MIS272 - Predictive Analytics
Unit details
Year: | 2019 unit information |
---|---|
Enrolment modes: | Trimester 2: Burwood (Melbourne), Online |
Credit point(s): | 1 |
Previously coded as: | MIS372 |
EFTSL value: | 0.125 |
Trimester 2 Unit Chair: | Bahadorreza Ofoghi |
Prerequisite: | MIS171 |
Corequisite: | Nil |
Incompatible with: | MIS372, MIS772 |
Scheduled learning activities - campus: | 1 x 2 hour class and 1 x 1 hour seminar per week |
Scheduled learning activities - cloud (online): | 11 x 3 hour class (recordings provided) and 3 x 1 hour online seminar |
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) - Written report (1,500 words) 20%
Assessment 2: (Group of 2-3 students) Written report (3,000 words) 40%
Examination: (2-hours) - closed book - 40%
Hurdle requirement
Hurdle requirement: achieve at least 50% of marks available on the examination.
Unit Fee Information
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