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CO5124 - Data Analysis and Decision Modelling
| Credit points: | 3 |
| Year: | 2020 |
| 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;
- Able to integrate the knowledge of Microsoft Excel and other application softwares with the knowledge of accounting and finance.
Subject Assessment
- business analytical report (20%)
- case study statistical analysis (40%)
- analytical business report (decision modelling) (40%).
| Assumed Knowledge: |
Capability with Excel or similar spreadsheet package |
| Inadmissible Subject Combinations: |
EC5203 CO5111 LB5002 |
Availabilities |
|
| External, Study Period 1 | |
| Census Date 26-Mar-2020 | |
| Coordinator: | Dr Singwhat Tee |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| JCU Singapore, Internal, Study Period 51 | |
| Census Date 09-Apr-2020 | |
| Coordinator: | Dr Singwhat Tee |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| Restrictions: |
An enrolment quota applies to this offering.
|
| JCU Singapore, Internal, Study Period 52 | |
| Census Date 06-Aug-2020 | |
| Coordinator: | Dr Singwhat Tee |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| JCU Brisbane, Internal, Study Period 21 | |
| Census Date 09-Apr-2020 | |
| Coordinator: | Dr Singwhat Tee |
| Lecturers: | Dr Paul Darwen, Ms Kathleen Arambulo. |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| JCU Brisbane, Internal, Study Period 22 | |
| Census Date 06-Aug-2020 | |
| Coordinator: | Dr Singwhat Tee |
| Lecturers: | Dr Paul Darwen, Ms Kathleen Arambulo. |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| JCU Brisbane, Internal, Study Period 23 | |
| Census Date 03-Dec-2020 | |
| Coordinator: | Dr Singwhat Tee |
| Lecturers: | Ms Kathleen Arambulo, Dr Kelvin Kuan. |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| JCU Online, External, Study Period 82 | |
| Census Date 19-Mar-2020 | |
| Coordinator: | Dr Singwhat Tee |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| Method of Delivery: | Online - JCU |
| JCU Online, External, Study Period 86 | |
| Census Date 05-Nov-2020 | |
| Coordinator: | Dr Singwhat Tee |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| Method of Delivery: | Online - JCU |
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.