School: University of Pennsylvania
Registration Link: Networked Life
Start Date: September 1, 2014 (7 Weeks)
Workload: 1-3 Hours Per Week
Instructor: Michael Kearns
Credentials: Professor Kearns specializes in the areas of game theory, artificial intelligence, computational finance, and social networking. A member of the university’s Computer and Information Science department, Kearns also teaches statistics and information management courses at the Wharton school. He is the founding director of the school’s Market and Social Systems Engineering program.
Graded: Students will receive a Statement of Accomplishment for successfully completing the course.
Description: Ever hear the term, “six degrees of separation?” It’s more than a cliché. In fact, it is a pattern based on a science that integrates computer science, mathematics, sociology and economics. In this course, students will study the structural properties underlying network patterns from various origins. In particular, this course will emphasize how data points scale, interact, and connect with each other to form a pattern – and the cumulative impact that these complex variables have on influence, behavior, and outcomes. Using case studies in areas like social networking, search engine algorithms, voting patterns, and global supply chains, students will learn how patterns emerge and evolve over time.
Review: “I had some prior experience with this (Model Thinking course), but still got useful information from this course. It is a great, compact course giving a good introduction to Networks. The lectures are interesting, but the best part is that all videos and quizzes are available from day 1, so if you have done some of this before, you can move through the course quickly at your own pace. I wish more courses would offer this method.” For additional reviews, click here.
Additional Note: Stanford University offers a similar course called Social and Economic Networks: Models and Analysis, which starts on September 21. To register, click here.
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