COMPSCI 134 - Networks or return to Course Catalog Search
160409 – Section 001
|Faculty of Arts and Sciences||Computer Science||Yaron Singer and Michael Mitzenmacher|
|Term||Day and Time||Location|
|Fall 2018-2019 (show academic calendar)||MW 12:00 p.m. - 1:15 p.m.||Pierce 301 (SEAS)|
4 (show credit conversion for other schools)
Credit in Faculty of Arts and Sciences is equivalent to:
Graduate and Undergraduate
Networks?of social relationships, economic interdependencies, and digital interactions?are critical in shaping our lives. This course introduces models and algorithms that help us understand networks. Fundamental concepts from applied mathematics, microeconomics, and computer science will be presented through the lens of network science, in order to equip students to usefully analyze the ?big data? generated by online networks. Applications discussed include the viral spread of ideas, maximizing influence, and the contagion of economic downturns. Concepts and tools covered include game theory, graph theory, data mining, and machine learning.
Recommended: Linear Algebra, Calculus, probability (either their courses or their equivalents): AM 21a, AM 21b, Statistics 110.
|Eligible for cross-registration|
With permission of instructor/subject to availability
MIT students please cross register from MIT's Add/Drop application.