its applications in computer science. During the educational process, students should become familiar with and be able to apply mathematical methods and tools (ordinary differential equations, series, double and triple integrals) to solve various applied problems. The discipline forms the ability to apply mathematical methods and tools (differential equations, series, double and triple integrals) to solve complex applied problems in their specialty.

Discrete mathematics

The course aims to develop an understanding of the foundations of mathematics, combinatorics and graph theory. The subject of the discipline is basic mathematical principles such as proof, understanding of discrete objects; solving counting problems using various enumeration methods.

Fundamentals of electricity

This is an introductory course for students of educational programs studying electrical engineering and related disciplines. The course provides students with a basic understanding of the principles of electrical engineering, including the fundamentals of electrical circuits, electrical circuit analysis using nodal potential and loop current methods, the fundamentals of AC and phasors and their use for AC circuit analysis, and an introduction to electromagnetism. This course is an important foundation for more advanced electrical and electronics courses.

Physics 2

This course will study the concepts of electric and magnetic fields, which will make it possible to better understand the atomic structure of matter, the electrical and magnetic properties of solids, and the generation and propagation of electromagnetic waves. The course is aimed at studying the fundamental principles of electricity and magnetism, which underlies many modern technologies, from cell phones to medical imaging. The course integrates the tasks of modeling physical processes based on Visual Python.

Fundamentals of Materials Science

This course examines the basic properties of materials (metals, dielectrics and semiconductors), as well as methods for modifying their properties of materials for the most effective use in engineering. The course forms an understanding of the processes and phenomena occurring in materials when exposed to various factors in production and operation conditions, establishing the relationship between the composition, structure, and properties of materials.

Educational Practice

Educational practice is an integral part of the student training program. The main content of the practice is the implementation of practical educational, educational and research, creative tasks that correspond to the nature of the future professional activity of students. The purpose of educational practice: the study and consolidation of theoretical and practical knowledge in the disciplines obtained in the learning process, the development of creative activity and initiative of students, their artistic and creative needs and aesthetic worldview.

Circuit theory

This course teaches students the mathematical and conceptual analysis of electrical circuits. Students apply mathematical concepts such as differential equations, complex analysis, linear algebra, and probability theory to solve problems related to the design and analysis of electrical circuits. They develop a deep understanding of Kirchhoff’s laws, Thevenin’s and Norton’s theorems, and learn to analyze electrical circuits in the time and frequency domains using Laplace and Fourier transform methods. The course also includes the analysis of semiconductor devices such as diodes and transistors using differential and integral calculus equations. This course is a key component in the education of electrical engineers and requires a high level of mathematical preparation.

Electronics

The course considers the basic methods of calculation of established and transient processes in electric circuits, their application to the most widespread in engineering practice electronic circuits, including amplifiers, rectifiers, stabilizers, triggers and other devices. Much attention is paid to properties and characteristics of semiconductor elements: diodes, bipolar and field transistors, thyristors, operational amplifiers, simple logic elements. Some chapters are devoted to the circuitry of digital devices.

Algorithms and Data Structures

“The course examines basic, classical algorithms and data structures used in programming. The principles of construction and description of algorithms, the concepts of complexity and performance of algorithms, their main classes are considered.

Modeling of systems and processes

The course provides knowledge of classification of models of systems and processes, types of modeling, principles and methodology of functional, simulation and mathematical modeling. Having mastered this course, students will develop an understanding of the relationship between the mathematical apparatus and technological processes, as well as how mathematical methods are used in the design of industrial Internet of Things systems.

Probability and Statistics

The course teaches the study of patterns of random phenomena and their properties, and use them for data analysis. As a result of studying this discipline, students will know the basic concepts of probability theory and mathematical statistics and their properties and be able to use probabilistic models for solving problems, work with random variables, calculate sample characteristics, evaluate the reliability of statistical data.

Signals and Systems

The course offers a broad understanding of a variety of signals (continuous and discrete), system properties (linear and non-linear), and tools for signal and system analysis, including Fourier and Laplace transforms. It also covers spectrum analysis, digital signal and system fundamentals, and filter design. This course provides a foundation for more advanced topics such as signal processing, communications systems, and systems control.

