INFR 4710U – Social, Information, and Technology Networks

This elective course covers operational knowledge for IT Specialists in the emerging field of complex networks. The course studies commonalities across diverse engineered and physical networks such as computer networks, information networks, and social networks. It focuses on tools, concepts, and methods aimed at understanding the structure and dynamics of complex networks. This course also reviews technologies and methods behind high-impact companies, such as Google, Facebook, etc., that have developed from studying complex networks. Students learn how to measure and predict the structure and dynamics of large-scale networks, measure the robustness of networks against attacks, make networks more robust, predict the dynamics of information cascades or virus propagation, and develop and test our own data-driven hypotheses about networks.
Credit hours: 3
Lecture hours: 3
Laboratory hours: 1.5
Prerequisite(s): INFR 1010U and (INFR 1100U or INFR 1101U)