COIS13013 - Business Intelligence
Term 1 - 2017


All details in this unit profile for COIS13013 have been officially approved by CQUniversity and represent a learning partnership between the University and you (our student). The information will not be changed unless absolutely necessary and any change will be clearly indicated by an approved correction included in the profile.

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

Career Level Undergraduate
Unit Level Level 3
Credit Points 6
Student Contribution Band 2
Fraction of Full-Time Student Load 0.125

Pre-requisites or Co-requisites

Pre-requisite: COIT11226

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).

Offerings

Term 1 - 2017
  • Brisbane
  • Distance
  • Melbourne
  • Rockhampton
  • Sydney

Website

This unit has a website, within the Moodle system, which is available two weeks before the start of term. It is important that you visit your Moodle site throughout the term. Go to Moodle

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 Task Weighting
1. Written Assessment 40%
2. Presentation and Written Assessment 60%

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 Procedures for more details of interim results and final grades.

All University policies are available on the IMPortal.

You may wish to view these policies:

  • Grades and Results Procedure
  • Assessment Policy and Procedure (Higher Education Coursework)
  • Review of Grade Procedure
  • Academic Misconduct Procedure
  • Monitoring Academic Progress (MAP) Policy and Procedure – Domestic Students
  • Monitoring Academic Progress (MAP) Policy and Procedure – International Students
  • Refund and Excess Payments (Credit Balances) Policy and Procedure
  • Student Feedback – Compliments and Complaints Policy and Procedure
  • Acceptable Use of Information and Communications Technology Facilities and Devices Policy and Procedure

This list is not an exhaustive list of all University policies. The full list of University policies are available on the IMPortal.

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 Source Recommendation
Tutorial needs to be longer as it is hard to do presentations, then be able to do tutorial work and software tools. Course/Teaching Evaluation. The presentation assessment structure and requirements will be changed so that it does not cause any disruption to the tutorial class.
There should be quiz type assessments each week throughout the course. Course/Teaching Evaluation. A quiz type assessment will be introduced as part of assessment 2.
On successful completion of this unit, you will be able to:
  1. 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
  2. describe basic concepts of MSS modelling and apply the process of model formulation and solution
  3. analyse the information needs of decision makers and apply the results to business performance reporting
  4. evaluate the role of Business Intelligence and Decision Support Systems tools in organisations at the enterprise level
  5. describe role of knowledge in organisations and evaluate the use of collaborative technology to create, gather, and share knowledge
  6. 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
2 - Presentation and Written Assessment

Alignment of Graduate Attributes to Learning Outcomes

  • Introductory Level
  • Intermediate Level
  • Graduate Level
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        

Alignment of Assessment Tasks to Graduate Attributes

  • Introductory Level
  • Intermediate Level
  • Graduate Level
Assessment Tasks Graduate Attributes
1 2 3 4 5 6 7 8
1 - Written Assessment  
2 - Presentation and Written Assessment  

Prescribed Textbooks

Business Intelligence and Analytics: Systems for Decision Support
Author/s: Sharda, R., Delen, D., & Turban, E. Year: 2015
Edition: 10th edn Global Publisher: Pearson Education
City: Upper Saddle River State: NJ
Country: USA
View textbooks at the CQUniversity Bookshop
Note:

IT Resources

You will need access to the following 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 Harvard (author-date) referencing style (details can be obtained here). For further information, see the Assessment Tasks below.
Unit CoordinatorSantoso Wibowo (s.wibowo1@cqu.edu.au)
Note: Check the Term-Specific section for any additional contact information provided by the teaching team
Week Begin Date Module/Topic Chapter Events and Submissions
Week 1 06-03-2017

An Overview of Business Intelligence, Analytics, and Decision Support

Chapter 1 of Set Text.

Week 2 13-03-2017

Foundations and Technologies for Decision Making

Chapter 2 of Set Text. Visual DSS tutorial & online manual.

