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 Economics, Administrative and Social Sciences | ||||
| Course Code | MGMT 346 | ||||
| Course Title in English | Decision-Making in the Age of Artificial Intelligence (AI) | ||||
| Course Title in Turkish | Yapay Zeka Çağında Karar Verme | ||||
| Language of Instruction | TR | ||||
| Type of Course | Flipped Classroom | ||||
| Level of Course | Seçiniz | ||||
| Semester | Fall | ||||
| Contact Hours per Week |
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| Estimated Student Workload | 128 hours per semester | ||||
| Number of Credits | 5 ECTS | ||||
| Grading Mode | Standard Letter Grade | ||||
| Pre-requisites | None | ||||
| Expected Prior Knowledge | None | ||||
| Co-requisites | None | ||||
| Registration Restrictions | Only Undergraduate Students | ||||
| Overall Educational Objective | To understand the historical and modern perspectives on decision making and be able to analyze the interplay between AI technologies and managerial decision-making processes. | ||||
| Course Description | This course delves into the evolution of managerial decision-making from its origins in ancient philosophy to its modern interpretations in the age of artificial intelligence (AI). Leveraging insights from management theory, cognitive psychology, behavioral economics, and neuroscience, students will gain a comprehensive understanding of decision-making processes. | ||||
| Course Description in Turkish | Bu ders, antik felsefede kökleri bulunan yönetimsel karar almanın evrimini, yapay zeka çağında modern yorumlarına kadar ele almaktadır. Yönetim teorisi, bilişsel psikoloji, davranışsal ekonomi ve nörobilimden elde edilen içgörülerle öğrenciler karar verme süreçleri hakkında kapsamlı bir anlayış kazanacaklardır. |
Course Learning Outcomes and CompetencesUpon successful completion of the course, the learner is expected to be able to:1) discuss the historical context and evolution of decision-making theories; 2) analyze the cognitive processes underlying managerial decisions; 3) evaluate the role and impact of AI technologies on modern managerial practices; 4) examine ethical and societal considerations in AI-driven decision-making; 5) synthesize knowledge from various domains to predict future trends in AI-augmented decision-making. |
| Program Learning Outcomes/Course Learning Outcomes | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|
| 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 | , |
| Course Coordinator | BÜŞRA AYAN |
| Semester | Fall |
| Name of Instructor | Prof. Dr. SEMEN SON TURAN |
Course Contents
| Week | Subject |
| 1) | Introduction to the Course |
| 2) | Wisdom vs. Sheer Intelligence (AI) – What is Reality? |
| 3) | How do we know what we know? |
| 4) | Cognitive Processes and Decision Making |
| 5) | Behavioral Economics and Rationality |
| 6) | Neuroscience and Decision Making |
| 7) | Exam 1 |
| 8) | What is Artificial Intelligence? |
| 9) | Management Theories |
| 10) | Management Theories |
| 11) | What is Ethics? |
| 12) | Too many choices… Decision Fatigue |
| 13) | Exam 2 |
| 14) | The Future of Managerial Decision Making with AI |
| 15) | Final Examination Period |
| 16) | Final Examination Period |
| Required/Recommended Readings | Required:
The required textbook is available through Blackboard | |||||||||||||||
| Teaching Methods | Videos, articles, presentations, cases, guest speakers. The students are expected to come each session having read and watched the course material. The course involves cases, quizzes, homework, and exams. Students are expected to engage in the class discussion and apply the knowledge acquired in a team setting. | |||||||||||||||
| Homework and Projects | Homework, if assigned, must be submitted on time and in the requested format. Quizzes/in-class exercises may or may not be announced and can be cumulative in terms of coverage or may cover material from the upcoming topic only. Missed homework and missed quizzes will result in a score of 0. | |||||||||||||||
| Laboratory Work | None | |||||||||||||||
| Computer Use | Each session requires use of Blackboard; therefore, use of a computer is a must. | |||||||||||||||
| Other Activities | Guest speakers may be invited for giving practical aspects of related theoretical concepts. | |||||||||||||||
| Assessment Methods |
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| Course Administration |
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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 | 2 | 3 | 1 | 84 | ||
| Homework Assignments | 5 | 4 | 20 | ||||
| Midterm(s) | 1 | 10 | 10 | ||||
| Final Examination | 1 | 12 | 2 | 14 | |||
| Total Workload | 128 | ||||||
| Total Workload/25 | 5.1 | ||||||
| ECTS | 5 | ||||||