Practical Teaching Research of Data Science and Big Data Technology Major Under Engineering Education Background
- DOI
- 10.2991/assehr.k.200826.261How to use a DOI?
- Keywords
- Engineering education, big data, practical teaching, project-driven, project case
- Abstract
It is an important measure to make up for the talent gap of big data industry in China to set up data science and big data technology majors in Colleges and universities. Practice teaching plays an irreplaceable role in the cultivation of big data talents. Taking the practical teaching of data science and big data technology in Chengdu University of Information Technology as the research object, research is also combined with the requirements of CDIO engineering education. From two aspects: the construction of a professional practice curriculum system and the reform of project-driven practical teaching model, we discuss the project-driven big data professional practical teaching. It is characterized by the design of reasonable engineering projects, decomposed by ‘modular’ according to the curriculum system. The whole project is dispersed in the practice course, and students’ mastery of knowledge is realized through ‘project-driven, learning by doing”, so as to improve students’ practical ability, practical innovation and entrepreneurship ability, and team cooperation ability, and finally achieve goals of professional training.
- 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/).
Cite this article
TY - CONF AU - Le Wei AU - Qiuyun Zhao PY - 2020 DA - 2020/08/28 TI - Practical Teaching Research of Data Science and Big Data Technology Major Under Engineering Education Background BT - Proceedings of the 2020 4th International Seminar on Education, Management and Social Sciences (ISEMSS 2020) PB - Atlantis Press SP - 1271 EP - 1275 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.200826.261 DO - 10.2991/assehr.k.200826.261 ID - Wei2020 ER -