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Game Theory for Managers
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This half-term course examines the choices that we make which affect others and the choices others make that affect us. Such situations are known as "games" and game-playing, while sounding whimsical, is serious business. Managers frequently play "games" both within the firm and outside it – with competitors, customers, regulators, and even capital markets! The goal of this course is to enhance a student's ability to think strategically in complex, interactive environments. Knowledge of game theory will give students an advantage in such strategic settings. The course is structured around three "themes for acquiring advantage in games": commitment / strategic moves, exploiting hidden information, and limited rationality.

Subject:
Applied Science
Business and Communication
Computer Science
Information Science
Management
Mathematics
Social Science
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
McAdams, David
Date Added:
02/01/2004
Industrial Organization I
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CC BY-NC-SA
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The course provides a graduate level introduction to Industrial Organization. It is designed to provide a broad introduction to topics and industries that current researchers are studying as well as to expose students to a wide variety of techniques. It will start the process of preparing economics PhD students to conduct thesis research in the area, and may also be of interest to doctoral students working in other areas of economics and related fields. The course integrates theoretical models and empirical studies.

Subject:
Economics
Social Science
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Ellison, Glenn
Date Added:
09/01/2013
Topics in Game Theory
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CC BY-NC-SA
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This course is an advanced topics course on market and mechanism design. We will study existing or new market institutions, understand their properties, and think about whether they can be re-engineered or improved. Topics discussed include mechanism design, auction theory, one-sided matching in house allocation, two-sided matching, stochastic matching mechanisms, student assignment, and school choice.

Subject:
Applied Science
Computer Science
Economics
Information Science
Mathematics
Social Science
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Pathak, Parag
Date Added:
09/01/2009