Coursera networksonline 2015
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Sivarat Malapet successfully completed the free online course "Social and Economic Networks: Models and Analysis" provided by Stanford University through Coursera on March 11, 2014. The graduate-level course introduced students to random graph models, statistical models, and game theoretic models for analyzing social and economic networks, including network formation, diffusion, learning, and peer effects. The statement does not confer a Stanford grade, credit, or degree to Sivarat Malapet.
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Social and Economic Networks: Models and Analysis
This graduate-level course introduces students to a variety of models and techniques for analyzing social and economic networks, including random graph models, statistical models, and game theoretic models of network formation, diffusion, learning, and peer effects.
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Social and Economic Networks: Models and Analysis
This graduate-level course introduces students to a variety of models and techniques for analyzing social and economic networks, including random graph models, statistical models, and game theoretic models of network formation, diffusion, learning, and peer effects.
Social and Economic Networks: Models and Analysis
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Franklin Yohan Alvarez Cardinale successfully completed an online course through Coursera titled "Game Theory II: Advanced Applications" provided by Stanford University and the University of British Columbia. The advanced course covered key applications of game theory including social choice, mechanism design, and auctions. It was taught by Professor Matthew O. Jackson of Stanford University, Associate Professor Kevin Leyton-Brown of the University of British Columbia, and Professor Yoav Shoham of Stanford University.
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Coursera networksonline 2015
- 1. Online Course Statement of Accomplishment MARCH 11, 2014 SIVARAT MALAPET HAS SUCCESSFULLY COMPLETED A FREE ONLINE OFFERING OF THE FOLLOWING COURSE PROVIDED BY STANFORD UNIVERSITY THROUGH COURSERA INC. Social and Economic Networks: Models and Analysis This graduate-level course introduces students to a variety of models and techniques for analyzing social and economic networks, including random graph models, statistical models, and game theoretic models of network formation, diffusion, learning, and peer effects. MATTHEW O. JACKSON PROFESSOR OF ECONOMICS STANFORD UNIVERSITY PLEASE NOTE: SOME ONLINE COURSES MAY DRAW ON MATERIAL FROM COURSES TAUGHT ON CAMPUS BUT THEY ARE NOT EQUIVALENT TO ON-CAMPUS COURSES. THIS STATEMENT DOES NOT AFFIRM THAT THIS PARTICIPANT WAS ENROLLED AS A STUDENT AT STANFORD UNIVERSITY IN ANY WAY. IT DOES NOT CONFER A STANFORD UNIVERSITY GRADE, COURSE CREDIT OR DEGREE, AND IT DOES NOT VERIFY THE IDENTITY OF THE PARTICIPANT.