此课程适用人群: 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.


制作方:   斯坦福大学, The University of British Columbia

  • Matthew O. Jackson

    教学方:    Matthew O. Jackson, Professor

    Economics

  • Kevin Leyton-Brown

    教学方:    Kevin Leyton-Brown, Professor

    Computer Science

  • Yoav Shoham

    教学方:    Yoav Shoham, Professor

    Computer Science
级别Advanced
语言
English
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用户评分
4.8 stars
Average User Rating 4.8查看学生的留言
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制作方
斯坦福大学
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.
评分和审阅
已评分 4.8,总共 5 个 76 评分

Overall, the course was good. Somehow, the concepts were not as clear as the basic game theory course. Definitely more advanced.

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