Proceedings of the 7th International Conference on Education, Management, Information and Computer Science (ICEMC 2017)

Research and Practice on Bilingual Teaching of Data Mining Course for Statistics Postgraduates

Authors
Xu Xing, Liu Bingxiang, Hu Na
Corresponding Author
Xu Xing
Available Online June 2016.
DOI
https://doi.org/10.2991/icemc-17.2017.221How to use a DOI?
Keywords
Bilingual teaching; Data mining; Teaching methods; Research-oriented teaching
Abstract

The data mining course is an important course of postgraduates of statistics and computer science and technology majors in Jingdezhen Ceramic Institute. In order to improve the postgraduates' ability of learning the latest expertise in the field of data mining and tracking the frontiers of discipline, we choose the classic English textbooks, write English courseware, publish English scientific papers, let them simulate and participate in international academic conferences and use other bilingual Teaching practice modes.

Copyright
© 2017, 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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Volume Title
Proceedings of the 7th International Conference on Education, Management, Information and Computer Science (ICEMC 2017)
Series
Advances in Computer Science Research
Publication Date
June 2016
ISBN
978-94-6252-372-2
ISSN
2352-538X
DOI
https://doi.org/10.2991/icemc-17.2017.221How to use a DOI?
Copyright
© 2017, 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  - Xu Xing
AU  - Liu Bingxiang
AU  - Hu Na
PY  - 2016/06
DA  - 2016/06
TI  - Research and Practice on Bilingual Teaching of Data Mining Course for Statistics Postgraduates
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Computer Science (ICEMC 2017)
PB  - Atlantis Press
SP  - 1086
EP  - 1090
SN  - 2352-538X
UR  - https://doi.org/10.2991/icemc-17.2017.221
DO  - https://doi.org/10.2991/icemc-17.2017.221
ID  - Xing2016/06
ER  -