| Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | | İDR516 | Karar Teorisi II | Elective | 1 | 2 | 6 |
|
| Level of Course Unit |
| Third Cycle |
| Objectives of the Course |
| The aim of this course is to provide students with introductory information about modeling problems in decision making situations in uncertainty, risk, uncertainty and multiculturalism, developing and analyzing solution suggestions. |
| Name of Lecturer(s) |
| Doç. Dr. Hakan PABUÇCU |
| Learning Outcomes |
| 1 | Will be able to analyze problems encountered in decision making situations in uncertainty, risk and certainty environments. | | 2 | Will be able to create decision trees to find rational solutions to problems in uncertainty and risk environments. | | 3 | Will be able to calculate the value of information | | 4 | will be able to use basic knowledge of utility theory | | 5 | Will be able to analyze various solution concepts of problems encountered in decision making situations in multi-criteria environments. | | 6 | Will be able to use basic approaches of target programming |
|
| Mode of Delivery |
| Normal Education |
| Prerequisites and co-requisities |
| None |
| Recommended Optional Programme Components |
| None |
| Course Contents |
| This course is one of the most important parts of the operations research course and learns the logical ways to choose the best from more than one alternative. The degree of "goodness" of the chosen alternative depends on the quality of the data describing the decision situation. Based on this perspective, it can be said that a decision making process can be evaluated within one of the following categories:
1. In the uncertainty environment, the extent to which the available data relates to the decision process is not known.
2. The data available in decision making problems in the risk environment cannot be identified with a certain probability distribution.
3. It is assumed that the data are defined in a deterministic way in decision-making problems in the setting environment. Determination of effective solutions in decision-making problems in multi-criteria environment is carried out under the condition of optimizing more than one criterion at the same time. In this course, students will be able to determine their decision situations, determine and use decision rules based on this situation, decision trees, utility theory, evaluation methods of information and additional information, multi-criteria decision models, solution concepts for these models and calculation methods of solutions, target programming. problems and methods of analysis of their solutions are taught. |
| Weekly Detailed Course Contents |
|
| 1 | Introduction to decision theory. Decision making in case of certainty. Decision making in case of uncertainty. | | | | 2 | Decision making in case of risk. | | | | 3 | Utility Theory. The only qualified benefit. Creating utility functions. | | | | 4 | Creating utility functions for non-monetary attributes. | | | | 5 | Axioms of utility theory | | | | 6 | Risk attitudes | | | | 7 | Risk value share | | | | 8 | mid-term exam | | | | 9 | Use of additional information. The expected value of getting information. The expected value of full information. | | | | 10 | Inexperienced decision making. Decision making by experiment. | | | | 11 | Multi-criteria decision making. Goal programming | | | | 12 | Very qualified benefit functions. | | | | 13 | Analytic hierarchy process. | | | | 14 | Heavy pressure relations | | | | 15 | again | | | | 16 | Review | | |
|
| Recommended or Required Reading |
| . Robert T. Clemen, Terence Reilly, Making Hard Decisions With Decision Tools, Duxbury Thomson Learning, 2001; ISBN13: 9780495015086; ISBN10: 0495015083. 2. Wayne L. Winston, Operations Research. Applications and Algorithms, Duxbury Press, Belmont, California, 1994. |
| 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 | 30 | 30 |
| Final Examination | 1 | 40 | 40 |
| Attending Lectures | 1 | 20 | 20 |
| Project Preparation | 1 | 30 | 30 |
| Project Presentation | 1 | 20 | 20 |
| Self Study | 1 | 30 | 30 |
|
| Contribution of Learning Outcomes to Programme Outcomes |
| LO1 | 4 | 3 | 4 | 5 | 4 | 5 | | LO2 | 4 | 3 | 2 | 4 | 3 | 2 | | LO3 | 3 | 4 | 4 | 2 | 4 | 2 | | LO4 | 2 | 3 | 2 | 3 | 2 | 2 | | LO5 | 2 | 2 | 3 | 1 | 2 | 1 | | LO6 | 4 | 4 | 5 | 4 | 4 | 4 |
|
| * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
 |
| |