Algorithmic Game Theory | Computer Science | Decision-Making

Explore the intersection of computer science, economics, and strategic decision-making in this comprehensive course on Algorithmic Game Theory at the University of Pennsylvania.

Introduction

This course covers the fundamental concepts and techniques in algorithmic game theory, which studies the interplay between algorithms and game theory. It explores how to design and analyze algorithms for strategic environments, where multiple self-interested agents interact.

Highlights

• Covers the core topics in algorithmic game theory, including mechanism design, price of anarchy, and algorithmic aspects of equilibria
• Provides a solid foundation in game theory and its applications to computer science
• Utilizes a hands-on approach with programming assignments and projects
• Taught by experienced instructors from the University of Pennsylvania

Recommendation

This course is highly recommended for students interested in the intersection of computer science, economics, and decision-making. It is suitable for those who want to gain a deeper understanding of how algorithms can be designed and analyzed in strategic environments, and how game theory can be applied to solve real-world problems.

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