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

Application in the Teaching of Principal Component Analysis

Authors
Ren Xueli, Dai Yubiao
Corresponding Author
Ren Xueli
Available Online June 2016.
DOI
10.2991/icemc-17.2017.81How to use a DOI?
Keywords
Principal component analysis; Teaching; Knowledge points; Classroom
Abstract

The classroom is the main ways for students to obtain knowledge, there are a lot of curriculum knowledge points and complicated, so it is difficult for students that are required to master all the knowledge. In order to improve the learning effect, the knowledge points should be distinguished to the primary and secondary of the knowledge points effectively, and then the important points of knowledge learning are strengthened to improve the quality of teaching. In this paper, the course of computer foundation as an example, the examination results of students are analyzed by principal component analysis method to know the main influencing factors of the courses, which lays a solid foundation to better carry out the teaching of this course.

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
10.2991/icemc-17.2017.81
ISSN
2352-538X
DOI
10.2991/icemc-17.2017.81How 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  - Ren Xueli
AU  - Dai Yubiao
PY  - 2016/06
DA  - 2016/06
TI  - Application in the Teaching of Principal Component Analysis
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Computer Science (ICEMC 2017)
PB  - Atlantis Press
SP  - 412
EP  - 416
SN  - 2352-538X
UR  - https://doi.org/10.2991/icemc-17.2017.81
DO  - 10.2991/icemc-17.2017.81
ID  - Xueli2016/06
ER  -