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SIT717 - Enterprise Business Intelligence

Unit details

Year2016 unit information
Enrolment modes:Trimester 2: Burwood (Melbourne), Cloud (online)
Credit point(s):1
Previously coded as:SCC717
EFTSL value:0.125
Assumed Knowledge:Knowledge appropriate to the topic.
Unit chair:

Ashad Kabir

Prerequisite:

Nil

Corequisite:

Nil

Incompatible with:

Nil

Contact hours:

Campus: 1 x 1 hour class per week, 1 x 2 hour practical per week.

Cloud (online): Learning experiences are via CloudDeakin. Students will have the opportunity to participate in online consultation sessions.

Content

The unit will begin with an introduction to the standard data mining processes such as CRISP-DM, then explain the requirements of business intelligence, in the context of customer relationship management.  Methods to be taught in this unit include variants of association rule discovery (for basket analysis); prediction techniques such as inductive inference of decision trees and Bayes models (for market prediction), clustering techniques such as self-organization maps (for market segmentation), but with emphasis on real world applications.  A selection of recent real world business intelligence case studies will be incorporated in this unit to illustrate the introduced techniques.

Assessment

Projects (30%, 50%, 20%) 100%

Unit Fee Information

All Commonwealth Supported Place (CSP), fee paying undergraduate and pre-2016 commencing students

Unit fee information available soon


2016 commencing International and full fee paying postgraduate domestic students

Your units are priced based on the course you are enrolled in. Please refer to the current year's course entry to estimate the unit cost.


You can calculate the cost of each unit by using the following calculation:


Course fee x unit EFTSL value = unit price

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