نام درس :
( Behavioral Science for Policymaking)
کد درس :
44583
تعداد واحد :
3
مقطع :
کارشناسی ارشد
پیشنیاز :
-
همنیاز :
-
اهداف
سرفصلها
The course will cover various decision-making processes and theories related to cognition and behavior. We will discuss myopia, escalation of commitment, individual versus group decisions, decision-making in gains versus losses contexts, decisions when probabilities are low, moderate, or high, decisions regarding saving and borrowing, and decisions based on our experience and memory. We will also examine the impact of hunger on decision-making.
منابع
Week 2: Decision Biases Versus Decision Errors. The Effect of Experience
Week 3: How Do We Think?
Week 4: How Judgment Happens? The Framing Effect.
Week 5: Heuristics and Biases.
Week 6: Heuristics and Biases
Week 7: Escalation of Commitment
Week 8: Overconfidence
Week 9: What Rules Govern People’s Choices between Risky Options and Sure Alternatives? Myopic Choices
Week 10: Prospect Theory, the Endowment Effect, Low vs. High Probability Events
Week 11: Two Selves: Experiencing and Remembering Selves Negotiations
Week 12: Following the Herd. When Do We Need a Nudge? Choice Architecture. But Wait, There’s More
Week 13: #Sluge. Save More Tomorrow. Do Nudges Last Forever? Perhaps in Sweden. Borrow More Today: Mortgages and Credit Cards.
Week 14: Insurance: Don’t Sweat the Small Stuff. Organ Donations. Saving the Planet. Much Ado About Nudging
Week 15: Group versus Individual Decisions. Decisions When Hungry. Motivational and Emotional Influences on Decision-Making. Fairness and Ethics in Decision-Making
Week 16: Bounded Awareness. Makeup Materials and Review
- Robbins, S. P., & Judge, T. A. (2020). Organizational Behavior. Pearson
Neck, C. P., Houghton, J. D., & Murray, E. L. (2019). Organizational Behavior: A Skill-Building Approach. London: Sage
یادگیری ماشین مالی
یادگیری ماشین مالی
Financial
Machine Learning
هدف کلی
آموزش استفاده از هوش مصنوعی در اقتصاد مالی و مدیریت سرمایهگذاری
اهداف ویژه
یادگیری کاربردهای یادگیری ماشین در حل مسائل مالی
فهم ارتباط
بین یادگیری ماشین در تحلیل دادههای مالی و اقتصاد سنجی
سرفصلها
معرفی یادگیری ماشین
مقایسه میان روشهای اقتصادسنجی و یادگیری
ماشین مالی
ساختار دادههای مالی
برچسبگذاری
مدلهای
جمعی (ترکیبی)
اعتبارسنجی مالی
انتخاب ویژگی
همبستگی
خوشهبندی
مراجع
Ng, Andrew (2001). Machine Learning
Notes. Stanford University
Matthew F. Dixon, Igor Halperin, and
Paul Bilokon (2020) Machine Learning in Finance: From Theory to
Practice, Springer
De Prado, Marcos (2020). Machine Learning for
Asset Managers
De Prado, Marcos (2018). Advances in Financial
Machine Learning.Course Design
