Units / FIT5094
FIT5094 · Evolutionary decision support
2026 Handbook6 credit pointsLevel 5Faculty of Information Technology
Last checked: 23 Aug 2026 UTCOverview
This unit provides you with an understanding of the development and use of information systems that support decision makers, especially managers. You will learn of the nature of decision-making and decision theories and how these affect the development of decision support systems in an evolutionary manner. A number of commonly used decision support methods and techniques will be explored. You will be introduced to personal decision support systems, data warehousing, and business intelligence/analytics.
Areas of study: Business information systems IT for business
Offerings
| Campus | Teaching period | Mode |
|---|---|---|
| Clayton | First semester | Flexible (FLEXIBLE) |
| Malaysia | First semester | Evening (EVENING) |
Assessment
The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.
| # | Assessment | Type | Weight | Hurdle |
|---|---|---|---|---|
| 1 | Assignment 1: Strategic decision analysis | Project | 25% | — |
| 2 | Assignment 2: Personal decision support | Project | 40% | — |
| 3 | Assignment 3: Weekly reflection | Written | 30% | — |
| 4 | Assignment 4: Continual tutorial assessment | Exercise | 5% | — |
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Requisites
Learning outcomes
- Examine and describe the concepts, scope and application of information systems applied to decision support;
- Explain the nature of human decision-making;
- Conduct decision analysis by applying contemporary decision theories and modelling techniques;
- Develop decision support systems for decision makers;
- Evaluate major approaches of IT-based decision support;
- Select the appropriate decision support approach for a particular project;
- Perform system analysis for decision support projects.
Workload
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled online and face to face learning activities and independent study. Independent study may include associated reading and preparation for scheduled teaching activities.
| Activity | Duration |
|---|---|
| Applied sessions | 22 hours |
| Seminars | 24 hours |
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