Introduction to Game Theory and Information Economics

In a world of strategic interactions, every choice you make depends on the decisions of others. Whether you are analyzing business competition, policy design, or market negotiations, understanding game theory and information economics is essential for predicting outcomes and making optimal choices. This course guides you from foundational concepts to advanced strategic scenarios, helping you decode complex decision-making environments. You will transition from recognizing basic strategic interactions to solving complex games with incomplete information, giving you the analytical tools to navigate real-world economic scenarios. What you'll learn: - Understand foundational concepts of game theory, including players, strategies, and payoffs - Solve for Nash Equilibrium in both pure and mixed strategies - Analyze sequential moves using backward induction and subgame perfect equilibrium - Evaluate games of asymmetric information, including adverse selection and moral hazard - Apply signaling and screening models to resolve information imbalances - Explore modern applications of mechanism design and auction theory This text-based course begins with essential definitions and mathematical foundations before guiding you through interactive scenario analyses and practical economic applications. You will learn to model strategic behavior step-by-step through clear written explanations and structured analytical exercises. This course is designed for beginners, aspiring economists, business strategists, and decision-makers who want a solid foundation in strategic thinking. No prior background in advanced mathematics or economics is required. Start reading today to master the strategic principles that govern markets and human interaction.