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Unit details

SIT717 - Enterprise Business Intelligence

Year2015 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:

Gang Li

Prerequisite:

Nil

Corequisite:

Nil

Incompatible with:

Nil

Contact hours:

1 x 1 hour class per week, 1 x 2 hour practical per week

Note:

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.

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

Student Contribution Rate*Student Contribution Rate**Fee rate - Domestic Students Fee rate - International students
$1096$1096$2871$3208

* 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.

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