Information Package / Course Catalogue
| Psychology | |||||
| Bachelor | Length of the Programme: 4 | Number of Credits: 240 | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF: Level 6 |
Ders Genel Tanıtım Bilgileri
| School/Faculty/Institute | Faculty of Engineering | |||||
| Course Code | IE 433 | |||||
| Course Title in English | Decision Analysis | |||||
| Course Title in Turkish | Karar Analizi | |||||
| Language of Instruction | EN | |||||
| Type of Course | Flipped Classroom,Lecture | |||||
| Level of Course | Introductory | |||||
| Semester | Fall | |||||
| Contact Hours per Week |
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| Estimated Student Workload | 151 hours per semester | |||||
| Number of Credits | 6 ECTS | |||||
| Grading Mode | Standard Letter Grade | |||||
| Pre-requisites | None | |||||
| Expected Prior Knowledge | none | |||||
| Co-requisites | None | |||||
| Registration Restrictions | none | |||||
| Overall Educational Objective | To learn to apply a scientific approach to decision problems that require quantitative factors. | |||||
| Course Description | Decision analysis provides a logical framework for structuring and evaluating a decision scenario with the goal of obtaining clarity of action. This framework involves formulating creative alternatives, characterizing uncertain events, and incorporating the decision-makers values and preferences. This course introduces a set of coherent tools used for framing problems and performing logical analyses, and provides a foundation for decision analytic modeling in Excel, R, etc. Topics covered include decision trees, influence diagrams, value of information, sensitivity analysis, utility theory and the applications of decision analysis on real life cases. | |||||
| Course Description in Turkish | Karar analizi, karar verme süreçlerindeki belirsizliği ortadan kaldırmak amacıyla, herhangi bir karar senaryosunun mantıksal bir çerçeve ile yapılandırılması ve değerlendirilmesini sağlar. Bu çerçeveye yaratıcı alternatiflerin oluşturulması, belirsiz olayların karakterize edilmesi ve tüm bu süreçlere karar vericilerin değer ve tercihlerinin dahil edilmesi gerekir. Bu derste problemleri yapılandırmaya, mantıksal analizler yapmaya ve Excel, R gibi yazılımlar kullanarak analitik modeller oluşturmaya dair çeşitli araçlar öğretilmektedir. Derste, karar ağaçları, etki diyagramları, bilginin değeri, hassasiyet analizi, fayda teorisi ve karar analizinin gerçek hayat vakalarına uygulanması gibi çeşitli konulara değinilir. |
Course Learning Outcomes and CompetencesUpon successful completion of the course, the learner is expected to be able to:1) Comprehend and demonstrate the basics of decision analysis; 2) Develop decision making models and implement analytical techniques to identify the alternatives in a decision making process; 3) Apply the basic tools and methods used in decision analysis; 4) Select the appropriate decision analysis tools and apply it for some real life cases and reports it in a project report; 5) Function effectively as a member of a team; 6) Organize and deliver effective verbal, written, virtual, and graphical communications. |
| Program Learning Outcomes/Course Learning Outcomes | 1 | 2 | 3 | 4 | 5 | 6 |
|---|---|---|---|---|---|---|
| 1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. | ||||||
| 2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. | ||||||
| 3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. | ||||||
| 4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. | ||||||
| 5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. | ||||||
| 6) Internalization and dissemination of professional ethical standards. | ||||||
| 7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. | ||||||
| 8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). | ||||||
| 9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity. | ||||||
| 10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. | ||||||
| 11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. | ||||||
| 12) Ability to acquire knowledge independently, and to plan one’s own learning. | ||||||
| 13) Demonstration of advanced competence in the clarity and composition of written work and presentations. |
Relation to Program Outcomes and Competences
| N None | S Supportive | H Highly Related |
| Program Outcomes and Competences | Level | Assessed by | |
| 1) | Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. | N | |
| 2) | Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. | N | |
| 3) | Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. | H | Exam,HW,Participation |
| 4) | Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. | N | |
| 5) | Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. | N | |
