Course Detail
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| DECISION ANALYSIS | - | Fall Semester | 3+0 | 3 | 6 |
| Course Program |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | English |
| Course Level | First Cycle (Bachelor's Degree) |
| Course Type | Elective |
| Course Coordinator | Assoc.Prof. Melis Almula KARADAYI |
| Name of Lecturer(s) | Assoc.Prof. Melis Almula KARADAYI |
| Assistant(s) | Res.Asst.Ahmed Arif ŞENGİL ([email protected]) |
| Aim | Major objectives of this course include; • Training students to apply statistical models at intermediate level to solve relevant real-world Decision Making problems. • Developing a sense of critical thinking and providing a comprehension of modeling and rational approaches to decision making. • Developing analytical skills in structuring and analysis of decision making problems. • Understanding the use and limitations of mathematics (probability) theory to find solutions to real world problems. |
| Course Content | This course contains; Overview of the Course, Introduction to Decision Analysis and Decision Making,Analytic Hierarchy Process,TOPSIS METHOD,VIKOR METHOD,INTRODUCTION TO DECISION ANALYSIS,DECISION TREES and EXPECTED MONETARY VALUE ,RISK PROFILES and DOMINANCE,MAKING DECISIONS WITH MULTIPLE OBJECTIVES ,DECISION MAKING UNDER UNCERTAINTY I,DECISION MAKING UNDER UNCERTAINTY II,Value of information: Value of perfect information,Value of information: Value of imperfect information,TERM PROJECT PRESENTATIONS I,TERM PROJECT PRESENTATIONS II. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| Identifies the best decision alternative by evaluating expectations and risk analysis results simultaneously. | 12, 16, 9 | A, D, E, G |
| Identifies the modelling steps in decision theory and recognizes the related basic concepts. | 16, 9 | A, E, G |
| Performs structural modeling of decision problems with the help of decision trees. | 12, 9 | A, E, G |
| Substitutes the preferences of decision maker into the decision problem and compares the results due to these objective /subjective preferences. | 12, 9 | A, G |
| Examines and finalises a real world decision problem by applying all stages that take place in a decision process. | 14, 9 | F |
| Teaching Methods: | 12: Problem Solving Method, 14: Self Study Method, 16: Question - Answer Technique, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam, D: Oral Exam, E: Homework, F: Project Task, G: Quiz |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Overview of the Course, Introduction to Decision Analysis and Decision Making | Lecture Notes |
| 2 | Analytic Hierarchy Process | Lecture Notes |
| 3 | TOPSIS METHOD | Lecture Notes |
| 4 | VIKOR METHOD | Lecture Notes |
| 5 | INTRODUCTION TO DECISION ANALYSIS | Lecture Notes |
| 6 | DECISION TREES and EXPECTED MONETARY VALUE | Lecture Notes |
| 7 | RISK PROFILES and DOMINANCE | Lecture Notes |
| 8 | MAKING DECISIONS WITH MULTIPLE OBJECTIVES | Lecture Notes |
| 9 | DECISION MAKING UNDER UNCERTAINTY I | Lecture Notes |
| 10 | DECISION MAKING UNDER UNCERTAINTY II | Lecture Notes |
| 11 | Value of information: Value of perfect information | Lecture Notes |
| 12 | Value of information: Value of imperfect information | Lecture Notes |
| 13 | TERM PROJECT PRESENTATIONS I | |
| 14 | TERM PROJECT PRESENTATIONS II |
| Resources |
| Making Hard Decisions: An Introduction to Decision Analysis by Robert T. Clemen& T. Reilly South –Western Cengage Learning Academic Press. ISBN 0-495-01508 |
| W. L. Winston, Operations Research: Applications and Algorithms, Thompson Brooks/Cole, 2004. H. A. Taha, Operations Research: An Introduction, Pearson Education, 2007. |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in the solution of complex engineering problems. | X | |||||
| 2 | Ability to formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose. | X | |||||
| 3 | Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose. | ||||||
| 4 | Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively. | X | |||||
| 5 | Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions. | X | |||||
| 6 | Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. | X | |||||
| 7 | Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions. | X | |||||
| 8 | Awareness of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself. | X | |||||
| 9 | Knowledge on behavior according ethical principles, professional and ethical responsibility and standards used in engineering practices. | ||||||
| 10 | Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development. | ||||||
| 11 | Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions. | ||||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 30 | |
| Rate of Final Exam to Success | 70 | |
| Total | 100 | |
| ECTS / Workload Table | ||||||
| Activities | Number of | Duration(Hour) | Total Workload(Hour) | |||
| Course Hours | 14 | 3 | 42 | |||
| Guided Problem Solving | 0 | 0 | 0 | |||
| Resolution of Homework Problems and Submission as a Report | 1 | 21 | 21 | |||
| Term Project | 14 | 3 | 42 | |||
| Presentation of Project / Seminar | 1 | 40 | 40 | |||
