Proceedings of the symposium of Japanese Society of Computational Statistics
Online ISSN : 2189-583X
Print ISSN : 2189-5813
ISSN-L : 2189-5813
25
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An e-Learning Course for Multivariate Analysis : The Case of Rikkyo University(Session 1a)
Yusuke KanazawaUshio TanakaKazunori Yamaguchi
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Pages 55-56

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Abstract

Center for Statistics and Information in Rikkyo University has developed an e-learning course for multivariate analysis. This course is designed for students in arts departments and has two features. First, contents in this course are based on examples of analysis of real data, rather than mathematical aspects. Second, this course has some devices to learn multivariate analysis with interactive materials. These two features enables students to learn multivariate analysis, without a struggle for mathematical aspects.

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© 2011 Japanese Society of Computational Statistics
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