| 6) | Internalization and dissemination of professional ethical standards. | N | |
| 7) | Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. | N | |
| 8) | Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). | N | |
| 9) | Recognition, understanding, and respect for the complexity of sociocultural and international diversity. | S | Participation |
| 10) | Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. | S | HW,Participation |
| 11) | Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. | N | |
| 12) | Ability to acquire knowledge independently, and to plan one’s own learning. | S | Exam,HW |
| 13) | Demonstration of advanced competence in the clarity and composition of written work and presentations. | H | Exam,HW |
| Prepared by and Date | EVREN GÜNEY , December 2023 |
| Course Coordinator | TUBA AYHAN |
| Semester | Fall |
| Name of Instructor | Assoc. Prof. Dr. EVREN GÜNEY |
Course Contents
| Week | Subject |
| 1) | Introduction to decision analysis |
| 2) | Analytic Hierarchy Process |
| 3) | Analytic Hierarchy Process |
| 4) | Decision Making Without Experimentation / Payoff Matrices |
| 5) | Expected Value of Perfect Information |
| 6) | Alternative Decision Criteria in Decision Making Without Experimentation |
| 7) | Introduction to Decision Trees |
| 8) | Performing Analysis on Decision Trees |
| 9) | Decision Making With Experimentation |
| 10) | Use of Bayes Rule in Decision Making With Experimentation |
| 11) | Using Decision Trees With Utilities and Utility Theory |
| 12) | Game Theory – Introduction |
| 13) | Game Theory – Using Linear Programming |
| 14) | Case Studies and Project Presentations |
| 15) | Final Exam/Project/Presentation Period |
| 16) | Final Exam/Project/Presentation Period |
| Required/Recommended Readings | Recommended: - F.S.Hillier, G.J. Lieberman, Introduction to Operations Research, 9th Ed. - H.A. Taha, Oğerations Research: An Introduction, 10th Ed. - R.T. Celmen, T. Reily, Making Hard Decisions with decision Tools, Pasific Grove, CA : Duxbury/Thomson Learning, 3rd Ed. | |||||||||||||||
| Teaching Methods | Lectures/contact hours using “flipped classroom” as an active learning technique | |||||||||||||||
| Homework and Projects | • Problems from textbook (they will not be collected and not graded, quiz questions will be very similar or identical to the problems). • A term project that covers all topics learned in this course | |||||||||||||||
| Laboratory Work | none | |||||||||||||||
| Computer Use | none | |||||||||||||||
| Other Activities | none | |||||||||||||||
| Assessment Methods |
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| Course Administration |
guneye@mef.edu.tr Instructor’s -office and phone number: 5th floor, 212 3953740 -office hours: TBA -email address: guneye@mef.edu.tr Exams and quizzes: Closed book and closed notes. Homework: Problems from textbook will be given as extra course material (they will not be collected and not graded, quiz questions will be very similar or identical to the problems). Rules for attendance: YÖK regulations. Rules for late submission of assignments: N/A Missing a quiz: No make-up will be given for the missed quizzes. For certain excuses (decided by the instructor) the percentage of the missed quiz may be added to the midterm or to the final. Missing a midterm: You are expected to be present without exception and to plan any travel around these dates accordingly. Medical emergencies are of course excluded if accompanied by a doctor’s note. A note indicating that you were seen at the health center on the day of the exam is not a sufficient documentation of medically excused absence from the exam. The note must say that you were medically unable to take the exam. Provided that proper documents of excuse are presented, missed midterm by the student will be given the grade of the final exam. No make-up will be given. If you fail to take the exam on the assigned day and do not have a valid excuse, you will be given zero (0) on the exam. Employment interviews, employer events, weddings, vacations, etc. are not excused absences. Eligibility to take the final exam: YÖK regulations. Missing a final: Faculty regulations. A reminder of proper classroom behavior, code of student conduct: YÖK Regulations Academic dishonesty and plagiarism: YÖK Regulations |
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ECTS Student Workload Estimation
| Activity | No/Weeks | Hours | Calculation | ||||
| No/Weeks per Semester | Preparing for the Activity | Spent in the Activity Itself | Completing the Activity Requirements | ||||
| Course Hours | 14 | 1 | 3 | 1 | 70 | ||
| Project | 1 | 40 | 1 | 41 | |||
| Quiz(zes) | 4 | 5 | 1 | 24 | |||
| Midterm(s) | 1 | 15 | 1 | 16 | |||
| Total Workload | 151 | ||||||
| Total Workload/25 | 6.0 | ||||||
| ECTS | 6 | ||||||