Business Intelligence Systems PG (6680.5)
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) |
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. º¬Ðß²ÝÊÓƵ graduates are professional - use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems2. º¬Ðß²ÝÊÓƵ graduates are global citizens - behave ethically and sustainably in their professional and personal lives
2. º¬Ðß²ÝÊÓƵ graduates are global citizens - communicate effectively in diverse cultural and social settings
3. º¬Ðß²ÝÊÓƵ graduates are lifelong learners - adapt to complexity, ambiguity and change by being flexible and keen to engage with new ideas
3. º¬Ðß²ÝÊÓƵ graduates are lifelong learners - evaluate and adopt new technology
4. º¬Ðß²ÝÊÓƵ 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 |
2025 | Bruce, Canberra | Semester 1 | 03 February 2025 | On-campus | Ms Tharanga Samaranayaka Jayawardana |
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 º¬Ðß²ÝÊÓƵ Bookshop, School Locker)
Submission of assessment items
Extensions & Late submissions
Where possible, all assessment items will be submitted online via the teaching site in º¬Ðß²ÝÊÓƵLearn. 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 º¬Ðß²ÝÊÓƵLearn 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
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" (º¬Ðß²ÝÊÓƵ Harvard 6th edition) style. This style is described in detail (including electronic sources) in the Citation Guide available at:
Supplementary assessment
N/A
Indigenisation of the Curriculum
Some Indigenisation of the Curriculum is covered in this unit and may be included in course content and assessment items.
Students must apply academic integrity in their learning and research activities at º¬Ðß²ÝÊÓƵ. This includes submitting authentic and original work for assessments and properly acknowledging any sources used.
Academic integrity involves the ethical, honest and responsible use, creation and sharing of information. It is critical to the quality of higher education. Our academic integrity values are honesty, trust, fairness, respect, responsibility and courage.
º¬Ðß²ÝÊÓƵ students have to complete the annually to learn about academic integrity and to understand the consequences of academic integrity breaches (or academic misconduct).
º¬Ðß²ÝÊÓƵ uses various strategies and systems, including detection software, to identify potential breaches of academic integrity. Suspected breaches may be investigated, and action can be taken when misconduct is found to have occurred.
Information is provided in the Academic Integrity Policy, Academic Integrity Procedure, and º¬Ðß²ÝÊÓƵ (Student Conduct) Rules 2023. For further advice, visit Study Skills.
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.
- Semester 1, 2024, On-campus, º¬Ðß²ÝÊÓƵ - Canberra, Bruce (218726)
- Semester 1, 2023, On-campus, º¬Ðß²ÝÊÓƵ - Canberra, Bruce (212890)
- Semester 1, 2022, Flexible, º¬Ðß²ÝÊÓƵ - Canberra, Bruce (205845)
- Semester 1, 2021, Flexible, º¬Ðß²ÝÊÓƵ - Canberra, Bruce (200444)
- Semester 1, 2020, Flexible, º¬Ðß²ÝÊÓƵ - Canberra, Bruce (194352)
- Semester 1, 2019, Flexible, º¬Ðß²ÝÊÓƵ - Canberra, Bruce (185127)
- Semester 1, 2018, Flexible, º¬Ðß²ÝÊÓƵ - Canberra, Bruce (181462)