To learn the tools and techniques for analyzing complex business situations to make scientific decisions
Prerequisite(s)
None
Corequisite(s)
None
Special Requisite(s)
None
Instructor(s)
ProfessorHeyecan GİRİTLİ
Course Assistant(s)
None
Schedule
Tuesday 10:00-12:45 4C-12/14
Office Hour(s)
After the course session in te course class.
Teaching Methods and Techniques
-Lecture, question-answer, discussion, problem solving
Principle Sources
-Winston, W., , Operations Research, 4th edition, Chapters 13
-Hillier and Lieberman, Introduction to Operations Research, 8th edition, Chapter 15
Other Sources
-None
Course Schedules
Week
Contents
Learning Methods
1. Week
Introduction to Decision Making
Lecture, question-answer, discussion, problem solving
2. Week
Decision Trees
Lecture, question-answer, discussion, problem solving
3. Week
Decision Trees
Lecture, question-answer, discussion, problem solving
4. Week
Value of Information
Lecture, question-answer, discussion, problem solving
5. Week
Decision Making with Experimental Information: Prior, Conditional, Unconditional and Posterior Event Probabilities
Lecture, question-answer, discussion, problem solving
6. Week
Decision Making with Experimental Information
Lecture, question-answer, discussion, problem solving
7. Week
Decision Making with Experimental Information
Lecture, question-answer, discussion, problem solving
8. Week
Midterm
Exam
9. Week
Introduction to Utility Theory
Lecture, question-answer, discussion, problem solving
10. Week
Introduction to Utility Theory
Lecture, question-answer, discussion, problem solving
11. Week
Certainty Equivalent and Assessing a Decision-Makers Utility function
Lecture, question-answer, discussion, problem solving
12. Week
Multiattribute Utility Theory
Lecture, question-answer, discussion, problem solving
13. Week
Multiattribute Utility Theory
Lecture, question-answer, discussion, problem solving
14. Week
Analytical Hiearcy Process
Lecture, question-answer, discussion, problem solving
15. Week
Analytical Hiearcy Process (AHP)
Lecture, question-answer, discussion, problem solving
16. Week
Review
Lecture, question-answer, discussion, problem solving
17. Week
Final
Exam
Assessments
Evaluation tools
Quantity
Weight(%)
Program Outcomes
PO-1
- Develop and deepen the current and advanced knowledge in the field with original thought and/or research and come up with innovative definitions based on Master's degree qualifications.
PO-2
Conceive the interdisciplinary interaction which the field is related with ; come up with original solutions by using knowledge requiring proficiency on analysis, synthesis and assessment of new and complex ideas.
PO-3
Evaluate and use new information within the field in a systematic approach.
PO-4
Develop an innovative knowledge, method, design and/or practice or adapt an already known knowledge, method, design and/or practice to another field; research, conceive, design, adapt and implement an original subject.
PO-5
Critical analysis, synthesis and evaluation of new and complex ideas.
PO-6
Gain advanced level skills in the use of research methods in the field of study.
PO-7
Contribute the progression in the field by producing an innovative idea, skill, design and/or practice or by adapting an already known idea, skill, design, and/or practice to a different field independently.
PO-8
Broaden the borders of the knowledge in the field by producing or interpreting an original work or publishing at least one scientific paper in the field in national and/or international refereed journals.
PO-9
Demonstrate leadership in contexts requiring innovative and interdisciplinary problem solving.
PO-10
Develop new ideas and methods in the field by using high level mental processes such as creative and critical thinking, problem solving and decision making.
PO-11
Investigate and improve social connections and their conducting norms and manage the actions to change them when necessary.
PO-12
Defend original views when exchanging ideas in the field with professionals and communicate effectively by showing competence in the field.
PO-13
Ability to communicate and discuss orally, in written and visually with peers by using a foreign language at least at a level of European Language Portfolio C1 General Level.
PO-14
Contribute to the transition of the community to an information society and its sustainability process by introducing scientific, technological, social or cultural improvements.
PO-15
Demonstrate functional interaction by using strategic decision making processes in solving problems encountered in the field.
PO-16
Contribute to the solution finding process regarding social, scientific, cultural and ethical problems in the field and support the development of these values.
Learning Outcomes
LO-1
Distinguishes between action and event nodes and draws a decision tree representing a complex situation
LO-2
Solves a decision tree by using various decision-making criteria including expected monetary value (EMV), maximin, minimax, etc., and articulates the optimal course of action found
LO-3
Compherends the concepts of certainty equivalent (CE), risk premium (RP), and EMV; Calculates CE, RP, and EMV of related decisions in a given decision-making problem
LO-4
Comprehends the value of information, calculates expected value of perfect information (EVPI) and uses it to decide whether to seek further information in a given decision-making situation
LO-5
Distinguishes between prior and posterior probabilities; calculates posterior probabilities in a given decision-making decisions with experimentation and decides whether experimental information is needed
