MIS772 - Predictive Analytics
Unit details
Year | 2018 unit information |
---|---|
Enrolment modes: | Trimester 1: Burwood (Melbourne), Online Trimester 2: Burwood (Melbourne), Online |
Credit point(s): | 1 |
EFTSL value: | 0.125 |
Unit chair: | Jacob Cybulski |
Prerequisite: | MIS770 or MIS770A* for M722,M761, M661 and M755 students ONLY |
Corequisite: | Nil |
Incompatible with: | Nil |
Contact hours: | Campus: 1 x 2 hour class, 1 x 1 hour computer lab per week |
Note:*Students who are either enrolled in or have completed MIS770A - please contact a student adviser buslaw@deakin.edu.au |
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 with ‘Big Data’. Students will be given the opportunity to gain hands-on experience with one of the most widely used predictive analytics software tools globally.
Assessment
Assessment 1: (Individual) Predictive business modelling using statistical methods (2,000 words) 20%
Assessment 2: (Group of 3) Predictive business modelling using machine learning methods (3,000 words) 30%
Examination: (2-hours) 50%
Hurdle requirement: achieve at least 50% of the marks available on the examination
Unit Fee Information
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