Electronic Engineering

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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 is a part of mathematics devoted to the study of discrete objects (here discrete means consisting of separate or unrelated elements). More generally, discrete mathematics is used whenever objects are counted, when relationships between finite (or countable) sets are studied, and when processes involving a finite number of steps are analyzed. The main reason for the growing importance of discrete mathematics is that information is stored and processed by computing machines in a discrete manner.

The course teaches you to study the 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, as well as be able to use probabilistic models in solving problems, work with random variables, calculate sample characteristics, and evaluate the reliability of statistical data.

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.

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.

The course is designed to develop students’ skills in C++ programming, including advanced object-oriented programming concepts, standard library functions, and data structures. Students will learn to write, debug, and optimize code in C++ and use it to solve real-world problems. The course also covers software design and development, working with templates and inheritance, as well as error handling and exception handling in C++.

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.

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.

The course provides a deep understanding of the principles and applications of analog electronics, including the fundamentals of analog signals, active and passive circuit elements such as resistors, capacitors, inductors, and diodes, and their role in the creation and operation of electronic circuits. The course also covers the analysis and design of various types of analog amplifiers and oscillators, as well as the application of the Fourier transform for signal analysis and processing. In general, this course prepares students for the design and analysis of complex analog electronic systems, and serves as a foundation for more advanced courses in electrical engineering and automation.

As part of the course, students get acquainted with the basics of electrodynamics, which helps to understand the interaction of an electric charge and an electromagnetic field. The course includes the study of dynamic electromagnetic fields and waves, with particular emphasis on the principles underlying Faraday’s law and the Ampère-Maxwell law. For students of electrical engineering and automation, sections on wave equations, their solutions, and the impact on the design and operation of various devices, including antennas and waveguides, are especially important. The course is a necessary foundation for more advanced engineering courses and prepares students to design and analyze engineering systems that interact with electric and magnetic fields.

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.

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.

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.

The discipline builds knowledge about computer hardware and its technical characteristics. Students will get acquainted with the basic concepts of the architecture of a modern personal computer (PC), learn a low-level language – assembly language and programming methods on it, get acquainted with the structure of the most important components of PC hardware and the mechanisms for sending and managing information, the basic rules of logical design.

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.

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.

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.

Course goal is to provide a solid background in engineering mathematics for undergraduate students that will enable them successfully to study more advanced courses in control, signal processing, electronics, and communications engineering.

Course objectives include:
To understand mathematical modelling for representing engineering systems via linear differential equations
To understand the methods of solving linear ODEs To understand the methods in probability theory and mathematical statistics.

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