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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
EFTSL value:0.125
Previously coded as:SCC717
Assumed Knowledge:Knowledge appropriate to the topic.
Unit chair:

Gang Li

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

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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