Exploratory data analysis methods form an integral part of many engineering programs, as a component of a course in basic statistics. In this article a number of useful approaches are suggested to aid the instructor of the exploratory data analysis methods in engineering education within the framework of the European Credit Transfer System. These include ideas for oral presentations, projects, writing component, student-generated data, and cooperative learning. We believe these techniques help students develop an appreciation for the field of exploratory data analysis and the broad range of its applications in practice.
CitationBlanco, M.; Ginovart, M. “Suggestions for Teaching Exploratory Data Analysis in Engineering Education within the European Credit Transfer System.” Proceedings of the CIEAEM 59. Mathematical activity in classroom practice and as research object in didactics: two complementary perspectives. Dobogókö (Hongria): Varga Tamás Foundation (2007), p. 65-72.
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