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Game theory is a study of mathematical models of conflict which makes it useful for economic applications. It is also known as multi-person decision theory which analyzes situations based on the payoff of a decision in several fields like economics, law, biology, etc.
You are expected to learn from this [course_title] the related topics of game theory. You are provided with the basic tools used for game theoretic analysis to enumerate its applications.
Assessment
This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.
Certification
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Course Credit: MIT
Course Curriculum
Introduction | 00:10:00 | ||
Decision Theory | 00:30:00 | ||
Representation of Games | 01:00:00 | ||
Dominance | 00:20:00 | ||
Rationalizability | 00:25:00 | ||
Nash Equilibrium | 00:25:00 | ||
Application Imperfect Competition | 00:25:00 | ||
Further Applications | 00:20:00 | ||
Backward Induction | 00:35:00 | ||
Application Negotiation | 00:30:00 | ||
Subgame-Perfect Nash Equilibrium | 00:30:00 | ||
Repeated Games | 01:00:00 | ||
Application Implicit Cartels | 00:25:00 | ||
Static Games with Incomplete Information | 00:20:00 | ||
Static Applications with Incomplete Information | 01:00:00 | ||
Dynamic Games with Incomplete Information | 01:00:00 | ||
Assessment | |||
Submit Your Assignment | 00:00:00 | ||
Certification | 00:00:00 |
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