Business Intelligence Systems PG (6680.5)
|Available teaching periods||Delivery mode||Location|
|View teaching periods|| Flexible
|| UC - Canberra, Bruce
|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)
Learning outcomesOn 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 attributes1. 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
PrerequisitesCompletion of 9 credit points at Graduate level.
Incompatible units7156 Business Intelligence Systems.
Assumed knowledge6672 Database Design G OR equivalent.
|Year||Location||Teaching period||Teaching start date||Delivery mode||Unit convener|
|2022||UC - Canberra, Bruce||Semester 1||07 February 2022||Flexible||Dr Rosetta Romano|
Sharda, R., Delen, D. and Turban, E. (2014). "Business Intelligence and Analytics: Systems for Decision Support". 11th Edition. Pearson. ISBN- 10: 0133050904
(Copies are available from the University of Canberra Bookshop, School Locker)
Sharda, R., Delen, D. and Turban, E. (2014). "Business Intelligence: A Managerial Perspective on Analytics". 4th Edition, Pearson.
Turban, E., Sharda, R. and Delen, D. (2011). "Decision Support and Business Intelligence Systems". 10th Edition, Prentice-Hall, Upper Saddle River, New Jersey.
Sabherwal, R. and Becerra-Fernandez. (2011). "Business intelligence: Practices, Technologies, and Management". John Wiley & Sons, Hoboken, New Jersey.
Sauter, V. (2010). "Decision Support Systems for Business Intelligence". 2nd Edition, Wiley & Sons, New Jersey.
Submission of assessment items
Special assessment requirements
Information on extensions and special consideration for assessments can be found in the Student Guide to Policies.
Year-Long Units: Students enrolled in year-long units (consisting of a part A and part B unit code) will be allocated a continuing grade (CNTYL) on completion of part A. Once the student has completed part B, the grade for part A will be updated so that the grades for the two unit codes are the same.
To pass this unit, you will need to satisfy the following conditions:
a. You must achieve at least 50% as a combined total of the available marks for the quizzes and the assignment; and
b. You must achieve at least 50% of the available marks in the Take-home assignment.
Once these conditions have been satisfied, grades will be awarded as per the following
85% - 100%
75% - 84%
65% - 74%
50% - 64%
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.
All work quoted from other written sources should be appropriately referenced using the "author-date" (Harvard) style. This style is described in detail (including electronic sources) in the Citation Guide available at:
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.
An estimate of the required student workload for this subject is given below:
Lectures 12 weeks (2 hours per week) 24 hours
Tutorials/Laboratories 12 weeks (1 hour per week) 12 hours
Preparation (Lectures/tutorials/labs) 12 weeks (2 hours per week) 36 hours
Online Quizzes (reading, preparation and quiz) 4 quizzes (3 hours per quiz) 12 hours
Group Assignment 31 hours
Self Study/Practice and exam 35 hours
Total 150 hours
6b Inclusion and Engagement
Attendance at classes is not compulsory but you are strongly advised to attend all classes. Students should also be aware that the subject will be examined on material covered in classes, including lectures, tutorials and laboratories as well as 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 12 Semester 1 2021 by 23:00 hours. Students need to record themselves speaking 'live' to gain marks for this presentation, i.e. voice-overs only is 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 tools, techniques and models which enhance decision making in an organisational environment.
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
Announcements made in the class and canvas website of this subject are deemed to be made to all students enrolled in the unit.