Evaluation of a Graduate Level Data Mining Course with Industry Participants

Data mining courses are increasingly being taught at many universities at both undergraduate and graduate 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 paper discusses the student population and presents the course structure and assessment. An empirical evaluation of student responses, conducted at the end of the course, is then provided, with an emphasis on differences in responses from graduate students and external participants. To the best of the author’s knowledge, this is the first such detailed empirical evaluation of a data mining course.

• Type: Conference
• Year: 2007
• Where: AUSDM
• Authors: Peter Christen
• Keywords: AUSDM 2007, Data Mining, Data Mining Course, Graduate Level, Mining Course Run