MIS772 - Predictive Analytics

Unit details

Note: You are seeing the 2018 view of this unit information. These details may no longer be current. [Go to the current version]
Year2018 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
Cloud(online): 11 x 2 hour class (livestreamed with recordings provided) + 1 hour online seminar/workshop

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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