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COMP303 Decision Support Systems

Updated: 21 December 2009
Credit Points 6
Offering
Responsible Campus Teaching Period Mode of Study Online Level
Armidale Semester 1 Off Campus D - Comp/internet essential
Armidale Semester 1 On Campus D - Comp/internet essential
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 12cp in COMP
Co-requisites None
Restrictions COMP503
Notes

200- and 300-level COMP units (excluding COMP286, COMP292, COMP303, COMP313 and COMP393) require a knowledge of, and programming experience with, the C++ or Java language.
Combined Units COMP503 - 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 further includes the fundamentals of Artificial Intelligence and Expert Systems.
Prescribed Material
Mandatory 		Text(s):

Note: Students are expected to purchase prescribed material

Decision Support and Business Intelligence Systems
ISBN: 9780131986602
Turban, E., Aronson J.E., Liang Ting-Peng and Sharda, R., Pearson/Prentice Hall 8th ed. 2007
Text refers to: Semester 1 , On and Off Campus
Referenced Material
Optional 		Text(s):

Note: Reference material is held in the University Library - purchase is optional

Decision Support Systems in the 21st Century
ISBN: 9780130922069
Marakas, G.M., Prentice Hall 2nd ed. 2002
Note: Available from the Dixson Library, UNE.
Text refers to: Semester 1 , On and Off Campus
Disclaimer Unit information may be subject to change prior to commencement of the teaching period.
Assessment
Title Exam Length Weight Mode No. Words
Assignment 1 15%
Assessment Notes
Short answers
Relates to Learning Outcomes (LO) and Graduate Attributes (GA)
LO: 1, 2, 3, 4, 5, 6 GA: 1, 2, 6
Assignment 2 15%
Assessment Notes
Short answers
Relates to Learning Outcomes (LO) and Graduate Attributes (GA)
LO: 1, 2, 3, 4, 5, 6 GA: 1, 2, 6
Final Examination 2 hrs 70%
Relates to Learning Outcomes (LO) and Graduate Attributes (GA)
LO: 1, 2, 3, 4, 5, 6 GA: 1, 2, 6

Learning Outcomes (LO) Upon completion of this unit, students will be able to:
  1. demonstrate his/her 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 his/her knowledge in modeling and analysis of DSS;
  4. explain the characteristics, structure and components of Business Intelligence;
  5. explain the notions of Data Warehousing, Business Analytics and Data Visualization;
  6. explain the fundamentals 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 systems is taught in lectures and assessed through the assignments and examination. 		True True True
2 Communication Skills
Practised and assessed in assignment solutions. Practised in bulletin board participation. 		True True
6 Problem Solving
Unit material and assignments teach problem solving skills in an important area of IT. 		True True True
   

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