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DECISION SUPPORT SYSTEMS COURSE IDENTIFICATION AND APPLICATION INFORMATION

Code Name of the Course Unit Semester In-Class Hours (T+P) Credit ECTS Credit
YBS302 DECISION SUPPORT SYSTEMS 6 3 3 7

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY

Week Preparatory Topics(Subjects) Method
1 - Decision Making Process and Decisions in Environments of Certainty, Uncertainty, and Risk Lecture & Discussion & Practice
2 Literature Review Python (Numpy Library) Lecture & Discussion & Practice
3 Literature Review Python (Numpy Library) Lecture & Discussion & Practice
4 Literature Review Analytic Hierarchy Process (AHP) Lecture & Discussion & Practice
5 Literature Review AHP with Python (Numpy Library) Lecture & Discussion & Practice
6 Literature Review Analytic Network Process Lecture & Discussion & Practice
7 Literature Review Fuzzy AHP Lecture & Discussion & Practice
8 Literature Review Fuzzy AHP with Python Lecture & Discussion & Practice
9 Literature Review TOPSIS Method and TOPSIS with Python Lecture & Discussion & Practice
10 - MID-TERM EXAM -
11 Literature Review Entropy Method and Entropy with Python Lecture & Discussion & Practice
12 Literature Review ELECTRE Method Lecture & Discussion & Practice
13 Literature Review VIKOR Method Lecture & Discussion & Practice
14 Literature Review ELECTRE and VIKOR Methods with Python Lecture & Discussion & Practice
15 Literature Review Project Presentation Lecture & Discussion & Practice
16 - FINAL EXAM -
17 - FINAL EXAM -