Design of Machine Sorting Based College Course Selection System

DOI

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.

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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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  - Proceedings of the 2016 International Conference on Education, Management and Computer Science
PB  - Atlantis Press
SP  - 659
EP  - 663
SN  - 1951-6851
UR  - https://doi.org/10.2991/icemc-16.2016.133
DO  - 10.2991/icemc-16.2016.133
ID  - Sun2016/05
ER  -