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    Polad
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    Microeconomics Theory: Game Theory and Its Applications

    This class is an advanced microeconomics course, helping students in specializing in the field of Game Theory. The topics cover in-depth analysis of the games both under perfect information and imperfect information; the notions of dominance iterated elimination of dominated strategies; best response and Nash equilibrium; rationalizability; undominated Nash equilibrium; mixed strategy Nash equilibrium; Bayesian Nash equilibrium; backward induction; subgame perfect Nash equilibrium; perfect Bayesian equilibrium; signaling games; repeated games; other refinements. Further, some real-life applications of the strategic situations faced in auctions, bargaining, and voting will be analyzed.

    Location

    At student's location: Around Budapest, Hungary

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    General info

    Age:
    Teenagers (13-17 years old)
    Adults (18-64 years old)
    Seniors (65+ years old)
    Student level:
    Intermediate
    Advanced
    Duration:
    60 minutes
    The class is taught in:English, Turkish, Azerbaijani

    About Me

    Teaching is more than just an income source for me. I particularly enjoy teaching and planning to build my career on it.
    My teaching methods are based on revisions. I believe revision is the mother of learning. At the end of the semester (sessions) student will not forget what (s)he learned at the beginning.

    Education

    I graduated from Central European University in Hungary with a 3.4 GPA with a master's degree in Economics. Previously, I studied Economics at ADA University in Azerbaijan and graduated with a 3.56 GPA

    Experience / Qualifications

    I was a Teaching Assistant at ADA University for three years for the class size of 30 to 70 students. I also taught mathematics at one of the private schools in Azerbaijan in English. for a year for the students aged 7-16
    Mathematics is one of the fundamental subjects of nature. Having a profound knowledge of the subject can allow you to understand and study natural phenomena better. You can model the natural phenomena better using mathematics. At the end of the course, you will be able to solve complex mathematical equations, model the problems in a mathematical way, and find optimal solutions for them.

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    Good-fit Instructor Guarantee


    If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

    Online reputation

    • Instructor since January 2021
    • Google connected

    Availability of a typical week

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    Good-fit Instructor Guarantee


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