Business Intelligence Systems PG (6680.5)

Please note these are the 2024 details for this unit
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Business Intelligence Systems PG
Available teaching periods Delivery mode Location
View teaching periods On-Campus
 Bruce, Canberra
EFTSL Credit points Faculty
0.125 3 Faculty Of Science And Technology
Discipline Study level HECS Bands
Academic Program Area - Technology Post Graduate Level Band 2 2021 (Commenced After 1 Jan 2021)
Band 3 2021 (Commenced Before 1 Jan 2021)
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.


Graduate attributes

1. UC graduates are professional - use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems
2. UC graduates are global citizens - behave ethically and sustainably in their professional and personal lives
2. UC graduates are global citizens - communicate effectively in diverse cultural and social settings
3. UC graduates are lifelong learners - adapt to complexity, ambiguity and change by being flexible and keen to engage with new ideas
3. UC graduates are lifelong learners - evaluate and adopt new technology
4. UC graduates are able to demonstrate Aboriginal and Torres Strait Islander ways of knowing, being and doing - communicate and engage with Indigenous Australians in ethical and culturally respectful ways


Skills development

This teaching of this unit includes some elements of Tyson Yunkaporta's 8 ways of  Aboriginal learning, and students are to note that the assessable items may contain these concepts.



Prerequisites

Completion of 9 credit points at Graduate level.

Corequisites

None.

Incompatible units

7156 Business Intelligence Systems.

Equivalent units

None.

Assumed knowledge

6672 Database Design G OR equivalent.
Year Location Teaching period Teaching start date Delivery mode Unit convener
2024 Bruce, Canberra Semester 1 05 February 2024 On-Campus Dr Rosetta Romano
The information provided should be used as a guide only. Timetables may not be finalised until week 2 of the teaching period and are subject to change. Search for the unit timetable.

Required texts

Prescribed text

Sharda, R., Delen, D. and Turban, E. (2018). "Business Intelligence: A Managerial Approach, Global Edition.  4th Edition. Pearson. ISBN: 9780134633282, 0134633288 and eText ISBN: 9780134635248, 0134635248 

(Copies are available from the University of Canberra Bookshop, School Locker)

Submission of assessment items

Extensions & Late submissions

Where possible, all assessment items will be submitted online via the teaching site in UCLearn. The first page of each assessment item should include the following information:

  • Student ID number:
  • Assessment Name:
  • Word Count (if applicable):

 

Students' names are not to be included in any assessment tasks/submissions. Only Student ID numbers should be included (as per the Assessment Policy and Assessment Procedures).

Assessment items must be submitted to the assignment area in the UCLearn teaching site, relating to that piece of assessment. It is the student's responsibility to upload the correct and corresponding draft or assessment item, to the right submission section.

Late submissions will only be accepted for a limited period. If more than one late submission is made within that period, only the first late submission will be accepted for marking and may be subject to penalties as detailed in the Assessment Procedures.

Special assessment requirements

Information on extensions and special considerations for assessments can be found in the Student Guide to Policies.

To pass this unit, you must achieve at least 50% as a combined total of the available marks for the quizzes, assignments; and tutorial participation.

Once this condition has been satisfied, grades will be awarded as per the following 

Grade Letter

Grade Weighted

Marks

High Distinction

HD

85% - 100%

Distinction

DI

75% - 84%

Credit

CR

65% - 74%

Pass

P

50% - 64%

Fail

NX

0% - 49%

If there is any doubt with regard to the requirements of any particular assignments or assessment procedure, the onus for clarifying the issue rests with the student who should contact the lecturer about the matter. Tutors will also be happy to assist in this regard.

1. Students should keep a copy of all assessment items that are submitted.

2. The lecturer reserves the right to question students orally on their submitted work

3. The assessment criterion for answers to theoretical and technical questions is both correctness and appropriate style.

4. The tutors will provide feedback to the students on their assignments. Students are encouraged to seek individual feedback from the tutor/lecturer.

Referencing requirements:

All work quoted from other written sources should be appropriately referenced using the "author-date" (University of Canberra Harvard 6th edition) style. This style is described in detail (including electronic sources) in the Citation Guide available at:

http://canberra.libguides.com/referencing

Supplementary assessment

N/A

Academic integrity

Students have a responsibility to uphold University standards on ethical scholarship. Good scholarship involves building on the work of others and use of others' work must be acknowledged with proper attribution made. Cheating, plagiarism, and falsification of data are dishonest practices that contravene academic values. Refer to the University's Student Charter for more information.

To enhance understanding of academic integrity, all students are expected to complete the Academic Integrity Module (AIM) at least once during their course of study. You can access this module within UCLearn (Canvas) through the 'Academic Integrity and Avoiding Plagiarism' link in the Study Help site.

Use of Text-Matching Software

The University of Canberra uses text-matching software to help students and staff reduce plagiarism and improve understanding of academic integrity. The software matches submitted text in student assignments against material from various sources: the internet, published books and journals, and previously submitted student texts.

Indigenisation of the Curriculum

Some Indigenisation of the Curriculum is covered in this unit and may be included in course content and assessment items.

Learner engagement

An estimate of the required student workload for this subject is given below:

Study load Hours per week Semester total
Tutorial participation 1 10
Tutorial exercises - 24
Reading  3 30
4 Lecture content quizzes - 6
Group assignment - 30
Individual assignment - 30
Lectures 2 20

 Total 150 hours

Participation requirements

Attendance at classes is required as tutorial participation attracts up to 2 marks per tutorial  Students should also be aware that the subject will be examined on material covered in classes, including lectures, tutorials, and assignment materials, and it is the individual student's responsibility to ensure that they are sufficiently familiar with this material. Attendance at classes is one of the best ways of ensuring this familiarity. While the lecture notes and course materials are available on the subject website, these are intended to be broad outlines of the lectures. Do not make the mistake of assuming that the materials perfectly substitute for class attendance. Note: there is a group presentation part of the group assignment to be recorded and submitted online Sunday, Week 8, Semester 1, 2024, by 23:59 hours.  All students in a group will need to record themselves speaking 'live' to gain marks for this presentation, i.e. voice-overs only are not acceptable.

Required IT skills

This unit is suitable for students with both minimal and more advanced information systems backgrounds since students are introduced to the fundamentals of computerised decision support and business intelligence and to the techniques and models which enhance decision making in an organisational environment.

In-unit costs

There are no additional costs associated with this unit apart from materials you choose to use in the preparation of assessment items and text book.

Work placement, internships or practicums

None.

Additional information

Announcements made on this subject in the class and on the Canvas website are deemed to be made to all students enrolled in the unit.

Students are to contact the lecturer by email at Rosetta.Romano@canberra.edu.au for any concerns about the unit.

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