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Language of Instruction
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English
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Level of Course Unit
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Master's Degree
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Department / Program
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DATA SCIENCE
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Type of Program
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Formal Education
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Type of Course Unit
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Elective
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Course Delivery Method
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Face To Face
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Objectives of the Course
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Defining theories of behavioral economics.
Providing knowledge on the fundamental assumptions of neoclassical economics. Showing examples of how behavioral economic theory modified decision making models in economics.
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Course Content
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Course is divided into two parts. The first part focuses on the assumptions of neoclassical/mainstream economics in decision-making of economic agents, assumption of rationality (rational choice) in decision-making mechanisms, behavioral decision theory, social preferences, time preferences, behavioral game theory, bounded rationality and current developments in behavioral economics. The second part covers the historical origins of experimental approaches in economics, constructing and testing hypotheses, theoretical and experimental analysis of individual decisions, social behavior, distribution, experimental analysis of equity and reciprocity, programming of experiments with computer, and laboratory applications.
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Course Methods and Techniques
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Learners will be provided with as much opportunities of hands-on practice as possible with the aim of striking a balance between learner-centeredness and sufficient guidance. Various forms of interaction (i.e. pair work and group work) will also be encouraged to cater for learners with different learning styles. Additionally, individuals will be expected to produce both in-class writings and homework assignments in addition to the reading tasks, which will encourage them to reflect and think critically. Technology will also be incorporated into the classroom procedures in order to create a better learning environment.
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Prerequisites and co-requisities
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None
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Course Coordinator
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None
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Name of Lecturers
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Asist Prof.Dr. Burak Kağan Demirtaş
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Assistants
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None
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Work Placement(s)
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No
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Recommended or Required Reading
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