3.00 Credits
Networks and network models arise in many places, from physical complex systems, communications, and electrical circuits, to social science and bioinformatics. This course teaches the common theory of abstract and real-world networks, including models, metrics, visualization, representation, comparison and organization. Students are expected to have basic programming skills and introductory knowledge of linear algebra, probability and statistics before enrolling in this course.