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FIT5094 · Evolutionary decision support

Official Handbook

2026 Handbook6 credit pointsLevel 5Faculty of Information Technology

Last checked: 23 Aug 2026 UTC

Overview

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

CampusTeaching periodMode
ClaytonFirst semesterFlexible (FLEXIBLE)
MalaysiaFirst semesterEvening (EVENING)

Assessment

The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.

#AssessmentTypeWeightHurdle
1Assignment 1: Strategic decision analysisProject25%
2Assignment 2: Personal decision supportProject40%
3Assignment 3: Weekly reflectionWritten30%
4Assignment 4: Continual tutorial assessmentExercise5%

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

prerequisite

  • FIT9138 — Information systems analysis, design and systems thinking
  • FIT9130 — Systems analysis and design

Joined by OR.

Learning outcomes

  1. Examine and describe the concepts, scope and application of information systems applied to decision support;
  2. Explain the nature of human decision-making;
  3. Conduct decision analysis by applying contemporary decision theories and modelling techniques;
  4. Develop decision support systems for decision makers;
  5. Evaluate major approaches of IT-based decision support;
  6. Select the appropriate decision support approach for a particular project;
  7. 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.

ActivityDuration
Applied sessions22 hours
Seminars24 hours

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