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COMP503 Decision Support Systems

Updated: 29 January 2013
Credit Points 6
Offering
Responsible Campus Teaching Period Mode of Study
Armidale Trimester 2 Off Campus
Armidale Trimester 2 On Campus
Intensive School(s) None
Supervised Exam There is a UNE Supervised Examination held at the end of the teaching period in which you are enrolled.
Pre-requisites candidature in a postgraduate award
Co-requisites None
Restrictions COMP303
Notes None
Combined Units COMP303 - Decision Support Systems
Coordinator(s) Kankana Chakrabarty (kchakrab@une.edu.au)
Unit Description

This unit explores the area of Decision Support Systems (DSS) and investigates the fundamental techniques associated with them. In this unit, students will learn about the frameworks for decision support and Business Intelligence (BI) systems, modeling/analysis, data warehousing fundamentals, Business Analytics/Data Visualisation and Group Support Systems. The characteristics, capabilities, classifications, and components of DSS are also discussed. COMP503 includes the fundamentals of Artificial Intelligence and Expert Systems.

Materials Textbook information will be displayed approximately 8 weeks prior to the commencement of the teaching period. Please note that textbook requirements may vary from one teaching period to the next.
Disclaimer Unit information may be subject to change prior to commencement of the teaching period.
Assessment Assessment information will be published prior to commencement of the teaching period.
Learning Outcomes (LO) Upon completion of this unit, students will be able to:
  1. demonstrate their knowledge in the areas of managerial decision making, decision-making models, and decision-making phases;
  2. explain the characteristics, configurations, capabilities, classifications and components of DSS;
  3. demonstrate their knowledge in modeling and analysis of DSS;
  4. explain the characteristics, structure and components of Business Intelligence and demonstrate their knowledge in the fundamentals of Artificial intelligence and Expert Systems;
  5. apply their knowledge in the areas of Data Warehousing, Business Analytics and Data Visualisation; and
  6. demonstrate their knowledge in the area of collaborative computer-supported technologies and Group Support Systems.

Graduate Attributes (GA)
Attribute Taught Assessed Practised
1 Knowledge of a Discipline
Knowledge of decision-support sytems is taught in lectures and asssessed through the assignments and examination.
True True True
2 Communication Skills
Practised and assessed in assignment solutions. Practised in bulletin board participation.
True True
3 Global Perspectives
The unit presents a global perspective on decision support system issues and their solutions. This is taught in lectures and practised in lab/tutorials.
True True
4 Information Literacy
The unit includes skills in online learning and literature review.
True True
6 Problem Solving
Unit material and assignments teach problem-solving skills in the design of decision-support systems.
True True True
7 Social Responsibility
CRM, business analytics and knowledge acquistion techniques involve social responsibility.
True
8 Team Work
Labs/tutorials include tasks performed in groups.
True
   

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