Information Package / Course Catalogue
Creative Problem Solving and Decision Making
Course Code: SYB343
Course Type: Required
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 3
Objectives of the Course

To encourage innovation, to promote a culture of working together and to achieve effective results rather than being a part of the problem is to make solutions by using decision-making techniques.

Course Content

Definition of problem, Problem solving process, Decision making techniques, Synchronization of studies

Name of Lecturer(s)
Learning Outcomes
1.Distinguishes activity and event nodes from each other and draws decision trees representing complex States
2.The best expected monetary value is minimax, maximin, etc. it solves the decision tree using various decision-making criteria and clearly expresses the optimal direction of activity.
3.Understand the concepts of certainty conjugation , risk premium and expected monetary value, calculate the risk premium, certainty conjugation and expected monetary value of related decisions in the given decision making problem.
4.Understands the value of information, calculates the expected value of perfect information, and uses it to decide whether to seek more information in the event of a given decision-making
5.Distinguishes between a priori (prior) and Sonal (posterior) probabilities, calculates Sonal probabilities in decisions about experimentation, and decides whether experimental knowledge is necessary.
Recommended or Required Reading
1.Winston, W., , Operations Research, 4th edition, Chapters 13
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction To Decision Making
Week 2 - Theoretical
Decision Trees
Week 3 - Theoretical
Decision Trees
Week 4 - Theoretical
Value Of Information
Week 5 - Theoretical
Decision-making with experimental knowledge: probabilities of a priori, conditional, unconditional and finite event
Week 6 - Theoretical
Decision Making with Experimental Knowledge
Week 7 - Theoretical
Decision Making with Experimental Knowledge
Week 8 - Intermediate Exam
Midterm
Week 9 - Theoretical
Introduction To Utility Theory
Week 10 - Theoretical
Introduction To Utility Theory
Week 11 - Theoretical
Exact Conjugacy and evaluation of a decision maker's utility function
Week 12 - Theoretical
Multi-Featured Benefit Theory
Week 13 - Theoretical
Multi-Featured Benefit Theory
Week 14 - Final Exam
Final Exam.
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140342
Assignment110111
Midterm Examination110111
Final Examination111112
TOTAL WORKLOAD (hours)76
Contribution of Learning Outcomes to Programme Outcomes