Welcome to Game Theory Course Syllabus

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

Overview: This course offers a rigorous and insightful introduction to game theory, designed for beginners with an interest in strategic decision-making. Over six modules spanning approximately six weeks, learners will explore foundational concepts such as Nash equilibrium, dominant strategies, and backward induction. Each module combines clear theoretical explanations with hands-on applications, requiring roughly 4–6 hours per week. The course concludes with a practical case study project, allowing learners to apply game-theoretic reasoning to real-world scenarios in economics, business, and social interactions. Lifetime access ensures flexible, self-paced learning.

Module 1: Introduction to Game Theory

Estimated time: 5 hours

  • Players, strategies, and payoffs
  • Rationality assumptions in strategic decision-making
  • Basic structure of games
  • Constructing simple game models

Module 2: Dominant Strategies & Nash Equilibrium

Estimated time: 5 hours

  • Dominant and dominated strategies
  • Pure strategy Nash equilibria
  • Strategic stability in static games
  • Analyzing strategic interactions using equilibrium concepts

Module 3: Extensive Form & Backward Induction

Estimated time: 5 hours

  • Game trees and sequential moves
  • Modeling multi-stage games
  • Backward induction method
  • Subgame perfection and credibility

Module 4: Mixed Strategies

Estimated time: 5 hours

  • Randomization in strategic choices
  • Probability in decision-making
  • Mixed strategy Nash equilibria
  • Solving games without pure strategy solutions

Module 5: Repeated Games & Reputation

Estimated time: 5 hours

  • Finite and infinite horizon games
  • Cooperation in long-term interactions
  • Tit-for-tat and other repeated game strategies
  • Reputation and strategic behavior over time

Module 6: Applications of Game Theory

Estimated time: 6 hours

  • Case study: Auctions and bidding strategies
  • Analysis of voting systems
  • Oligopoly pricing and business negotiations
  • Introduction to evolutionary game theory

Prerequisites

  • Familiarity with basic algebra and mathematical reasoning
  • Basic understanding of probability concepts
  • No prior knowledge of game theory required

What You'll Be Able to Do After

  • Analyze strategic situations using game-theoretic models
  • Identify Nash equilibria in static and dynamic games
  • Apply backward induction to sequential decision problems
  • Evaluate cooperation and competition in repeated interactions
  • Solve real-world problems in economics, business, and policy using game theory
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