MIS772 - Predictive Analytics
|Year||2014 unit information|
|Enrolment modes:||Trimester 1: Burwood (Melbourne), Cloud (online)|
Trimester 2: Burwood (Melbourne), Cloud (online)
|Unit chair:||J Cybulski|
1 x 2 hour class, 1 x 1 hour computer lab per week
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.
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 the most widely used predictive analytics software tools globally.
Assignment 1 (module 1) 33.3%, assignment 2 (module 2) 33.3%, assignment 3 (module 3) 33.3%
Unit Fee Information
|Student Contribution Rate*||Student Contribution Rate**||Fee rate - Domestic Students||Fee rate - International students|
* Rate for all CSP students, except for those who commenced Education and Nursing units pre 2010
** Rate for CSP students who commenced Education and Nursing units pre 2010
Please note: Unit fees listed do not apply to Deakin Prime students.