Week 3 20-03-2017

Data Warehousing

Chapter 3 of Set Text.

Week 4 27-03-2017

Business Reporting, Visual Analytics, and Business Performance Management

Chapter 4 of Set Text.

Week 5 03-04-2017

Data Mining for BI

Chapter 5 of Set Text.

Vacation Week 10-04-2017
Week 6 17-04-2017

Text Analytics and Text Mining

Chapter 7 of Set Text.

Assignment 1 - Application of a DSS Tool Due Friday (21 Apr 17) 11:00 PM AEST
Week 7 24-04-2017

Web Analytics and Web Mining

Chapter 8 of Set Text.

Week 8 01-05-2017

Modelling and Analysis

Chapter 10 of Set Text.

Week 9 08-05-2017

Automated Decision Systems and Expert Systems

Chapter 11 of Set Text.

Week 10 15-05-2017

Knowledge Management and Collaborative Systems

Chapter 12 of Set Text.

Week 11 22-05-2017

Big Data and Analytics

Chapter 13 of Set Text.

Week 12 29-05-2017

Business Analytics: Emerging Trends and Future Impacts

Chapter 14 of Set Text.

Assignment 2 - Business Intelligence and Analytics Due Friday (02 Jun 17) 11:00 PM AEST
Review/Exam Week 05-06-2017
Exam Week 12-06-2017

1 Written Assessment

Assessment Title Assignment 1 - Application of a DSS Tool
Task Description

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.

Assessment Due Date Week 6 Friday (21-Apr-2017) 11:00 PM AEST
Return Date to Students Week 8 Friday (05-May-2017)
Weighting 40%
Assessment Criteria

Your assessment will be marked according to the following criteria.

Discussion on the importance of business intelligence 10 marks
Appropriate use of Visual DSS for generating models and deriving business solutions
20 marks
Discussion on information gathering and analysis 10 marks
Referencing Style Harvard (author-date)
Submission Online

See assignment specification document on the course website.

Learning Outcomes Assessed
This section can be expanded to view the assessed learning outcomes

1. 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

2. describe basic concepts of MSS modelling and apply the process of model formulation and solution

3. analyse the information needs of decision makers and apply the results to business performance reporting

4. evaluate the role of Business Intelligence and Decision Support Systems tools in organisations at the enterprise level

5. describe role of knowledge in organisations and evaluate the use of collaborative technology to create, gather, and share knowledge

6. conduct research into new areas and products, relate them to development of MSS, and present your results to others.

Graduate Attributes
This section can be expanded to view the assessed graduate attributes

1. Communication

2. Problem Solving

3. Critical Thinking

4. Information Literacy

5. Team Work

6. Information Technology Competence

8. Ethical practice



2 Presentation and Written Assessment

Assessment Title Assignment 2 - Business Intelligence and Analytics
Task Description

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.

Assessment Due Date Week 12 Friday (02-Jun-2017) 11:00 PM AEST
Return Date to Students Certificate date (required for courses without exams)
Weighting 60%
Assessment Criteria

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
Referencing Style Harvard (author-date)
Submission Online

Please check assignment 2 details on the Moodle course website.

Learning Outcomes Assessed
This section can be expanded to view the assessed learning outcomes

1. 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

2. describe basic concepts of MSS modelling and apply the process of model formulation and solution

3. analyse the information needs of decision makers and apply the results to business performance reporting

4. evaluate the role of Business Intelligence and Decision Support Systems tools in organisations at the enterprise level

5. describe role of knowledge in organisations and evaluate the use of collaborative technology to create, gather, and share knowledge

6. conduct research into new areas and products, relate them to development of MSS, and present your results to others.

Graduate Attributes
This section can be expanded to view the assessed graduate attributes

1. Communication

2. Problem Solving

3. Critical Thinking

4. Information Literacy

5. Team Work

6. Information Technology Competence

8. Ethical practice




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