Digital electronics

This course provides in details the principles and applications of digital electronics, including the fundamentals of Boolean algebra, the design and analysis of combinational and sequential logic circuits, and the operation and application of key digital elements such as decoders, multiplexers, counters, and registers. In addition, students are introduced to various memory circuits and the basics of programmable logic devices. The course also covers modern methods and technologies for designing digital systems, preparing students for work in the field of electronics and microprocessor technology.

Operating Systems

The course provides students with a comprehensive understanding of the fundamental principles and mechanisms that drive modern operating systems. Students explore topics such as process management, memory management, file systems, and input/output management. They learn about the internal structures and algorithms used by operating systems to optimize resource allocation and scheduling, enabling efficient execution of applications. Throughout the course, students engage in practical exercises and projects that allow them to gain hands-on experience with real or simulated operating systems. By the end of the course, students develop a strong foundation in operating systems, equipping them with the skills to analyze and solve problems related to process management, memory management, file systems, and I/O operations, and enabling them to effectively develop software that interacts with the underlying operating system.

Microcontroller Programming

The discipline is aimed at developing knowledge and programming skills in assembly and C languages, and introduces students to the interface and structure of various families of microcontrollers. Mastering the course will allow students to start developing simple embedded systems based on various families of microcontrollers.

Digital Signal Processing

The course is aimed at studying methods and algorithms for improving, analyzing and converting signals in digital form. Students learn the basic principles and theories of digital signal processing, including the Discrete Fourier Transform (DFT), Fast Fourier Transform (FFT), z-transform, and Laplace transform. The course also includes the study of digital filters, linear and non-linear systems, statistical signal processing, as well as the basics of digital modulation and coding. Students also gain practical skills in working with digital signal processing software (on MATLAB). This course is the foundation for more advanced signal processing courses such as image processing, speech processing, and communications.

Computer Networks

The course provides a broad understanding of the principles, architecture, and technologies behind computer networks. Students learn the basics of network communication, wired and wireless connection technologies, data transfer protocols, routing and switching, network security and network resource management. Emphasis is placed on understanding and using the OSI model and the TCP/IP model. This course prepares students for the design, management, and security of computer networks, as well as the foundation for more advanced networking topics and specializations.

Academic Writing

Academic Writing is aimed to develop the ability in differentiating writing styles in English; skills in critical reading and writing strategies to foster critical thinking and prepare a critical analysis of а written piece; understanding of academic vocabulary, grammar and style; skills in writing well structured paragraphs; writing statements with arguments and proofs; and writing an academic essay.

Embedded Systems Design

The course is devoted to the design and development of advanced of embedded systems. The course is aimed at forming students’ understanding of embedded systems based on advanced and industrial microcontrollers, the specifics of their design and operation. As a result of the training, a basic system of knowledge and skills is formed that allows you to understand the principles of the functioning of complex embedded systems, choose tools and technologies for their development, evaluate the effectiveness of their use in various application areas, including IoT.

Control Systems

Industry and large industry are interested in students (personnel) who understand the principles of modern digital production and systems of control and management of large industrial enterprises. The questions of how to choose the points of the most effective application of new technologies and to increase the efficiency of technological processes will be studied.

Cycle of fundamental disciplines

Elective component

Introduction to Programming (C++)

The course is designed to study programming, debugging and implementation of tasks. The principles of network technologies operation, access to local and remote network resources, programs using the C ++ language are analyzed.

C programming

The course focuses on enhancing students’ proficiency in C programming, including writing and executing code, utilizing data structures and algorithms, and problem-solving through coding. Additionally, students will learn how to design, implement and test programs, as well as how to debug and optimize code for improved performance.

Research Methods and Tools

The course is designed to study the basic methods and tools required for the introduction of scientific research. The course also introduces students to the most popular search and scientometric databases of scientific articles, such as Web of Science, Scopus, ScienceDirect and others. During the course, students will become familiar with the tools for citing and searching for the required scientific information.

Control and measuring devices

To give students theoretical knowledge in the field of metrology, standardization and certification. To form and develop practical skills and abilities in carrying out various measurements, including calculations of errors and the choice of adequate measuring instruments.

Industrial Internet of Things