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Updated in [August 31st, 2023]

Skills and Knowledge:
By the end of this course, students will have acquired the following skills and knowledge:
1. Understanding of game theory and its applications in economics, biology, engineering, and cyber security.
2. Ability to analyze complex systems involving multiple decision makers.
3. Knowledge of dynamic and sequential games and their extensive-form representation.
4. Understanding of bounded rationality and imperfect decision making and information.
5. Proficiency in using Gambit, a software program used to solve games.

Professional Growth:
This course contributes to professional growth by providing students with the tools to analyze complex systems involving multiple decision makers. By learning the fundamentals of game theory, students will gain a better understanding of how to analyze and solve problems in a variety of fields. Additionally, the course will provide students with the skills to use Gambit, a software program used by theoreticians to solve games. This will give students the ability to apply game theory to real-world problems and make informed decisions.

Further Education:
This course on Game Theory II- Dynamic Games would be suitable for preparing for further education. Game theory is a widely applicable quantitative tool that is used in various fields, including economics, biology, engineering, and cyber security. Understanding game theory and its applications can provide a strong foundation for further studies in these areas. Additionally, this course specifically covers topics such as dynamic and sequential games, bounded rationality, imperfect decision making, and information, which are important concepts in game theory.