Friends, computers, the Web, and our brain are examples of networks that pervade our lives. Network science helps us understand complex patterns of connection, interaction, and relationships in many complex systems. Students learn about basic networks analytic tools, using increasingly complex models and data from social, infrastructure, and information networks.
Prerequisites
I201, I210, I211, and I308 for Informatics students. The course is also open to advanced undergraduates in Computer Science, Cognitive Science, Statistics, Psychology, Biology, Sociology, Communications, and Physics. Students from these other programs should seek instructor permission. Programming experience (in any language) and exposure to probability theory, statistics, calculus, and discrete math are highly recommended.
Lecture
TR at 2:30P-3:45P in I2 (Informatics East) 130
Instructors
Filippo Menczer (Office Hours: M 3-4p, Tu 4-5p in Informatics East 314)
AI: Jasleen Jaur (Office Hours: W-Th 1-2p in Informatics East 322B)
Contact
Use Oncourse Forums for class related questions and communications. Email instructors directly only for personal matters.
Software
If you have a notebook or desktop computer, please install some free, open source software that we will use for exercises and assignments:
