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NUMERICAL DECISION MAKING METHODS COURSE IDENTIFICATION AND APPLICATION INFORMATION

Code Name of the Course Unit Semester In-Class Hours (T+P) Credit ECTS Credit
YBS321 NUMERICAL DECISION MAKING METHODS 5 3 3 5

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY

Week Preparatory Topics(Subjects) Method
1 - Numerical decision-making techniques General introduction Lecture & Practice – Exercise & Team/Group Work
2 Literature Review Model concept and optimization, introduction to linear programming Lecture & Practice – Exercise & Team/Group Work
3 Literature Review Linear programming: basic concepts and modelling Lecture & Practice – Exercise & Team/Group Work
4 Literature Review Linear programming: solution concept Lecture & Practice – Exercise & Team/Group Work
5 Literature Review Linear programming: sensitivity analysis Lecture & Practice – Exercise & Team/Group Work
6 Literature Review Linear programming: Simplex method and Duality Lecture & Practice – Exercise & Team/Group Work
7 Literature Review Integer Linear programming: Modelling Lecture & Practice – Exercise & Team/Group Work
8 - MID-TERM EXAM -
9 Literature Review 0 – 1 programming: Modelling Lecture & Practice – Exercise & Team/Group Work
10 Literature Review Data envelopment analysis Lecture & Practice – Exercise & Team/Group Work
11 Literature Review Markov analysis Lecture & Practice – Exercise & Team/Group Work
12 Literature Review Estimation methods Lecture & Practice – Exercise & Team/Group Work
13 Literature Review Decision-making analysis: decision making under uncertainty Lecture & Practice – Exercise & Team/Group Work
14 Literature Review Decision-making analysis: decision making under risk Lecture & Practice – Exercise & Team/Group Work
15 Literature Review Introduction to project management Lecture & Practice – Exercise & Team/Group Work
16 - FINAL EXAM -
17 - FINAL EXAM -