CO5124 - Data Analysis and Decision Modelling
Credit points: | 03 |
Year: | 2011 |
Student Contribution Band: | Band 4 |
Administered by: | School of Business |
Businesses typically collect large volumes of data with relative ease. However data are often meaningless until they are analysed for trends, patterns and relationships and then become useful information. This subject is designed to provide an integrated knowledge for understanding and managing information resources, building basic business intelligent system, interpreting business statistics, and developing practical decision models. It will equip students with decision-making tools and illustrate their applications. Acting on information to develop solutions and support decision-making is a key business skill.
Learning Outcomes
- Explain the importance of information as an organisational resource and to develop an appreciation for issues in managing data/information/knowledge;
- Apply graphical and numerical tools for organising, analysing, interpreting, and presenting data;
- Design, build and test computer based models for planning, decision making and control of business problems, Interpret model results, and make recommendations to stakeholders;
- Able to integrate the knowledge of Microsoft Excel and other application softwares with the knowledge of accounting and finance.
Graduate Qualities
- The ability to appraise information critically;
- The ability to use independent judgment to synthesise information to make intellectual and/or creative advances;
- The ability to think laterally and be original;
- The ability to conceptualise problems;
- The ability to conceptualise and evaluate a range of potential solutions to relevant problems;
- The ability to plan, conduct and manage research in their discipline;
- The potential to lead and contribute to projects effectively and efficiently;
- The ability to communicate the methodology, results and implications of their research in a manner appropriate to different purposes and audiences;
- The ability to make constructive contributions to project teams or collegial activities;
- The potential to resolve conflicts.
Assumed Knowledge: | capability with Excel or similar spreadsheet package |
Inadmissible Subject Combinations: | EC5203 CO5111 LB5002 |
Availabilities | |
Townsville, Block, Study Period 5 | |
Census Date 05-May-2011 | |
Non-standard start/end 15-Apr-2011 to 17-Jun-2011 | |
Face to face teaching 15-Apr-2011 to 15-May-2011 (15/4 6-9pm; 16-17/4 9-4pm; 29/4 6-9pm; 30/4 and 1/5 9-4pm; 13/5 6-9pm; 14-15/5 9-4pm) | |
Coordinator: | Dr Singwhat Tee |
Contact hours: |
|
Assessment: | end of semester exam (50% - 70%); assignments (15% - 25%); individual or group assessment either in the form of research project, decision modelling case study, or statistical analysis case study (15% - 25%). |
Special Assessment Requirements: | Students must obtain a final mark of at least 50% to pass the subject, and must obtain at least an average of 50% over all invigilated components to pass the subject. |
Cairns, Block, Study Period 1 | |
Census Date 24-Mar-2011 | |
Face to face teaching 11-Mar-2011 to 10-Apr-2011 (11/3 6-9pm; 12-13/3 9-4pm; 25/3 6-9pm; 26-27/3 9-4pm; 8/4 6-9pm; 9-10/4 9-4pm) | |
Coord/Lect: | Dr Singwhat Tee. |
Contact hours: |
|
Assessment: | end of semester exam (50% - 70%); assignments (15% - 25%); individual or group assessment either in the form of research project, decision modelling case study, or statistical analysis case study (15% - 25%). |
Special Assessment Requirements: | Students must obtain a final mark of at least 50% to pass the subject, and must obtain at least an average of 50% over all invigilated components to pass the subject. |
JCU Singapore, Internal, Study Period 52 | |
Census Date 21-Jul-2011 | |
Coordinator: | Dr Singwhat Tee |
Contact hours: |
|
Assessment: | end of semester exam (50% - 70%); assignments (15% - 25%); individual or group assessment either in the form of research project, decision modelling case study, or statistical analysis case study (15% - 25%). |
Special Assessment Requirements: | Students must obtain a final mark of at least 50% to pass the subject, and must obtain at least an average of 50% over all invigilated components to pass the subject. |
JCU Brisbane, Internal, Study Period 21 | |
Census Date 14-Apr-2011 | |
Coordinator: | Dr Singwhat Tee |
Contact hours: |
|
Assessment: | end of semester exam (50% - 70%); assignments (15% - 25%); individual or group assessment either in the form of research project, decision modelling case study, or statistical analysis case study (15% - 25%). |
Special Assessment Requirements: | Students must obtain a final mark of at least 50% to pass the subject, and must obtain at least an average of 50% over all invigilated components to pass the subject. |
JCU Brisbane, Internal, Study Period 22 | |
Census Date 11-Aug-2011 | |
Coordinator: | Dr Singwhat Tee |
Contact hours: |
|
Assessment: | end of semester exam (50% - 70%); assignments (15% - 25%); individual or group assessment either in the form of research project, decision modelling case study, or statistical analysis case study (15% - 25%). |
Special Assessment Requirements: | Students must obtain a final mark of at least 50% to pass the subject, and must obtain at least an average of 50% over all invigilated components to pass the subject. |
JCU Brisbane, Internal, Study Period 23 | |
Census Date 08-Dec-2011 | |
Coordinator: | Dr Singwhat Tee |
Contact hours: |
|
Assessment: | end of semester exam (50% - 70%); assignments (15% - 25%); individual or group assessment either in the form of research project, decision modelling case study, or statistical analysis case study (15% - 25%). |
Special Assessment Requirements: | Students must obtain a final mark of at least 50% to pass the subject, and must obtain at least an average of 50% over all invigilated components to pass the subject. |
Note: Minor variations might occur due to the continuous Subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.