2020 unit information
Classes and seminars in Trimester 2, 2020 will be online.
Last updated: 2 June 2020
Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit.
1 x 2 hour class, 1 x 1 hour seminar per week
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.
These are the Learning Outcomes (ULOs) for the Unit At the completion of this Unit, successful students can:
Deakin Graduate Learning Outcomes
Understand and apply key statistical theories and data mining concepts.
GLO1: Discipline-specific knowledge and capabilities GLO4: Critical thinking
Understand and apply predictive analytics techniques in real-world situations.
GLO1: Discipline-specific knowledge and capabilities GLO4: Critical thinking GLO5: Problem solving
Apply an integrated understanding of current techniques and trends in predictive analytics to the business environment.
These Unit Learning Outcomes are applicable for all teaching periods throughout the year
The assessment due weeks provided may change. The Unit Chair will clarify the exact assessment requirements, including the due date, at the start of the teaching period.
Hurdle requirement: achieve at least 50% of marks available on the examination.
The texts and reading list for the unit can be found on the University Library via the link below: MIS272 Note: Select the relevant trimester reading list. Please note that a future teaching period's reading list may not be available until a month prior to the start of that teaching period so you may wish to use the relevant trimester's prior year reading list as a guide only.
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