The discipline studies approaches to improving security in computer systems. The lecture course examines the main security threats and how to eliminate them using software. In laboratory classes, students test the learned methods in practice, study modern software to improve the security of information systems.

The subject of the course is modern technologies for creating applications for mobile devices in Java, popular mobile platforms and opportunities that provide these platforms for the development of mobile applications based on emulators; modern technologies for creating Web - systems, existing architectures and technologies for building WEB-systems with databases.

The study of the course is based on the development of the ability to independent research (analysis, comparison, systematization, abstraction, modeling, verification of data, decision making, etc.); willingness to generate and use new ideas; readiness to use modern achievements of science and advanced technologies used to build a global information and communication infrastructure; ability to choose methods of calculation and experiment, to analyze and present results of researches of information networks; ability to develop recommendations for the use of research information networks; readiness to submit research results in the form of reports and publications.

As part of the course project, students solve the problem of optimizing the structure of the information system, while forming the objective function, boundary conditions, optimization criteria; explore the structure and functions of the information network; choose and apply mathematical methods of optimization to select the optimal structure of the information system according to specified criteria.

The discipline studies the architecture and principles of cloud computing. The advantages and disadvantages of cloud and classical computing, features of the organization of computing, data storage, network interactions in cloud solutions are considered. The labs explore technology implementations from the world's leading cloud computing providers.

Research work of students is one of the areas of their independent work, an important factor in the training of highly qualified specialists, covers two aspects: teaching students elements of research activities, organization and methods of scientific creativity; scientific research is carried out by students under the guidance of the teaching staff.

The master's work is a completed independent research, in which scientific provisions are put forward for public protection, is evidence of a sufficient scientific-theoretical and scientific-practical level, the ability to creatively use modern research methods.

The subject of this course is technologies and methods of artificial intelligence in the design of applied information systems
The objectives of the discipline "Design of intelligent systems" are to acquaint students with the design of information systems using applied methods of artificial intelligence: neural networks, fuzzy logic, genetic algorithm, agent modeling, multicriteria optimization and approaches to data mining.

The purpose of teaching the course is to train professionals to widely use the basic principles and methods of designing modern infocommunications. The study of the discipline allows to understand the relationship and interaction of the main processes that occur in the design of computer networks, to understand the unity of analysis, synthesis and optimization that occur at all hierarchical levels of design; learn modern terminology used in design.

Project work

The subject of study of the course is the basic principles of designing computer systems and networks. Most of the course is devoted to the study of the organization of a structured cabling system and documentation of the network project.

The discipline studies approaches to data storage in distributed systems. The issues of reliability, performance, fault tolerance of data storage systems are considered. In the lab, students configure and explore popular open source storage systems.

The study of the course enables to understand the tasks of data analysis: construction and testing of hypotheses about the properties of distributions, determination of structural characteristics of variation series, construction of mathematical models in the form of regression curves, different types of statistical analysis: variance, correlation, regression, factor, cluster and others.

The subject of the discipline is the structural organization of modern infocommunications, hardware and software of computing technology, integrated into computer networks, from the point of view of ensuring the appropriate indicators of reliability and survivability in accordance with the recommendations and standards of international and state departments. To assess the reliability and survivability of computer networks, models of the processes that arise when servicing applications entering the network are studied, taking into account the applied network protocols.

The subject of study of the academic discipline is mastering the principles of scientific research for use in the field of infocommunications to optimize the structural organization of modern infocommunication networks, hardware and software of computing technology, integrated into computer networks, as well as models of a variety of processes that arise when servicing applications entering the network, with taking into account the applied network protocols.