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Game Theory Course By Matthew O. Jackson

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17 hour 17 hours
Beginner
English
Course teacher: Matthew O. Jackson

What are you going to get

Introduction and Overview

Mixed-Strategy Nash Equilibrium

Alternate Solutions Concepts

Extensive Form Games

Repeated Games

Bayesian Games


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Course description

Game Theory Course: Immerse yourself in the fascinating world of game theory with this comprehensive course. Popularized by movies like "A Beautiful Mind," game theory is the mathematical modeling of strategic interactions among rational and irrational agents. It goes beyond traditional games such as chess and poker, encompassing conflicts between nations, political campaigns, corporate competition, and market dynamics in platforms like the NYSE.

Course Highlights: This course covers the essential concepts and techniques of game theory, equipping you with a solid foundation. You will learn how to represent games and strategies, explore the extensive form (commonly known as game trees in computer science), delve into Bayesian games to model auctions, and gain insights into repeated and stochastic games. Through a diverse range of examples, including classic games and real-world applications, you will develop a deeper understanding of this captivating field.

Practical Applications: Game theory finds relevance in various domains, including economics, politics, and social sciences. By grasping the fundamentals of game theory, you will be able to analyze strategic interactions and understand the incentives that drive decision-making processes. This knowledge will enable you to model complex scenarios such as keyword auctions and peer-to-peer file-sharing networks, providing valuable insights into human behavior and optimizing outcomes in competitive settings.

The following are the assignments that are covered in this course:

  • Week 1: Introduction and Overview
  • Week 2: Mixed-Strategy Nash Equilibrium
  • Week 3: Alternate Solutions Concepts
  • Week 4: Extensive Form Games
  • Week 5: Repeated Games
  • Week 6: Bayesian Games
  • Week 7: Coalitional Games
  • Week 8: Final Exam

The number 1 reason people take this program

It gives me the challenge to learn a new concept to start a new journey for my professional carriers. this course shows the right paths for my professional project.

Most heard feedback on this program

Gives great deal of insight into the subject.

About the instructor

Matthew O. Jackson

Matthew O. Jackson is the William D. Eberle Professor of Economics at Stanford University, an external faculty member of the Santa Fe Institute, and a senior fellow of CIFAR (the Canadian Institute for Advanced Research). Jackson's research interests include game theory, microeconomic theory, and the study of social and economic networks, on which he has published many articles and the book Social and Economic Networks. He has served as co-editor of Games and Economic Behavior, the Review of Economic Design, and Econometrica.

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17 hour 17 hours
Beginner
English
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