Overview
The unit reviews how managers use computerised decision support systems for accessing important information, the principles of decision making, modelling and how Business Intelligence tools are used by enterprises to support decision making. The unit develops an understanding of what is unique about Information Systems that provide support for decision makers and how various information systems (DSS, Knowledge Based Systems, Group Support Systems, Business Intelligence) are integrated at the enterprise level to support decision making. Students complete practical work using a financial modelling language, analyse the information needs of decision makers, evaluate and develop tools in the implementation of what we call, all these technologies and systems collectively, Management Support Systems (MSS).
Details
Pre-requisites or Co-requisites
Pre-requisite: COIT11226
Important note: Students enrolled in a subsequent unit who failed their pre-requisite unit, should drop the subsequent unit before the census date or within 10 working days of Fail grade notification. Students who do not drop the unit in this timeframe cannot later drop the unit without academic and financial liability. See details in the Assessment Policy and Procedure (Higher Education Coursework).
Offerings For Term 1 - 2017
Attendance Requirements
All on-campus students are expected to attend scheduled classes – in some units, these classes are identified as a mandatory (pass/fail) component and attendance is compulsory. International students, on a student visa, must maintain a full time study load and meet both attendance and academic progress requirements in each study period (satisfactory attendance for International students is defined as maintaining at least an 80% attendance record).
Recommended Student Time Commitment
Each 6-credit Undergraduate unit at CQUniversity requires an overall time commitment of an average of 12.5 hours of study per week, making a total of 150 hours for the unit.
Class Timetable
Assessment Overview
Assessment Grading
This is a graded unit: your overall grade will be calculated from the marks or grades for each assessment task, based on the relative weightings shown in the table above. You must obtain an overall mark for the unit of at least 50%, or an overall grade of ‘pass’ in order to pass the unit. If any ‘pass/fail’ tasks are shown in the table above they must also be completed successfully (‘pass’ grade). You must also meet any minimum mark requirements specified for a particular assessment task, as detailed in the ‘assessment task’ section (note that in some instances, the minimum mark for a task may be greater than 50%). Consult the University’s Grades and Results Policy for more details of interim results and final grades.
All University policies are available on the CQUniversity Policy site.
You may wish to view these policies:
- Grades and Results Policy
- Assessment Policy and Procedure (Higher Education Coursework)
- Review of Grade Procedure
- Student Academic Integrity Policy and Procedure
- Monitoring Academic Progress (MAP) Policy and Procedure – Domestic Students
- Monitoring Academic Progress (MAP) Policy and Procedure – International Students
- Student Refund and Credit Balance Policy and Procedure
- Student Feedback – Compliments and Complaints Policy and Procedure
- Information and Communications Technology Acceptable Use Policy and Procedure
This list is not an exhaustive list of all University policies. The full list of University policies are available on the CQUniversity Policy site.
Feedback, Recommendations and Responses
Every unit is reviewed for enhancement each year. At the most recent review, the following staff and student feedback items were identified and recommendations were made.
Feedback from Course/Teaching Evaluation.
Tutorial needs to be longer as it is hard to do presentations, then be able to do tutorial work and software tools.
The presentation assessment structure and requirements will be changed so that it does not cause any disruption to the tutorial class.
The presentation assessment structure and requirements has been changed.
Feedback from Course/Teaching Evaluation.
There should be quiz type assessments each week throughout the course.
A quiz type assessment will be introduced as part of assessment 2.
An online quiz has been introduced as part of assessment 2.
- describe the principles of decision theory and apply the theory to interpret the needs of decision makers, and apply the results in the implementation of MSS
- describe basic concepts of MSS modelling and apply the process of model formulation and solution
- analyse the information needs of decision makers and apply the results to business performance reporting
- evaluate the role of Business Intelligence and Decision Support Systems tools in organisations at the enterprise level
- describe role of knowledge in organisations and evaluate the use of collaborative technology to create, gather, and share knowledge
- conduct research into new areas and products, relate them to development of MSS, and present your results to others.
Australian Computer Society (ACS) recognises the Skills Framework for the Information Age (SFIA). SFIA is in use in over 100 countries and provides a widely used and consistent definition of ICT skills. SFIA is increasingly being used when developing job descriptions and role profiles.
