The purpose of the discipline is to study the scientific principles and methods of solving various problems using neural network methods, to introduce students to the main neural network paradigms, to show the scope of this direction. The course of lectures discusses: the main models of an artificial neuron and networks using an artificial neuron as their element. As a result of the training, the master's student will be able to model and apply machine learning methods for tasks that arise in practice, determine the possibilities and areas of application of existing machine learning methods to solve the problem of recognition of sound, images (individual images, handwritten character input).

The purpose of the course is to introduce the fundamentals of engineering and the main principles of artificial intelligence (AI). Topics include engineering design, automation, algorithms, machine learning, and AI technologies. Upon completion, students develop problem-solving skills and the ability to use AI tools.

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 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.

The purpose of the discipline is to provide students with theoretical and applied knowledge on the methods of scientific research of problems in the professional field. As a result, the student will master the conceptual and terminological apparatus, the theoretical and empirical foundations of science, the foundations of methodology, the key functions of modern science, the stages of scientific research, which will allow performing reports on scientific work in accordance with modern requirements.