Open AccessOn curriculum relevance of the information management and information system major in the age of big data
Author(s) -
Weiwei Wu,
Xiqin Ao,
Li Fan
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1550/3/032147
Subject(s) - relevance (law) , ibm , pearson product moment correlation coefficient , computer science , management information systems , curriculum , information system , correlation coefficient , service (business) , a priori and a posteriori , data science , information management , software , big data , product (mathematics) , knowledge management , data mining , statistics , machine learning , mathematics , engineering , psychology , pedagogy , philosophy , materials science , economy , law , geometry , epistemology , political science , programming language , electrical engineering , economics , nanotechnology
This paper aims to study the curriculum relevance of the major of information management and information system in the age of big data by analysing the curriculum scores of students via Pearson correlation coefficient and Apriori algorithm employing the software IBM Statistical Product and Service Solutions (SPSS) Statistics 26.0. The correlations between different courses are presented from the multiple perspectives by statistical description. The results could provide a theoretical basis to improve the training program of information management and information system major.