The main concept of this program is using modern intellectual methods in developing applications and solving the big data processing (Big Data) problem, which allows to increase efficiency of enterprise management in various fields. One of the features of this program is its orientation to meet the requirements of large enterprises. The program focuses on an enterprise as a system with a developed information infrastructure, providing automation of management tasks with the use of classical approaches, intellectual methods, and tools for processing big data. This approach allows us to obtain new activity characteristics for decision making, forecasting, and formation of control impacts. The approach of the program is aimed at developing competences, which will allow future specialists to speed up the introduction of technologies of intelligent systems development and big data processing while creating modern software tools. Moreover, the obtained competences ensure high demand of these specialists in the labour market.
The main aim of this discipline is to familiarise students with the basics of the theory of complex networks, its basic methods and tools, and modern technologies of network structures analysis.
The main aim of this discipline is to develop students' knowledge about approaches to big data processing, to introduce students to the key information technologies of big data processing, and to study information system Spark and other related technologies.
Students' theoretical knowledge and practical skills in the field of finding solutions to the tasks, which are usually solved by IT departments of enterprises and organisations. Students learn how to analyse business processes, including IT processes.
The purpose of this discipline is to introduce students to the basic algorithms of machine learning and their program implementation using modern software tools.
This discipline provides students with theoretical knowledge and practical skills of constructing and managing intellectual systems.
The main aim of this discipline is to introduce students to the basic algorithms of machine learning and their program implementation using modern software tools.