MATH 3090U – Network Science and Applications

This course is an introduction to the field of network science with an emphasis on the mathematical aspects and properties of networks. Topics include graph theory, random networks, the scale-free property, complex network models, network robustness, community detection, and spreading phenomena, while also considering applications of network science in fields such as biology, chemistry, economics, sociology, computer science, and physics.
Credit hours: 3
Lecture hours: 3
Laboratory hours: 0
Tutorial hours: 0
Other hours: 0
Prerequisite(s): MATH 2080U or CSCI 2110U
Recommended: MATH 2050U