A Summary of Research on the Training Path of Applied Big Data Talents Under the Background of New Engineering

DOI

10.2991/assehr.k.200401.032How to use a DOI?

Keywords

big data, new engineering, talent training

Abstract

With the continuous development of big data technology and its wide application in all walks of life, big data has officially become a national strategy. However, because of the urgent need for the research ability and quality innovation talents of big data science, the cultivation of top-notch innovation talents who are engaged in big data processing and high-performance computing has become the most urgent problem. The construction of new engineering course is to solve the deep-seated problem that engineering professional education lags the development of new economy and new technology. In this paper, based on the practice of the course construction of big data specialty, and on the summary of the views of Wu Hejun, Ding Ying, Zhang Renzhi, Wang Chao, Ma Jiaxing, etc., the organic integration of new subjects and basic subjects in specialty construction is put forward, so as to adapt to and lead the construction process of new engineering.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Weiwei Gong
AU  - Jianjun Huang
AU  - Yingjian Xiao
PY  - 2020
DA  - 2020/04/06
TI  - A Summary of Research on the Training Path of Applied Big Data Talents Under the Background of New Engineering
BT  - Proceedings of the International Conference on Education, Economics and Information Management (ICEEIM 2019)
PB  - Atlantis Press
SP  - 130
EP  - 132
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200401.032
DO  - 10.2991/assehr.k.200401.032
ID  - Gong2020
ER  -