Unit details
SIT717 - Enterprise Business Intelligence
| Offered at: | (B, X) |
|---|---|
| Credit point(s): | 1 |
| Offerings: | Trimester 2 |
| EFTSL value: | 0.125 |
| Previously coded as: | SCC717 |
| Assumed Knowledge: | Knowledge appropriate to the topic. |
| Unit chair: | G Li |
| Prerequisite: | Nil |
| Contact hours: | 1 x 1 hour lecture per week, 1 x 2 hour practical per week |
| Note: Online teaching methods require internet access. Please refer to the most current computer specifications. | |
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 includes 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 |
| $1076 | $1076 | $2787 | $3114 |
* 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.
