Diversified Transformation of University Inside and in Interaction with Industrial and Social Environment
Volume 9, Issue 4, July 2020, Pages: 95-98
Received: May 31, 2020;
Accepted: Jun. 11, 2020;
Published: Jun. 23, 2020
Views 42 Downloads 137
Evgeniy Bryndin, Research Center "Estestvoinformatika", Novosibirsk, Russia
The main task of the higher educational institution is to ensure accumulation of up-to-date modern knowledge, competences and training experience, as well as development of skills and results of objective research of entities of phenomena, processes, objects and patterns of the real world and cultivation of multi-inter-disciplinary fundamental and applied researchers in priority areas of scientific technological development and strategically important industries. The university 's digital transformation should provide continuous learning, improve the learning ecosystem to train competent personnel with financial, legal, digital, entrepreneurial and professional literacy and systemic, creative, innovative and strategic thinking. This requires the involvement of broad stakeholder groups in the development and expansion of transformational mobility tools for university education. Transformational mobility of universities serves as a tool to increase the efficiency of university management, increase the quality of education and ensure its maximum individualization to the needs of a specific study and employer. The main principles of the construction of modern organizations, enterprises and institutions of innovative knowledge economy are the following: the principle of training through the solution of tasks the development of the system of regular participation of students and employees in the joint implementation of real projects within the framework of the activities of virtual project-oriented teams on orders of enterprises of domestic and world industry on the basis of the advanced acquisition and application of modern key competences, in the first and computer engineering technologies. The approach to determining the content of training involves the development of a system of core tasks that define the main directions for the development of science and technology in the relevant industry.
Diversified Transformation of University Inside and in Interaction with Industrial and Social Environment, Education Journal.
Vol. 9, No. 4,
2020, pp. 95-98.
Copyright © 2020 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Evgeniy Bryndin. Creative Innovative Higher Education of Researchers with Flexible Skills and Synergy of Cooperation. Scientific Journal of Research and Review, Vol. 1, Issue 2. 2018. P. 1-5.
Evgeniy Bryndin. System Synergetic Formation of Society 5.0 for Development of Vital Spaces on Basis of Ecological Economic and Social Programs. / Annals of Ecology and Environmental Science. Volume 2, Issue 4, 2018, Page No: 12-19.
Evgeniy Bryndin. Technological, Economic and Social Aspects of Management by Development of the Digital Industry 4.0. International Journal of Managerial Studies and Research (IJMSR), vol 6, no. 4, 2018, pp. 19-30.
Evgeniy Bryndin. Communicative Associative Logic of Cognitive Professional Robot with Imitative Thinking. Journal Engineering Mathematics, Volume 2, Issue 2. 2018. Pages: 79-85.
Evgeniy Bryndin. Directions of Development of Industry 4.0, Digital Technology and Social Economy. American Journal of Information Science and Technology. V 2, Issue 1. 2018. P. 9-17.
Evgeniy Bryndin. Digital technologies of the industry 4.0. / Chepter 10, С. 201-222, Book: Computer Science Advances: Research and Applications. Nova Science Publisher. 2019. 252 p.
Evgeniy G. Bryndin. Modeling of Transformation of Nanostructures by Cognitive Systems on the Basis of Big Smart Data. International Journal of Artificial Intelligence and Mechatronics. Volume 7, Issue 4. 2019. P. 19-22.
Evgeniy Bryndin. System retraining to professional competences of cognitive robots on basis of communicative associative logic of technological thinking. International Robotics Automation Journal. 2019; 5 (3): 112‒119.
Evgeniy Bryndin. Human Digital Doubles with Technological Cognitive Thinking and Adaptive Behaviour. Software Engineering, Volume 7, Issue 1, 2019. P. 1-9.
Evgeniy Bryndin. Mainstreaming technological development of industrial production based on artificial intelligence. COJ Technical & Scientific Research, 2 (3). 2019. Pages: 1-5.
Evgeniy Bryndin. Robots with Artificial Intelligence and Spectroscopic Sight in Hi-Tech Labor Market. International Journal of Systems Science and Applied Mathematic, V. 4, №3, 2019. P: 31-37.
Evgeniy Bryndin. Formation of Technological Cognitive Reason with Artificial Intelligence in Virtual Space. Britain International of Exact Sciences Journal, Volume 2, Issue 2, May 2020. Page: 450-461.
Evgeniy Bryndin, Irina Bryndina. Supporting Technology of Vigorous Activity by Normalization of Biofield and by Healthy Lifestyle. International Journal of Healthcare and Medical Sciences, 2019, Vol. 5, Issue 2. Pages: 1-11.
Evgeniy Bryndin, Irina Bryndina. Technological Diagnostics of Human Condition According to Spectral Analysis of Biofield. Advances in Bioscience and Bioengineering. Volume 7, Issue 3, 2019. Pages: 64-68.
Bryndin E, Bryndina I. Training of Healthy Lifestyle in Educational Schools. Asclepius Medical Case Reports 2019; 2 (1): 1-3.
Evgeniy Bryndin. Creative innovative transformational ecosystem of formation of humane technological society. International Robotics Automation Journal. 2019; 5 (3): 91-94.
Evgeniy Bryndin. Transformation Modeling of Nanostructures by Cognitive Systems according to Big Smart Data. Chepter 3, Pages: 21-28. / Book “New Materials: Preparation, Properties and Applications in the Aspect of Nanotechnology”. USA: Nova Science Publisher. 2020. 250 p.
Evgeniy Bryndin. Development of Artificial Intelligence by Ensembles of Virtual Agents on Technological Platforms. COJ Technical & Scientific Research. 2 (4). 2020. Pages: 1-8.