将传统的信息系统入门课程转变为侧重于数据分析的课程

IF 0.8 Q3 EDUCATION & EDUCATIONAL RESEARCH Decision Sciences-Journal of Innovative Education Pub Date : 2022-08-04 DOI:10.1111/dsji.12275
Thomas Tiahrt, Bartlomiej Hanus, Jason C. Porter
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引用次数: 0

摘要

公司希望毕业生能够执行当前和未来的商业实践,其中许多都与数据有关。为了满足这些需求,我们将所需信息系统课程的方向从技术转向了数据。学生学习的不是对信息系统的调查,而是在信息系统环境下的数据获取-准备-挖掘-呈现过程。修订后的本科入门课程的范围包括决策树、贝叶斯分类器和聚类;它使用微软的Excel、Access、SQL Server、Power BI和SQL Server分析服务向学生展示数据分析的基础知识。学生们对这一变化表示欢迎,并明白课程材料直接适用于他们作为工作专业人士的经历。同样,雇主们也对这一变化表示赞赏,并告诉我们,我们的毕业生在接受最少培训的情况下,可以更好地进行数据分析。
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Transitioning a traditional introductory information systems course to a data analytics focused course

Firms desire graduates capable of executing current and future business practices, many of which revolve around data. To meet those needs, we shifted the orientation of our required information systems course from technology to data. Instead of a survey of information systems, students learn the data acquisition–preparation–mining–presentation process in an information-systems setting. The scope of the revised undergraduate introductory course includes decision trees, Bayesian classifiers, and clustering; it uses Microsoft's Excel, Access, SQL Server, Power BI, and SQL Server Analysis Services to reveal the basics of data analytics to students. Students have welcomed the change and understand that the course material directly applies to what they will experience as working professionals. Similarly, employers have appreciated the change and tell us that our graduates are better prepared to perform data analysis with minimal training.

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来源期刊
Decision Sciences-Journal of Innovative Education
Decision Sciences-Journal of Innovative Education EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
3.60
自引率
36.80%
发文量
25
期刊最新文献
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