Business Intelligence Systems PG (6680.5)

Availability

• UC - Canberra, Bruce

  Year	Teaching Period	Convener		Mode of Delivery
  2021	Semester 1	MS   Rosetta   ROMANO	(Ph: +61 2 62012604 )	EVENING

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Unit Outlines

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• Semester 1, 2021, EVENING, BRUCE (200444) - View
• Semester 1, 2020, EVENING, BRUCE (194352) - View
• Semester 1, 2019, EVENING, BRUCE (185127) - View
• Semester 1, 2018, EVENING, BRUCE (181462) - View
• Semester 1, 2017, EVENING, BRUCE (167062) - View
• Semester 1, 2016, EVENING, BRUCE (154758) - View
• Semester 1, 2015, ON-CAMPUS, BRUCE (145855) - View

If a link to your Unit Outline is not displayed, please check back later. Unit Outlines are generally published by Week One of the relevant teaching period.

Syllabus

In this unit, students learn how decision making in organisations can be supported by information systems such as decision support systems (DSS) and business intelligence systems (BIS) that draw their data from internal and external sources (databases, warehouses and environment scanning). Business intelligence technologies and visualisation tools comprising business analytics, data mining, text mining, neural networks, and business performance management are examined regarding their application in organisations. Each student is expected to design and construct a functional DSS/BIS prototype suitable for the information systems industry and write it up in a business report or to research a business intelligence topic and write it up in an academic essay.
This unit may be cotaught with 7156 Business Intelligence Systems

Learning Outcomes

On successful completion of this unit, students will be able to:

1. Demonstrate an understanding of how computer-based information systems such as decision support systems (DSS) and business intelligence systems (BIS) can support managerial decision making in the contemporary business world;

2. Recognise and apply the tools, technologies and models available to assist in managerial decision making according to organisational requirements and resources; and

3. Research, plan and write an academic essay of a topic drawn from relevant industry and scholarly literature.

Assessment Items

Contact Hours

Up to 39 hours per semester.

Prerequisites

Completion of 9 credit points at Graduate level.

Corequisites

None.

Assumed Knowledge

6672 Database Design G OR equivalent.

Incompatible Units

7156 Business Intelligence Systems.

Equivalent Units

None.