Game Theory Course Syllabus

Full curriculum breakdown — modules, lessons, estimated time, and outcomes.

Overview of game theory concepts and their relevance to strategic decision-making in economics, politics, and everyday life. This course is structured into six modules, each requiring approximately 17 hours of engagement, totaling around 102 hours. Learners will gain a solid foundation in game theory through a blend of theoretical instruction, practical examples, and applied problem-solving. The course concludes with a final project that integrates key concepts.

Module 1: Introduction to Game Theory

Estimated time: 17 hours

  • Fundamentals of Game Theory
  • Mathematical modeling of strategic interaction
  • Role of rational and irrational agents
  • Real-world applications of game theory

Module 2: Game Representation

Estimated time: 17 hours

  • Normal form representation of games
  • Extensive form and game trees
  • Analyzing payoffs and strategies
  • Strategic vs. sequential decision-making

Module 3: Nash Equilibrium and Applications

Estimated time: 17 hours

  • Definition and significance of Nash Equilibrium
  • Finding equilibria in static games
  • Applications in auctions and market behavior
  • Negotiation scenarios and equilibrium outcomes

Module 4: Bayesian Games

Estimated time: 17 hours

  • Games with incomplete information
  • Bayesian methods in game modeling
  • Beliefs and expected payoffs under uncertainty
  • Applications in signaling and screening games

Module 5: Repeated and Stochastic Games

Estimated time: 17 hours

  • Dynamics of repeated interactions
  • Strategies for cooperation and defection
  • Stochastic (random) elements in games
  • Long-term strategic planning in uncertain environments

Module 6: Final Project

Estimated time: 17 hours

  • Apply game theory to a real-world negotiation scenario
  • Analyze strategic decisions in market or policy contexts
  • Submit a written report with equilibrium analysis and recommendations

Prerequisites

  • Basic understanding of algebra and probability
  • Familiarity with logical reasoning and analytical thinking
  • No prior knowledge of game theory required

What You'll Be Able to Do After

  • Model strategic interactions using game theory frameworks
  • Identify and compute Nash Equilibria in various scenarios
  • Analyze decision-making under incomplete information
  • Apply game-theoretic reasoning to auctions, markets, and negotiations
  • Design strategies for repeated and stochastic environments
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