Proceedings of the 2016 International Conference on Education, Management and Computer Science

Design of Machine Sorting Based College Course Selection System

Authors
Qiliang Sun, Qixia Zhang
Corresponding Author
Qiliang Sun
Available Online May 2016.
DOI
https://doi.org/10.2991/icemc-16.2016.133How to use a DOI?
Keywords
Management information system; Linear regression; Least squares estimation; Java Web; Sorting formula
Abstract
This article discusses a machine sorting problem in Management Information System. We take course selection system as an example. Teachers browse the courses and apply for the courses on the web. According to machine sorting results, the system determines a list of teachers to teach the course. Among the design of course selection system, sorting is the most important content. Currently, the sorting process only takes into account four factors: teachers' professional titles, evaluation score, whether teachers have taught the course or not, needs of teachers. We choose linear regression model from historical data as our sorting formula. The sorting formula is applied for the design of course selection system. Machine sorting makes course arrangement more optimal, objective, fair, efficient, and economical. This WEB-based course selection system possesses a value of application and can be extended to the design and implementation of similar systems.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 International Conference on Education, Management and Computer Science
Part of series
Advances in Intelligent Systems Research
Publication Date
May 2016
ISBN
978-94-6252-202-2
ISSN
1951-6851
DOI
https://doi.org/10.2991/icemc-16.2016.133How 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  - Qiliang Sun
AU  - Qixia Zhang
PY  - 2016/05
DA  - 2016/05
TI  - Design of Machine Sorting Based College Course Selection System
BT  - 2016 International Conference on Education, Management and Computer Science
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icemc-16.2016.133
DO  - https://doi.org/10.2991/icemc-16.2016.133
ID  - Sun2016/05
ER  -