KJhole.com
Complex Network Course

Lectures: 12 weeks with two sessions per week and 1.5 hours per session.
Exam: Oral
Syllabus: Spring 2014 (PDF)
Lecture notes: Introduction to network analysis and two cases studies: robustness to malware epidemics and targeted infrastructure attacks.
Assignments: Programing of dynamic network models and visualization of networks.
Tools: NetLogo and Gephi.

Contents: This course introduces mathematical theory, agent-based simulation tools, and interactive visualization software to analyze complex networked systems.

Topics covered include random graphs, the small-world model, and the preferential attachment model; cellular automata models; computer algorithms to evaluate network properties; experimental studies; evolutionary game theory; and large-impact, hard-to-predict, and rare events in net-centric systems.

The course is based on material found in the textbooks on the right and articles posted on the bulletin board. Required reading must be done before class. In-class time will be divided between lectures, discussions, and programming exercises.

Recommended qualifications: Basic knowledge of graphs and statistics.

Last updated 10.05.13. Webmaster KJH