Game Theory (PEC4107.01)

Lopamudra Banerjee

This course is an introduction to game theory and strategic modes of decision making. We explore how the framework provide a way for us to think about incentives and interdependence shaping social behavior. We develop the basic ideas of Nash equilibrium and Pareto efficiency, and explore some of the well-known models used to analyze choice in strategic contexts, including coordination games, hawk-dove games, prisoner’s dilemma and trust games.

The course has two requirements: [a] Class participation based on deep reading of assigned materials, and [b] problem sets and related assignments. [You should not miss a class. Before coming to class, you must engage carefully with the assigned materials, and you must participate seriously in class discussions. Also, you must complete all problem sets and submit them for discussions in a timely manner.]

This is an advanced-level course designed for students in their third and fourth years of college. Students in their second year may also join in with the prior approval of the instructor. We will explore the key concepts in the course verbally and through written expositions, and use mathematical formulations to express the ideas in formal terms. For this, prior knowledge of algebra is required and expected. Some prior knowledge of statistical theory/applications will be advantageous. Additionally, prior knowledge of economics is necessary to take this course.

Learning Outcomes:
The course is designed to [1] help students gain a critical understanding of core principles of game theory and apply them to a wide range of real-world issues, and [2] guide them in formulating their own analytical questions as they expand their knowledge through active, self-determined investigation. Throughout this course, students will expand their capabilities for economic reasonings, and progress in their capacities to inquire, engage and communicate.

Delivery Method: Hybrid
Prerequisites: At least one 2000-level course in economics. Prior knowledge of algebra is expected and some familiarity with probability theory analyses is desirable. Some prior knowledge of statistical theory/applications will be advantageous. Also, approval of course instructor is required (contact: Prioritization of registration | Students should email the course instructor with an expression of interest, and explain [in few sentences] [a] why they are interested in this course, [b] if the course fit with their academic plan, and, if yes, then how, [c] if they fulfill the prerequisites for the course and what courses [that would satisfy the prerequisite criterion] have they taken before [stating the course name and level of prior courses in economics/political economy, SCT, mathematics etc]. The emails should be received by December 31st 2023.
Course Level: 4000-level
Credits: 4
M/Th 10:00AM - 11:50AM (Full-term)
Maximum Enrollment: 12
Course Frequency: Every 2-3 years

Categories: 4000 , All courses , Four Credit , Hybrid , Political Economy
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