ACS members can use the tool MySFIA to build a skills profile at https://www.acs.org.au/professionalrecognition/mysfia-b2c.html
This unit contributes to the following workplace skills as defined by SFIA. The SFIA code is included:
- Information Analysis (INAN)
- Data Analysis (DTAN)
- Research (RSCH)
Alignment of Assessment Tasks to Learning Outcomes
Assessment Tasks | Learning Outcomes | |||||
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | |
1 - Written Assessment - 40% | ||||||
2 - Presentation and Written Assessment - 60% |
Alignment of Graduate Attributes to Learning Outcomes
Graduate Attributes | Learning Outcomes | |||||
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | |
1 - Communication | ||||||
2 - Problem Solving | ||||||
3 - Critical Thinking | ||||||
4 - Information Literacy | ||||||
5 - Team Work | ||||||
6 - Information Technology Competence | ||||||
7 - Cross Cultural Competence | ||||||
8 - Ethical practice | ||||||
9 - Social Innovation | ||||||
10 - Aboriginal and Torres Strait Islander Cultures |
Alignment of Assessment Tasks to Graduate Attributes
Assessment Tasks | Graduate Attributes | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | |
1 - Written Assessment - 40% | ||||||||||
2 - Presentation and Written Assessment - 60% |
Textbooks
Business Intelligence and Analytics: Systems for Decision Support
Edition: 10th edn Global (2015)
Authors: Sharda, R., Delen, D., & Turban, E.
Pearson Education
Upper Saddle River Upper Saddle River , NJ , USA
ISBN: 9781292009209
Binding: Paperback
Additional Textbook Information
IT Resources
- CQUniversity Student Email
- Internet
- Unit Website (Moodle)
- Trueblue Visual DSS (course provided)
- WEKA (free downloadable)
All submissions for this unit must use the referencing style: Harvard (author-date)
For further information, see the Assessment Tasks.
s.wibowo1@cqu.edu.au
Module/Topic
An Overview of Business Intelligence, Analytics, and Decision Support
Chapter
Chapter 1 of Set Text.
Events and Submissions/Topic
Module/Topic
Foundations and Technologies for Decision Making
Chapter
Chapter 2 of Set Text. Visual DSS tutorial & online manual.
Events and Submissions/Topic
Module/Topic
Data Warehousing
Chapter
Chapter 3 of Set Text.
Events and Submissions/Topic
Module/Topic
Business Reporting, Visual Analytics, and Business Performance Management
Chapter
Chapter 4 of Set Text.
Events and Submissions/Topic
Module/Topic
Data Mining for BI
Chapter
Chapter 5 of Set Text.
Events and Submissions/Topic
Module/Topic
Chapter
Events and Submissions/Topic
Module/Topic
Text Analytics and Text Mining
Chapter
Chapter 7 of Set Text.
Events and Submissions/Topic
Module/Topic
Web Analytics and Web Mining
Chapter
Chapter 8 of Set Text.
Events and Submissions/Topic
Module/Topic
Modelling and Analysis
Chapter
Chapter 10 of Set Text.
Events and Submissions/Topic
Module/Topic
Automated Decision Systems and Expert Systems
Chapter
Chapter 11 of Set Text.
Events and Submissions/Topic
Module/Topic
Knowledge Management and Collaborative Systems
Chapter
Chapter 12 of Set Text.
Events and Submissions/Topic
Module/Topic
Big Data and Analytics
Chapter
Chapter 13 of Set Text.
Events and Submissions/Topic
Module/Topic
Business Analytics: Emerging Trends and Future Impacts
Chapter
Chapter 14 of Set Text.
Events and Submissions/Topic
Module/Topic
Chapter
Events and Submissions/Topic
Module/Topic
Chapter
Events and Submissions/Topic
1 Written Assessment
There are three questions in the assignment 1:
- The first question is related to a BI concept. Students are required to explain and describe the concept.
- The second question is related to investment decision making for business. Students need to use the Visual DSS tool to generate models and to derive the solutions for business decision making. Students also need to conduct risk analysis for change to this question.
- The third question is related to information obtaining and analysing. Students need to answer questions from a given case study.
Further details are available on the Moodle course website.
