Who is this class for: This course is based on advanced undergraduate and masters level material and is aimed at researchers, students, and practitioners who wish to learn more about game theory and mechanism design. This course is a follow up to our first Game Theory course, and it presumes that the students are comfortable with the material from that course. You must be also comfortable with mathematical thinking and rigorous arguments. Relatively little specific math is required; however the course involves some probability theory (for example, you should know what a conditional probability is) and some calculus.


Created by:   Stanford University, The University of British Columbia

  • Matthew O. Jackson

    Taught by:    Matthew O. Jackson, Professor

    Economics

  • Kevin Leyton-Brown

    Taught by:    Kevin Leyton-Brown, Professor

    Computer Science

  • Yoav Shoham

    Taught by:    Yoav Shoham, Professor

    Computer Science

LevelAdvanced
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.8 stars
Average User Rating 4.8See what learners said
Syllabus

FAQs

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How It Works
Coursework
Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

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Help from Your Peers

Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.

Certificates
Certificates

Earn official recognition for your work, and share your success with friends, colleagues, and employers.

Creators
Stanford University
The Leland Stanford Junior University, commonly referred to as Stanford University or Stanford, is an American private research university located in Stanford, California on an 8,180-acre (3,310 ha) campus near Palo Alto, California, United States.
The University of British Columbia
The University of British Columbia is a global centre for research and teaching.
Ratings and Reviews
Rated 4.8 out of 5 of 73 ratings

Great course. Nice retracing of some notions of the course Game Theory like Pareto Oprimality. Nice idea doing some examples on auctions and voting systems. Nice proofs

I belive that this course is usefull in computer science research, the discipline might allow us to explore alternative solutions from other approaches. Excellent instructors, excellent course! Thanks Coursera!

Very nice

5 out of 5!

I managed to finish this course in just 6 days. Pretty fascinating and practical, as it is more in depth.

Would totally recommend this to anyone who wants to know more about Game Theory. Assessments are easy relatively; a balanced number of practical calculations and theoretical questions.

All 3 instructors are friendly and experienced in lecturing, which helps a lot in understanding the materials.

:)