Decision-Making Support Systems

Decision-Making Support Systems

Course title
Decision-Making Support Systems
Course tag
10032
Semester
5
Course status
Mandatory
ECTS
4
Lectures
30
Practice
15
Independent work
75
Total
120
Teachers and associates
PhD Goran Klepac, University College Professor
Zdravko Kunić, Instructor
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.