Game Theory

This course offers an introduction to game theory and its applications, building on the foundations developed in microeconomic principles. It will provide analytical tools and formal models to explain strategic interactions between rational decision-makers, including concepts of Nash equilibrium, dominant strategies, extensive form games, and Bayesian games. This set of tools is used to understand strategic behavior in international relations. To optimize learning outcomes, this course incorporates artificial intelligence to enhance students' understanding of game-theoretic concepts. These AI tools provide personalized learning, real-time feedback, and practical application support. Finally, this course will help prepare students entering graduate education or starting careers in economics, political science, business strategy, or policy analysis.

Class Information

• Syllabus: Spring 2026
• Discord: Econ Hub
• YouTube: Business School 101

Lecture Notes

• Getting Started with AI Agents
• Lecture 0: What is Economics
• Lecture 1: Basic Strategic Form Games
• Lecture 2: Extensive Form Games
• Lecture 3: Advanced Strategic Form Games
• Lecture 4: Games with Infinite Strategy Spaces
• Lecture 5: Expected Utility Theory
• Lecture 6: Repeated Games
• Lecture 7: Bayesian Nash Equilibrium
• Lecture 8: Perfect Bayesian Equilibrium

🤖 Teaching Assistant

This course includes an AI-powered teaching assistant available 24/7 to help you master concepts, work through problems, and prepare for exams. The digital TA is trained on all course materials and provides personalized learning support.

Getting Started

1. Download this repository (click the green "Code" button → "Download ZIP")
2. Install VS Code (free)
3. Install GitHub Copilot extension (free for students via GitHub Student Developer Pack)
4. Open this folder in VS Code and launch Copilot Chat to start learning!

What the TA Can Do

• Explain concepts with step-by-step clarity
• Guide you through problem-solving
• Answer questions at your own pace, anytime
• Help you prepare for exams

Example Questions

• "Walk me through finding the Nash equilibrium in a 2x2 game"
• "How do I use backward induction to solve an extensive form game?"
• "Help me understand problem 3 from Lecture 4."
• "What's the difference between Bayesian Nash equilibrium and Perfect Bayesian equilibrium?"

Remember: The TA is designed to enhance your learning, not replace it. Use it to deepen understanding while actively engaging with the material.