in teaching activities
2026 year
Вычислительная техника и программное обеспечение
Системы автоматизированного проектирования
Discipline examines the basic skills of managing computer networks and mechanisms to protect them. The course is represented by sections: virtual local area networks, peer-to-peer networks, domain settings, group policies. Discipline forms students' knowledge of the basic principles of computer network management, skills in setting up and servicing telecommunications equipment.
Discipline examines difficultly formalized tasks associated with the use of artificial intelligence technologies. The course is presented in the following sections: knowledge representation models, heuristic programming and modeling, knowledge output. Discipline forms students' general ideas about the directions and content of research in the field of intellectual and expert information protection systems.
The discipline examines difficult to formalize tasks associated with the use of artificial intelligence technologies. The course is presented in sections: knowledge representation models, heuristic programming and modeling, knowledge inference. The discipline forms in students a general understanding of the directions and content of research in the field of intelligent and expert systems.
Discipline is aimed at reviewing a set of production processes leading to ensuring the required quality of a software tool, as well as a description of this set of processes. Sections of the course: modern strategies and methods of software testing. The course study is focused on understanding the place and purpose of testing in software development processes such as RUP, MSF, ICONIX, XP. Discipline provides skills in planning the testing process, automating and analyzing test results.
The main goal of the undergraduate research practice is to study the theoretical, methodological and technological achievements of domestic and foreign science, as well as to consolidate practical skills in applying modern methods of scientific research, processing and interpreting experimental data in the master's dissertation research.
The course provides theoretical and practical foundations for designing intelligent systems based on neural networks. It covers the construction, training, and optimization of models, as well as their application in various fields. Special attention is given to neural network architectures, training methods, regularization, and model interpretation. Master students will study modern frameworks, master data processing, and develop neural network solutions for task automation. The course includes the study of advanced AI technologies, model development and testing, as well as performance analysis.
The purpose of the research work is to integrate the educational process with the development of the professional field of activity in the areas of master''s degree training. NIRM is focused on the formation of research, innovative thinking, creative potential, professional skills; the ability to carry out scientific research, experimental work in the scientific field related to the direction of the master''s thesis, solving professional problems.
The main goal of the undergraduate's research practice is to study the theoretical, methodological and technological achievements of domestic and foreign science, as well as to consolidate the practical skills of applying modern research methods, processing and interpreting experimental data in a master's thesis research.
Pedagogical practice is focused on preparing students for pedagogical activities in the relevant specialty. In pedagogical practice students learn the specific conditions of pedagogical activity at the university; with the scope and nature of pedagogical assignments; the requirements that the teacher makes real teaching activities in the university. The internship is aimed at improving pedagogical competence.
The research work of the undergraduate is aimed at developing a plan of scientific research, selecting the necessary research methods and data collection, processing the results of the study. The main purpose of the research work of the undergraduate is the ability to compile reports on the results of experimental research, documentation for obtaining a patent and intellectual property rights.
Within the framework of the discipline, the following issues are considered: principles and methods of legal regulation of relations in the field of information security in the Republic of Kazakhstan, the institutional (organizational) structure of information security in the Republic of Kazakhstan, an overview of the legislation of the Republic of Kazakhstan in the field of information security and the measures and measures provided for in it to ensure information security, procedures for confirming compliance of informatization objects with the requirements of legislative acts and mandatory standards in the field of Information security, state control and supervision of compliance with the requirements of legislation in the field of information security. The study of the discipline is aimed at the formation of knowledge, skills and abilities necessary for the implementation of such organizational measures and measures as planning of information security processes, organization of work on the creation and improvement of an integrated system for the protection of an informatization object, development of technical documentation on information security, training and advanced training of users and employees of information security units.
The purpose of the research work is to integrate the educational process with the development of the professional field of activity in the areas of master''s degree training. NIRM is focused on the formation of research, innovative thinking, creative potential, professional skills; the ability to carry out scientific research, experimental work in the scientific field related to the direction of the master''s thesis, solving professional problems.
