The purpose of this discipline is to teach students the basic concepts, methods and technologies of artificial intelligence, as well as to develop their practical skills in developing AI applications and integrating them into IT projects. After completing the course, the student will have an understanding of the basic approaches to the creation and use of artificial intelligence, will be able to develop and implement AI solutions in various areas of IT, as well as analyze and optimize their performance and efficiency.

This discipline provides for the study of the basic concepts of parallel computing, necessary for the subsequent study of models, methods and technologies of parallel programming. In a simple and understandable form, the course provides examples of modern high-performance computing systems, discusses ways to analyze the complexity of calculations and assess the possibility of their parallel execution, provides the basics of developing parallel methods. The purpose of the discipline is to familiarize students with the totality of information processing tools and personnel combined to achieve certain goals.

The purpose of the discipline is to form students' understanding of cloud technologies as a modern means of providing ubiquitous and convenient network access to computing resources, and virtualization technologies. After completing the course, the student will have knowledge of the basic concepts of cloud technologies, software development for cloud systems, use cloud programming methods, know the architecture and cloud computing services for enterprise information systems.

The purpose of the discipline is to form students' understanding of cloud technologies as a modern means of providing ubiquitous and convenient network access to computing resources, and virtualization technologies. After completing the course, the student will have knowledge of the basic concepts of cloud technologies, software development for cloud systems, use of cloud programming methods, know the architecture and cloud computing services for enterprise information systems.

The purpose of the discipline is to form theoretical and practical knowledge about cloud computing technology, as well as practical skills in realizing the benefits of cloud technologies in modern business and studying their instrumental tools, which will enable students to successfully solve tasks in their professional activities. As a result of studying the discipline, students must master knowledge in the fields of developing software projects using Microsoft Visual Studio, configuring computers and software components, selecting basic configurations of PCs and peripheral devices, integrating hardware and software tools, and designing and assembling the architecture of computer networks and telecommunication systems, as well as be able to apply this knowledge to create modern digital and business solutions.

The purpose of the discipline is to form theoretical and practical knowledge about the architecture and functioning principles of operating systems, the construction and administration of computer and industrial networks, network models, data transmission protocols, virtualization tools, infrastructure diagnostics and protection, as well as the application of network technologies in the electric power industry, automated control systems, and SCADA systems, which will allow students to successfully solve problems in their professional activities. As a result of studying the discipline, students must master knowledge and skills in the fields of configuring operating systems and network equipment, organizing information exchange, and ensuring the information security of energy facilities, as well as be able to apply this knowledge to create modern digital, informational, and automated control systems.

The purpose of this discipline is to master the basic principles and methods of artificial intelligence, develop the skills to apply them in practical tasks in various industries, as well as improve knowledge in information and communication technologies. Upon completion of the course, students will be able to analyze and interpret data, make decisions based on machine learning algorithms, and use artificial intelligence models to optimize processes and increase efficiency in their professional activities.