Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications

Research on training mode of computer network based on competency

Authors
Xiaozhong Chen, Zhijian Mao
Corresponding Author
Xiaozhong Chen
Available Online May 2016.
DOI
10.2991/wartia-16.2016.70How to use a DOI?
Keywords
Post competency, computer network major, curriculum reform
Abstract

Job competency model, as an organization can enhance the core competitiveness of the talent management model, has been widely recognized by many enterprises and institutions. This article will post competency theory into the computer network of professional personnel training and curriculum reform, refining Competency elements to build a computer network Competency typical model of computer network specialty typical job capacity and systematic approach to quality vocational training for enhance students' professional core competencies, improve the quality of personnel training reference.

Copyright
© 2016, 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 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
Series
Advances in Engineering Research
Publication Date
May 2016
ISBN
10.2991/wartia-16.2016.70
ISSN
2352-5401
DOI
10.2991/wartia-16.2016.70How to use a DOI?
Copyright
© 2016, 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  - Xiaozhong Chen
AU  - Zhijian Mao
PY  - 2016/05
DA  - 2016/05
TI  - Research on training mode of computer network based on competency
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 351
EP  - 354
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.70
DO  - 10.2991/wartia-16.2016.70
ID  - Chen2016/05
ER  -