CO5124 - Data Analysis and Decision Modelling
| Credit points: | 03 |
| Year: | 2019 |
| Student Contribution Band: | Band 2 |
| Administered by: |
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.
| Assumed Knowledge: | Capability with Excel or similar spreadsheet package |
| Inadmissible Subject Combinations: | EC5203 CO5111 LB5002 |
Availabilities | |
| Townsville, , Study Period 5 | |
| Census Date 09-May-2019 | |
| Face to face teaching 04-May-2019 to 26-May-2019 (9-5pm Friday & Saturday 4-5 May; 9-5pm May 11-12; 9-5pm May 25; 9am-2pm Sunday 26 May 2019) | |
| Contact hours: |
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| Assessment: | business analytical report (20%); case study statistical analysis (40%); analytical business report (decision modelling) (40%). |
| , Study Period 1 | |
| Census Date 28-Mar-2019 | |
| Contact hours: |
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| Assessment: | business analytical report (20%); case study statistical analysis (40%); analytical business report (decision modelling) (40%). |
| JCU Singapore, , Study Period 51 | |
| Census Date 11-Apr-2019 | |
| Contact hours: |
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| Assessment: | business analytical report (20%); case study statistical analysis (40%); analytical business report (decision modelling) (40%). |
| Restrictions: |
An enrolment quota applies to this offering. |
| JCU Singapore, , Study Period 52 | |
| Census Date 08-Aug-2019 | |
| Contact hours: |
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| Assessment: | business analytical report (20%); case study statistical analysis (40%); analytical business report (decision modelling) (40%). |
| JCU Brisbane, , Study Period 21 | |
| Census Date 11-Apr-2019 | |
| Contact hours: |
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| Assessment: | business analytical report (20%); case study statistical analysis (40%); analytical business report (decision modelling) (40%). |
| JCU Brisbane, , Study Period 22 | |
| Census Date 08-Aug-2019 | |
| Contact hours: |
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| Assessment: | business analytical report (20%); case study statistical analysis (40%); analytical business report (decision modelling) (40%). |
| JCU Brisbane, , Study Period 23 | |
| Census Date 05-Dec-2019 | |
| Contact hours: |
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| Assessment: | business analytical report (20%); case study statistical analysis (40%); analytical business report (decision modelling) (40%). |
| , Study Period 84 | |
| Census Date 18-Jul-2019 | |
| Contact hours: |
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| Method of Delivery: | Online - JCU |
| Assessment: | business analytical report (20%); case study statistical analysis (40%); analytical business report (decision modelling) (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.