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Information Network Course

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. Webmaster KJH