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An Approach to Improvement of Master's and PhD Studies in Data Processing and Management Systems

An Approach to Improvement of Master's and PhD Studies in Data Processing and Management Systems
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Author(s): Artem A. Sukhobokov (Bauman Moscow State Technical University, Russia), Vitaliy Baklikov (Optimal Management LLC, UK), Dmitry S. Lakhvich (Bauman Moscow State Technical University, Russia), Andrey V. Sukhobokov (Optimal Management LLC, Russia) and Ilya V. Tikhonov (Bauman Moscow State Technical University, Russia)
Copyright: 2019
Pages: 16
Source title: Handbook of Research on Engineering Education in a Global Context
Source Author(s)/Editor(s): Elena V. Smirnova (Bauman Moscow State Technical University, Russia) and Robin P. Clark (University of Warwick, UK)
DOI: 10.4018/978-1-5225-3395-5.ch013

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Abstract

To make Master's and PhD theses more influential on the evolution of the software industry, and to make them even more effective and successful, the authors propose that they be directed towards developing cognitive systems and expanding the functionality of integrated big data platforms. Within this field, the authors propose that their themes be organized in the form of the following dual model: for each thesis that develops an emerging new cognitive component inside a core big data platform, there is another thesis that develops a corresponding cognitive component/module within the application layer that uses that component of the core big data platform.

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