Week 6 Friday (21 Apr 2017) 11:00 pm AEST
Week 8 Friday (5 May 2017)
Your assessment will be marked according to the following criteria.
|
- describe the principles of decision theory and apply the theory to interpret the needs of decision makers, and apply the results in the implementation of MSS
- describe basic concepts of MSS modelling and apply the process of model formulation and solution
- analyse the information needs of decision makers and apply the results to business performance reporting
- evaluate the role of Business Intelligence and Decision Support Systems tools in organisations at the enterprise level
- describe role of knowledge in organisations and evaluate the use of collaborative technology to create, gather, and share knowledge
- conduct research into new areas and products, relate them to development of MSS, and present your results to others.
- Communication
- Problem Solving
- Critical Thinking
- Information Literacy
- Team Work
- Information Technology Competence
- Ethical practice
2 Presentation and Written Assessment
Assignment 2 is divided into two parts: (a) a written assignment with four questions plus an oral presentation worth 45%, and (b) an online quiz worth 15%.
The theoretical questions cover topics in business intelligence and analytics areas. Students are also required to use a data mining tool to classify, analyse and report data. Internal students need to deliver an oral presentation to the class. External/distance students will be provided details regarding the oral presentation via email.
The online quiz consists of 30 True/False/Multiple-Choice questions. You will be given one attempt to complete the quiz. There will be a time limit of 30 minutes to complete the quiz. The quiz opens on Monday, 29 May 2017, 9 AM and closes on Friday, 2 June 2017, 11 PM.
Further details about assignment 2 can be found on the course website.
Week 12 Friday (2 June 2017) 11:00 pm AEST
Certificate date (required for courses without exams)
Your assignment 2 will be marked according to the following criteria.
Discussion on the importance of business intelligence | 10 marks |
Appropriate use of WEKA for data analysis | 15 marks |
Discussion on information gathering and analysis | 10 marks |
Oral presentation | 10 marks |
Online quiz | 15 marks |
- describe the principles of decision theory and apply the theory to interpret the needs of decision makers, and apply the results in the implementation of MSS
- describe basic concepts of MSS modelling and apply the process of model formulation and solution
- analyse the information needs of decision makers and apply the results to business performance reporting
- evaluate the role of Business Intelligence and Decision Support Systems tools in organisations at the enterprise level
- describe role of knowledge in organisations and evaluate the use of collaborative technology to create, gather, and share knowledge
- conduct research into new areas and products, relate them to development of MSS, and present your results to others.
- Communication
- Problem Solving
- Critical Thinking
- Information Literacy
- Team Work
- Information Technology Competence
- Ethical practice
As a CQUniversity student you are expected to act honestly in all aspects of your academic work.
Any assessable work undertaken or submitted for review or assessment must be your own work. Assessable work is any type of work you do to meet the assessment requirements in the unit, including draft work submitted for review and feedback and final work to be assessed.
When you use the ideas, words or data of others in your assessment, you must thoroughly and clearly acknowledge the source of this information by using the correct referencing style for your unit. Using others’ work without proper acknowledgement may be considered a form of intellectual dishonesty.
Participating honestly, respectfully, responsibly, and fairly in your university study ensures the CQUniversity qualification you earn will be valued as a true indication of your individual academic achievement and will continue to receive the respect and recognition it deserves.
As a student, you are responsible for reading and following CQUniversity’s policies, including the Student Academic Integrity Policy and Procedure. This policy sets out CQUniversity’s expectations of you to act with integrity, examples of academic integrity breaches to avoid, the processes used to address alleged breaches of academic integrity, and potential penalties.
What is a breach of academic integrity?
A breach of academic integrity includes but is not limited to plagiarism, self-plagiarism, collusion, cheating, contract cheating, and academic misconduct. The Student Academic Integrity Policy and Procedure defines what these terms mean and gives examples.
Why is academic integrity important?
A breach of academic integrity may result in one or more penalties, including suspension or even expulsion from the University. It can also have negative implications for student visas and future enrolment at CQUniversity or elsewhere. Students who engage in contract cheating also risk being blackmailed by contract cheating services.
Where can I get assistance?
For academic advice and guidance, the Academic Learning Centre (ALC) can support you in becoming confident in completing assessments with integrity and of high standard.