6.268 Network Science and Models

Class Info

Introduces the main mathematical models used to describe large networks and dynamical processes that evolve on networks. Static models of random graphs, preferential attachment, and other graph evolution models. Epidemic propagation, opinion dynamics, social learning, and inference in networks. Applications drawn from social, economic, natural, and infrastructure networks, as well as networked decision systems such as sensor networks.

This class has 6.041B, and 18.06 as prerequisites.

6.268 will not be offered this semester. It will be available in the Spring semester, and will be instructed by P. Jaillet and J. N. Tsitsiklis.

Lecture occurs 9:30 AM to 11:00 AM on Tuesdays and Thursdays in 4-149.

This class counts for a total of 12 credits.

You can find more information at the http://www.google.com/search?&q=MIT+%2B+6.268&btnG=Google+Search&inurl=https site or on the 6.268 Stellar site.

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