Lectures: 12 weeks with two sessions per week and 1.5 hours per session.
Exam: Oral
Syllabus: Spring 2012 (PDF)
Lecture notes: Introduction to network analysis (19MB) and two cases studies: modeling of computer worm epidemics and risk analysis of UiB's grade management system.
Assignments: Visualization of networks and programing of dynamic network models.
Tools: Gephi and NetLogo.
Contents: This course introduces mathematical theory, agent-based simulation tools, and interactive
visualization software to analyze technological networks, particularly the Internet.
Topics covered will include random graphs, the small-world model, and the preferential attachment model; cellular
automata models; computer algorithms to evaluate network properties; experimental studies of technological networks;
and risk analysis of large-impact, hard-to-predict, and rare events in net-centric systems.
The course is based on material found in research 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, statistics, and risk assessment.
Last updated 22.01.12.
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