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MIS372 - Predictive Analytics

Offering information:

Not offered in 2014

Enrolment modes:

Trimester 2: Burwood (Melbourne), Waterfront (Geelong), Cloud (Online)

Credit point(s):1
EFTSL value:0.125
Previously coded as:Nil
Unit chair:S Matharage
Prerequisite:

MIS171 (previously coded MSQ171)

Corequisite:

Nil

Incompatible with:

Nil

Contact hours:

1 x 2 hour class, 1 x 1 hour seminar per week

Note:

You will need to access substantial learning resources and experiences in CloudDeakin (Deakin’s online learning environment). Compliance with the Standards in computing, connectivity and student capability are a condition on your enrolment.

Content

The ‘information age’ has combined with the widespread adoption of digital technology to turn information into a key business asset.  Businesses and governments now have access to massive volumes of data and require skills and expertise in making sense of this information for strategic decision making. This unit will provide students with the knowledge and skills to build predictive models and use data mining tools in real business scenarios. Students will be given the opportunity to gain hands-on experience with most widely used predictive analytics software tools globally.

Assessment

Assessment 1 (individual) - assignment - 20%, Assessment 2 (group - up to 3 students) - 40%, Examination (2 hours) - closed book - 45%

Unit Fee Information

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