| Quiz | 0 | 0 | 0 | |||
| Midterm Exam | 1 | 15 | 15 | |||
| General Exam | 1 | 20 | 20 | |||
| Performance Task, Maintenance Plan | 0 | 0 | 0 | |||
| Total Workload(Hour) | 180 | |||||
| Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(180/30) | 6 | |||||
| ECTS of the course: 30 hours of work is counted as 1 ECTS credit. | ||||||
Detail Informations of the Course
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| DECISION ANALYSIS | - | Fall Semester | 3+0 | 3 | 6 |
| Course Program |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | English |
| Course Level | First Cycle (Bachelor's Degree) |
| Course Type | Elective |
| Course Coordinator | Assoc.Prof. Melis Almula KARADAYI |
| Name of Lecturer(s) | Assoc.Prof. Melis Almula KARADAYI |
| Assistant(s) | Res.Asst.Ahmed Arif ŞENGİL ([email protected]) |
| Aim | Major objectives of this course include; • Training students to apply statistical models at intermediate level to solve relevant real-world Decision Making problems. • Developing a sense of critical thinking and providing a comprehension of modeling and rational approaches to decision making. • Developing analytical skills in structuring and analysis of decision making problems. • Understanding the use and limitations of mathematics (probability) theory to find solutions to real world problems. |
| Course Content | This course contains; Overview of the Course, Introduction to Decision Analysis and Decision Making,Analytic Hierarchy Process,TOPSIS METHOD,VIKOR METHOD,INTRODUCTION TO DECISION ANALYSIS,DECISION TREES and EXPECTED MONETARY VALUE ,RISK PROFILES and DOMINANCE,MAKING DECISIONS WITH MULTIPLE OBJECTIVES ,DECISION MAKING UNDER UNCERTAINTY I,DECISION MAKING UNDER UNCERTAINTY II,Value of information: Value of perfect information,Value of information: Value of imperfect information,TERM PROJECT PRESENTATIONS I,TERM PROJECT PRESENTATIONS II. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| Identifies the best decision alternative by evaluating expectations and risk analysis results simultaneously. | 12, 16, 9 | A, D, E, G |
| Identifies the modelling steps in decision theory and recognizes the related basic concepts. | 16, 9 | A, E, G |
| Performs structural modeling of decision problems with the help of decision trees. | 12, 9 | A, E, G |
| Substitutes the preferences of decision maker into the decision problem and compares the results due to these objective /subjective preferences. | 12, 9 | A, G |
| Examines and finalises a real world decision problem by applying all stages that take place in a decision process. | 14, 9 | F |
| Teaching Methods: | 12: Problem Solving Method, 14: Self Study Method, 16: Question - Answer Technique, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam, D: Oral Exam, E: Homework, F: Project Task, G: Quiz |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Overview of the Course, Introduction to Decision Analysis and Decision Making | Lecture Notes |
| 2 | Analytic Hierarchy Process | Lecture Notes |
| 3 | TOPSIS METHOD | Lecture Notes |
| 4 | VIKOR METHOD | Lecture Notes |
| 5 | INTRODUCTION TO DECISION ANALYSIS | Lecture Notes |
| 6 | DECISION TREES and EXPECTED MONETARY VALUE | Lecture Notes |
| 7 | RISK PROFILES and DOMINANCE | Lecture Notes |
| 8 | MAKING DECISIONS WITH MULTIPLE OBJECTIVES | Lecture Notes |
| 9 | DECISION MAKING UNDER UNCERTAINTY I | Lecture Notes |
| 10 | DECISION MAKING UNDER UNCERTAINTY II | Lecture Notes |
| 11 | Value of information: Value of perfect information | Lecture Notes |
| 12 | Value of information: Value of imperfect information | Lecture Notes |
| 13 | TERM PROJECT PRESENTATIONS I | |
| 14 | TERM PROJECT PRESENTATIONS II |
| Resources |
| Making Hard Decisions: An Introduction to Decision Analysis by Robert T. Clemen& T. Reilly South –Western Cengage Learning Academic Press. ISBN 0-495-01508 |
| W. L. Winston, Operations Research: Applications and Algorithms, Thompson Brooks/Cole, 2004. H. A. Taha, Operations Research: An Introduction, Pearson Education, 2007. |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in the solution of complex engineering problems. | X | |||||
| 2 | Ability to formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose. | X | |||||
| 3 | Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose. | ||||||
| 4 | Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively. | X | |||||
| 5 | Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions. | X | |||||
| 6 | Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. | X | |||||
| 7 | Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions. | X | |||||
| 8 | Awareness of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself. | X | |||||
| 9 | Knowledge on behavior according ethical principles, professional and ethical responsibility and standards used in engineering practices. | ||||||
| 10 | Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development. | ||||||
| 11 | Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions. | ||||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 30 | |
| Rate of Final Exam to Success | 70 | |
| Total | 100 | |