MIS551

043533

Network Science is at the heart of some of the most revolutionary technologies of the 21st century, empowering everything from Google to Facebook, CISCO, Netflix, and Amazon. This course will introduce students to quantitative methods in network science used to model, analyze, and understand various complex systems and the unique interactions among their components. Students will learn about emerging graph based network science methods and ultimately apply their knowledge to conduct their own analysis of a large real world complex system with corresponding dataset(s), ultimately integrating networks with prediction models. The course is expected to use Python, GEPHI, and SNAP to construct and analyze large networks.

GRD - Regular Grades A, B, C, D, E

Graduate