CO5124 - Data Analysis and Decision Modelling
| Credit points: | 03 |
| Year: | 2018 |
| Student Contribution Band: | Band 2 |
| Administered by: | College of Business, Law & Governance |
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;
- Integrate the knowledge of Microsoft Excel and other applications with the knowledge of accounting and finance.
| Assumed Knowledge: | capability with Excel or similar spreadsheet package |
| Inadmissible Subject Combinations: | EC5203 CO5111 LB5002 |
Availabilities | |
| Townsville, Block, Study Period 5 | |
| Census Date 03-May-2018 | |
| Face to face teaching 27-Apr-2018 to 20-May-2018 (6-9pm 27 April, 9-5pm 28-29 April, 6-9pm 4 May, 9-5pm 5-6 May, 6-9pm 18 May, 9-5pm 19-20 May 2018) | |
| Coord/Lect: | Dr Singwhat Tee. |
| Contact hours: |
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| Assessment: | end of semester exam (55%); assignments (25%); individual or group assessment either in the form of research project, decision modelling case study, or statistical analysis case study (20%). |
| External, Study Period 1 | |
| Census Date 22-Mar-2018 | |
| Coord/Lect: | Dr Singwhat Tee. |
| Contact hours: |
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| Assessment: | end of semester exam (55%); assignments (25%); individual or group assessment either in the form of research project, decision modelling case study, or statistical analysis case study (20%). |
| JCU Singapore, Internal, Study Period 51 | |
| Census Date 05-Apr-2018 | |
| Coordinator: | Dr Singwhat Tee |
| Contact hours: |
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| Assessment: | end of semester exam (55%); assignments (25%); individual or group assessment either in the form of research project, decision modelling case study, or statistical analysis case study (20%). |
| Restrictions: |
An enrolment quota applies to this offering. |
| JCU Singapore, Internal, Study Period 52 | |
| Census Date 02-Aug-2018 | |
| Coordinator: | Dr Singwhat Tee |
| Contact hours: |
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| Assessment: | case study 1 (20%); case study 2 (40%); case study 3 (40%). |
| JCU Brisbane, Internal, Study Period 21 | |
| Census Date 05-Apr-2018 | |
| Coordinator: | Dr Singwhat Tee |
| Lecturer: | Dr Paul Darwen. |
| Contact hours: |
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| Assessment: | end of semester exam (55%); assignments (25%); individual or group assessment either in the form of research project, decision modelling case study, or statistical analysis case study (20%). |
| JCU Brisbane, Internal, Study Period 22 | |
| Census Date 02-Aug-2018 | |
| Coordinator: | Dr Singwhat Tee |
| Lecturer: | Dr Paul Darwen. |
| Contact hours: |
|
| Assessment: | case study 1 (20%); case study 2 (40%); case study 3 (40%). |
| JCU Brisbane, Internal, Study Period 23 | |
| Census Date 29-Nov-2018 | |
| Coordinator: | Dr Singwhat Tee |
| Lecturer: | Dr Paul Darwen. |
| Contact hours: |
|
| Assessment: | case study 1 (20%); case study 2 (40%); case study 3 (40%). |
| External, Study Period 86 | |
| Census Date 08-Nov-2018 | |
| Coord/Lect: | Dr Singwhat Tee. |
| Contact hours: |
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| Method of Delivery: | Online - JCU |
| Assessment: | case study 1 (20%); case study 2 (40%); case study 3 (40%). |
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.