The discipline forms the theoretical and practical foundations for the strategic use of artificial intelligence in various fields. The course covers the analysis of global development trends and the study of methodologies for its implementation and the assessment of socio-economic conse-quences. The course provides for the development of methods of strategic planning, modeling scenarios for the development of AI and mechanisms for its integration into busi-ness processes, industry and public admin-istration.
Pedagogical practice is focused on preparing students for pedagogical activities in the relevant specialty. In pedagogical practice students learn the specific conditions of pedagogical activity at the university; with the scope and nature of pedagogical assignments; the requirements that the teacher makes real teaching activities in the university. The internship is aimed at improving pedagogical competence.
The course provides theoretical and practical foundations of deep learning and neural network design. It covers the construction, training, and optimization of multilayer models, as well as their application in various fields. Special attention is given to deep learning architectures, regularization methods, the training process, and model interpretation. Master students will explore modern frameworks, master data processing, and apply neural networks to solve practical problems. The course includes the study of advanced AI technologies, the development and testing of models, and the analysis of their performance.
Industrial practice 1 is aimed at consolidating and deepening the theoretical training of students in the field of real estate economics and the acquisition by students of practical skills and competencies in the field of professional activity. The content of the main sections: the concept of real estate in the legislation of the Republic of Kazakhstan, the features of real estate as property, the study of literature in the field of pricing in the real estate market, the collection of factual material for the study of segments of the real estate market in the Republic of Kazakhstan as a whole, a separate region and district, its analysis and evaluation , analysis of pricing factors of residential real estate (on a specific example), development of a program for managing a property. Learning outcomes: to have the skills and experience in collecting and analyzing data in the field of real estate from domestic and foreign sources of information, the skills and experience in preparing an information review and / or an analytical report in the field of real estate.
The discipline is part of theoretical training in the field of organization and conduct of scientific research. Sections: Methodological characteristics of the study (substantiation of the relevance of the study; problem and topic of the study; purpose, object and subject of the study; research hypothesis; research objectives; criteria for evaluating experimental activity); The relationship of the main methodological characteristics of the study; Methods of theoretical and empirical research; Statistical methods and means of formalization in the study. The course is focused on the formation of a system of basic knowledge about the methodological foundations of the organization and technology of scientific research
The course is aimed at developing skills in using application software packages, conducting independent creative search and the possibilities of modern information technologies and trends in their development. The discipline studies the main trends in the field of information and communication technologies and the use of information resources for information retrieval and storage. The course is presented in sections: application software packages, the introduction of independent creative search and the possibilities of modern information technologies and trends in their development. The Internet.
The discipline focuses on the study of computer-aided design systems for building drawings and three-dimensional models of any complexity in accordance with design standards. Course sections: fundamentals of design, classification of modern CAD systems, international design standards (ISO) and current industry standards of the ESCD, automated drawing development systems, three-dimensional modeling systems, the concept of CALS technologies. The study of the course is focused on the formation of students' skills in accordance with the standards of development and design of graphic, computational and design work.
The discipline is the basis of training of professional activity of graduates. The course is presented in the following sections: the main directions in the field of software engineering, software engineering; object-oriented approach to software development; visual modeling language UML. The course is aimed at the formation of students' knowledge and skills in the field of development of modern methods and means of software development.
The discipline is the basis of training of professional activity of graduates. The course is presented in sections: methods and technologies, structural, object-oriented approaches of analysis, design, software development using CASE-tools. The study of the course is aimed at the formation of students' knowledge and skills in the organization of the process of creating software using the technological principles of industrial design of software systems.
The discipline studies the basic techniques of programming in C++. The course is presented in sections: program structure, operations, instructions, arrays, strings, pointers, structures, functions, console and file I/o. The discipline forms students' ability to develop both console applications and applications with a graphical interface.
Discipline is a part of the cycle of major disciplines. The course is presented in the following sections: integrated design technology, block-hierarchical approach to system design, micro-modeling, macro-modeling, metamodeling, modeling system using standard mathematical schemes. The study of the course is focused on the formation of students' methodology for modeling systems in computer-aided design.