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Conditions Affecting the Professional and Project Training of Engineering Personnel

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 907))

Abstract

The article presents the results of the study aimed at identifying factors that affect the professional and project training of engineers in TUSUR. The authors focus on description of key factors that ensure a productive development of modern technologies for engineering, organize educational and cognitive activities for students. The level of education and training of highly qualified engineers are determined by the progress of students which depends on a number of motivational conditions: methodological support of educational process, informing students about the university life and background, relations with university teachers and administration, degree of satisfaction with the training in the university. The data analysis made it possible to establish an important factor in the competitiveness of TUSUR graduates at the labor market is graduates’ entrepreneurial activity, and conformity of acquired knowledge with the real needs of the economy. This is directly related to organization of the educational process, built according to the logic of positioning the university as an entrepreneurial institution in connection with the need to develop and apply innovative pedagogical technologies, methods for professional and project training of engineering personnel. Whereas the use of new design methods and techniques by the faculty in future specialists training in line with the declared ideology of the university makes it possible to effectively attract undergraduate students to further study in masters and postgraduate studies.

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Correspondence to Margarita Yu. Raitina .

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Raitina, M.Y., Smolnikova, L.V., Gorskikh, O.V., Suslova, T.I. (2019). Conditions Affecting the Professional and Project Training of Engineering Personnel. In: Anikina, Z. (eds) Going Global through Social Sciences and Humanities: A Systems and ICT Perspective. GGSSH 2019. Advances in Intelligent Systems and Computing, vol 907. Springer, Cham. https://doi.org/10.1007/978-3-030-11473-2_9

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