Intro to Network Science

Catalog description

This course provides an accessible introduction to network science, an emerging field of scientific research that studies various structural/dynamical properties of complex networks. Specific topics to be discussed will include: fundamentals of graph theory, representation of networks, social network analysis, network visualization, random network models, and modeling & simulation of dynamical networks. Python and NetworkX will be used as the primary tools for network analysis and simulation, in addition to other computational tools. Students should have a reasonable amount of experience in Python programming. Course is cross-listed with ISE 441X Prerequisites: Graduate or Senior status, or permission of the instructor. When offered: At least once a year.