The University of Oviedo, Oviedo, Spain:

Alvarez A., Manager, PhD
Fernandez E., Professor, PhD

National Research University Higher School of Economics, Moscow, Russia:
Prokofeva E. N., Associate Professor, Candidate of Engineering Sciences, kotvasya2@mail.ru, eprokofyeva@hse.ru
Vostrikov A. V., Associate Professor, Candidate of Engineering Sciences

The complexity of modern technology and the increase in the number of functions performed by the required equipment in the processing of large amounts of data, puts, especially given the conditions of import substitution, the problem of ensuring the quality and efficiency of engineering works in various directions. In addition, among other industries in the mining industry, the quality of computer technology depends not only on indirect statistical quantitative analysis, but also on the management of safety systems and, hence, people’s lives. The concept of the main directions of the state policy in the sphere of education for 2016-2020, based on the world standards of training of CDIO engineers, creates a favorable environment for the organization of training of competent competitive specialists of a certain engineering profile for the growth of competitiveness of the mining and mining industry of the Russian Federation in the world market, obtaining key economic results and achievements. The improvement of educational methods and tools for training and advanced training of mining engineers in the current period is based on the active implementation of the Standard of global engineering education, which forms a complex environment where trained engineers must be able to “Think-Design-Implement” and “Manage” systems in a team interaction for maximum synergetic effect. On the basis of a number of national universities of the 5-100 program, an open space of engineering education is being created, which involves the formation of an innovative environment and infrastructure based on modern technology (including super-computers), engineering and digital components in the framework of educational and research processes of training in-demand specialists. The implementation of the digital approach and design principles in specialized engineering education is aimed at the formation of key research skills, conducting virtual experiments in cooperation and collaboration with colleagues and experts [1-7]. Accordingly, the development of new geographic information methods of spatial data analysis in digital project engineering training is an important task in view of the current challenges of the information society and the economy.

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