Evaluation of a graduate level data mining course with industry participants

Peter Christen*

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Citation (Scopus)

    Abstract

    Data mining courses are increasingly being taught at many universities at both undergraduate and gradu-ate levels. This paper reports on a new graduate level data mining course run for the first time in 2007 at a major Australian university. The course had almost 20% enrolments of industry based participants from both private and public sector organisations. This pa-per discusses the student population and presents the course structure and assessment. An empirical eval-uation of student responses, conducted at the end of the course, is then provided, with an emphasis on dif-ferences in responses from graduate students and ex-ternal participants. To the best of the author's knowl-edge, this is the first such detailed empirical evalua-tion of a data mining course.

    Original languageEnglish
    Title of host publicationData Mining and Analytics 2007 - 6th Australasian Data Mining Conference, AusDM 2007, Proceedings
    Pages233-241
    Number of pages9
    Publication statusPublished - 2007
    Event6th Australasian Data Mining Conference, AusDM 2007 - Gold Coast, QLD, Australia
    Duration: 3 Dec 20074 Dec 2007

    Publication series

    NameConferences in Research and Practice in Information Technology Series
    Volume70
    ISSN (Print)1445-1336

    Conference

    Conference6th Australasian Data Mining Conference, AusDM 2007
    Country/TerritoryAustralia
    CityGold Coast, QLD
    Period3/12/074/12/07

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