Smart Technologies

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 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.

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 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 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 further enhances student academic English skills by emphasizing 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 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 helps students acquire complex knowledge on history of Motherland, identify true history based on facts, evidence, written and archival records, research analysis and develops historical consciousness in accordance with national priorities and modern challenges. History of Kazakhstan covers events, facts, processes, and historical patterns that have taken place from antiquity to the present day. This course is very important because it is a state-significant academic discipline which develops civil identity and brings its contribution to the development of students’ knowledge.

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 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.

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, considering the basics of life safety. Based on 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.

Within the framework of the academic discipline, the student studies the essence of entrepreneurial activity based on 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 considering sustainable development, ecology and safety of personnel.

This discipline covers the basic concepts of computer science, including understanding how computers work, their history, hardware and software basics, algorithms, data structures, and an introduction to programming languages.

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.

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 course introduces students to the concept of software development based on objects and their interaction. In this discipline, students will create classes and objects, define their properties and methods, and use inheritance and polymorphism to create flexible and modular software systems. Object-oriented programming is a widely used programming paradigm, and understanding its principles and practices is important for future software developers.

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.

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.

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.

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.

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 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 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.

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.

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.

This course provides in detail 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 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.

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

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.

Students learn about data collection, storage, processing, analysis, and interpretation using advanced analytics methods such as machine learning and data mining.

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