Business Intelligence Systems PG (6680.5)
|Faculty:||Faculty of Science and Technology|
|Discipline:||Academic Program Area - Technology|
UC - Canberra, Bruce
Year Teaching Period Convener Mode of Delivery 2020 Semester 1 DR Masoud MOHAMMADIAN (Ph: +61 2 62012917 ) EVENING
Possible changes to your unit's learning activities and assessment items
For the remainder of 2020, resulting from Australian Government's directives requiring physical distancing and restrictions on movement because of the COVID-19 pandemic, any exams that are required for assessment in a unit will be online exams. Online exams may also use online proctoring to help assure the academic integrity of those exams. Please contact your unit convener with any questions.
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- 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
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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.
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.
UC - Canberra, Bruce
- Semester 1, 2020
- Semester 1, 2019
- Semester 1, 2018
Up to 39 hours per semester.
Completion of 9 credit points at Graduate level.
6672 Database Design G OR equivalent.
- 844AA Graduate Diploma in Business Informatics
- 843AA Graduate Diploma in Information Technology
- 309JA Master of Business Informatics
- 845AA Master of Business Informatics
- 284JA Master of Business Management
- ITM001 Master of Data Science
- 846AA Master of Information Technology
- 973AA Master of Information Technology and Systems
- 974AA Master of Information Technology in Mainframe Computing (Advanced)
- 900AA Master of Technology
- 862AA Professional Doctorate in Information Sciences (Research)