Proceedings of the 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016)

Research and Practice on Teaching Mode of Error Theory and Data Processing

Authors
Hongtao Yu, Yuyan Zhang, Xinli Chi, Xichang Han
Corresponding Author
Hongtao Yu
Available Online February 2017.
DOI
https://doi.org/10.2991/emcm-16.2017.121How to use a DOI?
Keywords
Teaching mode; SPOC; Error theory and data processing; MATLAB; Excel
Abstract
Error theory and data processing is a compulsory course for measuring and controlling technology and instrument specialty in Colleges and universities. Students can master data processing methods, correctly estimate the measured value and scientifically evaluate of measurement results by learning this course. The characters of error theory and data processing are wide range of knowledge, deep mathematical theory and strong applicability. Traditional teaching model teachers often focus on the basic theory, ignoring the applications, which will cause that work is not completed well, work efficiency is too low for students to engage in specific related work. In this paper, MATLAB as an example to explore the application of data analysis software in error theory and data processing courses.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016)
Part of series
Advances in Computer Science Research
Publication Date
February 2017
ISBN
978-94-6252-297-8
ISSN
2352-538X
DOI
https://doi.org/10.2991/emcm-16.2017.121How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Hongtao Yu
AU  - Yuyan Zhang
AU  - Xinli Chi
AU  - Xichang Han
PY  - 2017/02
DA  - 2017/02
TI  - Research and Practice on Teaching Mode of Error Theory and Data Processing
BT  - 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcm-16.2017.121
DO  - https://doi.org/10.2991/emcm-16.2017.121
ID  - Yu2017/02
ER  -