 |
Description of Individual Course Units| Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | | İDR512 | Yöneylem Araştırmasında Seçilmiş Konular II | Elective | 1 | 2 | 6 |
| | Level of Course Unit | | Third Cycle | | Objectives of the Course | | The main aim of the course is to examine the decision making process and different decision making methods. The basic concepts of decision making process, schemes that can be used in decision making, uncertainty and decision making at risk, decision tree, Bayes decision process, utility theory, the use of some probability distributions in decision making, the relation of decision making at risk with Monte-Carlo simulation, Decision making with Markov chains, Electre, Topsis and AHP will cover multi-criteria decision making. In this context, students will learn about data organization, presentation, analysis methods, interpretation and problem solving. | | Name of Lecturer(s) | | Doç. Dr. Hakan PABUÇCU | | Learning Outcomes | | 1 | Decision maker, decision environment, decision types, etc. will learn the concepts and decision process. | | 2 | They will be able to use diagrams such as cause-effect and effect diagram. | | 3 | They will be able to learn and apply decision making criteria under uncertainty and risk. | | 4 | They will be able to express and solve simple and sequential decision making problems with the decision tree. | | 5 | They will be able to determine the benefits of options and / or strategies with utility theory. | | 6 | They will be able to use some probability distributions in decision making. | | 7 | They will be able to simulate Monte-Carlo for simple problems with MS Excel. | | 8 | They will be able to make decisions using Markov analysis. | | 9 | They will learn the properties of multi-criteria decision making problems and techniques such as Electre, Topsis, AHP. |
| | Mode of Delivery | | Normal Education | | Prerequisites and co-requisities | | None | | Recommended Optional Programme Components | | None | | Course Contents | | The topics of this course include the theory of linear programming, algorithms and solution methods; formulating linear programs; duality and sensitivity analysis; primaldual simplex methods; transportation, accommodation and assignment problems; Extensions of linear programming are integer programming and solution methods. | | Weekly Detailed Course Contents | |
| 1 | What is decision making Decision makers, decision roles, criteria (criteria), alternatives. | | | | 2 | Evaluation according to criteria, operations research approach, multi-criteria. | | | | 3 | Decision making problems (first and second group problems) | | | | 4 | Multi-criteria utility theory mathematical principles | | | | 5 | Decision making in uncertain environment-max-max, max-min and min-max regret criteria | | | | 6 | Decision making in risk environment - Expected Value Criteria and Expected Opportunity Loss Criteria | | | | 7 | Analytical Hierarchy Process (AHP) | | | | 8 | Mid-Term Exam | | | | 9 | Introduction to Game Theory and strategies | | | | 10 | Solving problems related to Game Theory | | | | 11 | Queue (Waiting Models) Theory | | | | 12 | Project Management | | | | 13 | Program Evaluation and Review Method (PERT) | | | | 14 | Critical Path Method (CPM) | | | | 15 | Overview | | | | 16 | Final Exam | | |
| | Recommended or Required Reading | | 1. Evren, R., Ülengin, F., Yönetimde Çok Amaçlı Karar Verme, İ.T.Ü. Rektörlüğü, 1992.
2. Rivet, P., Model Building for Decision Analysis, John Wiley and Sons, Chicester, 1980.
3. Saaty, T.L., Vargas, L.G., Decision Making in Economic, Political, Social and technological Environments: with the Analytic Hierarchy Process, University of Pittsburgh, 1994.
4. Simon, H. A. Administrative Behavior: A Study of Decision-Making Processes in Administrative Organizations, New York : Free Press, c1997.
5. Goodwin, P., Wright G., Decision Analysis for Management Judgment,New York:Wiley, 1991.
6. Vincke, Ph., 1992.Multi Criteria Decision Aid. John Wiley & Sons, Inc., WestSussex.
7. Yoon, K.P. and Hwang C-L., 1995. Multi Attribute Decision Making: An Introduction.Sage University Papers Series, Quantitative Applications in the Social Sciences, No 07-104, Sage Pubn., London | | Planned Learning Activities and Teaching Methods | | | Assessment Methods and Criteria | |
| Midterm Examination | 1 | 100 | | SUM | 100 | |
| Final Examination | 1 | 100 | | SUM | 100 | | Term (or Year) Learning Activities | 30 | | End Of Term (or Year) Learning Activities | 70 | | SUM | 100 |
| | Language of Instruction | | Turkish | | Work Placement(s) | | None |
| | Workload Calculation | |
| Midterm Examination | 1 | 2 | 2 | | Final Examination | 1 | 2 | 2 | | Attending Lectures | 14 | 4 | 56 | | Self Study | 14 | 4 | 56 | | Individual Study for Mid term Examination | 1 | 24 | 24 | | Individual Study for Final Examination | 1 | 30 | 30 | |
| Contribution of Learning Outcomes to Programme Outcomes | | LO1 | 3 | 4 | 5 | 2 | 5 | 4 | | LO2 | 3 | 3 | 3 | 3 | 3 | 3 | | LO3 | 1 | 4 | 3 | 2 | 4 | 3 | | LO4 | 3 | 3 | 2 | 4 | 2 | 2 | | LO5 | 4 | 2 | 3 | 3 | 5 | 5 | | LO6 | 4 | 4 | 2 | 2 | 3 | 4 | | LO7 | 3 | 3 | 4 | 2 | 3 | 2 | | LO8 | 3 | 3 | 3 | 3 | 2 | 2 | | LO9 | 4 | 2 | 2 | 2 | 2 | 3 |
| | * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
 |
| |
|
|