MIS372 - Predictive Analytics
Unit details
| Year | 2017 unit information |
|---|---|
| Enrolment modes: | Trimester 2: Burwood (Melbourne), Online |
| Credit point(s): | 1 |
| Previously coded as: | MIS272 |
| EFTSL value: | 0.125 |
| Unit chair: | M Namvar |
| Prerequisite: | MIS171 and must also pass 3 credit points at levels 2 and/or 3. |
| Corequisite: | Nil |
| Incompatible with: | Nil |
| Contact hours: | Campus: 1 x 2 hour class, 1 x 1 hour seminar per week |
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 (1500 words) - 20%
Assessment 2 (Group of 2 - 3 students) Written report (3000 words) - 40%
Examination (2 hours) - closed book - 40%
Hurdle requirement: achieve at least 50% of marks available on the examination.
Unit Fee Information
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