Decision-Making Support Systems

Decision-Making Support Systems

Course title
Decision-Making Support Systems
Course tag
11-11032
Semester
5
Course status
Mandatory
ECTS
6
Lectures
30
Practice
30
Independent work
120
Total
180
Teachers and associates
Assistant Professor PhD Goran Klepac
Zdravko Kunić, Lecturer
Zlatan Morić, Lecturer
The course aims
Introducing types, arhitecture and methodology for building decision support Systems.
Content
Students will get basics of decision support systems, methods and tools. Students will be able to design basic decision suppot system which include applying advanced analyitical techniques, attribute relevance analysis with aim of constructing decision support system.
Literature:
1. Efraim Turban, Jay E Aronson, Ting-Peng Liang, Ramesh Sharda. Decision Support and Business Intelligence Systems (8th Edition). Prentice Hall. 2006.
Supplementary literature
1. Ralph Kimball, Margy Ross. The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling (Second Edition). Wiley. 2005.
2. Ralph Kimball, Joe Caserta. The Data Warehouse ETL Toolkit: Practical Techniques for Extracting, Cleaning. John Wiley and Sons. 2004.

Minimum learning outcomes

  1. Classify decision support system elements.
  2. Attribute relevance analysis calculation.
  3. Evaluate usage of specific quantitative method within decision support system.
  4. Selection of adequate kvantitative method for solving problems in domain of decision support Systems.

Preferred learning outcomes

  1. Classify complex decision support system elements.
  2. Attribute relevance analysis calculation and expanation.
  3. Evaluate usage of specific quantitative method within decision support system and jusify usage of chosen method.
  4. Selection of adequate kvantitative method for solving problems in domain of decision support systems and solution proposal.