Proceedings of the 1st International Symposium on Innovation and Education, Law and Social Sciences (IELSS 2019)

Exploration on the Large Class Enrollment and Classified Cultivating of Computer Specialty

Authors
Dong Liu
Corresponding Author
Dong Liu
Available Online August 2019.
DOI
10.2991/ielss-19.2019.36How to use a DOI?
Keywords
large class enrollment; specialty diversion; computer specialty.
Abstract

Specialty diversion is a key link in the reform of the training mode of large categories of enrollment talents. As an example, South China Business College of Guangdong Institute of Foreign language and Foreign Studies, this paper probes into the diversion of major enrollment majors for computer majors, including the principle and concrete implementation process of specialty diversion, analyzes some problems existing in the process of specialty diversion, and briefly describes the corresponding countermeasures.

Copyright
© 2019, 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 1st International Symposium on Innovation and Education, Law and Social Sciences (IELSS 2019)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
August 2019
ISBN
978-94-6252-778-2
ISSN
2352-5398
DOI
10.2991/ielss-19.2019.36How to use a DOI?
Copyright
© 2019, 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  - Dong Liu
PY  - 2019/08
DA  - 2019/08
TI  - Exploration on the Large Class Enrollment and Classified Cultivating of Computer Specialty
BT  - Proceedings of the 1st International Symposium on Innovation and Education, Law and Social Sciences (IELSS 2019)
PB  - Atlantis Press
SP  - 189
EP  - 192
SN  - 2352-5398
UR  - https://doi.org/10.2991/ielss-19.2019.36
DO  - 10.2991/ielss-19.2019.36
ID  - Liu2019/08
ER  -