Mathematics 797NS - ST-Networks&SpectralGraphThry

This course provides an introduction to complex networks, their structure, and function, with examples from applied mathematics and social sciences. Topics include spectral graph theory, notions of centrality, random graph models, Markov chains and random walks, cascades and diffusion. We will also introduce wavelet transformation on signals, as well as spectral graph wavelet transform that captures abrupt changes of signals on a network. Students will be able to learn fundamental tools to study networks, mathematical models of network structure and for network data analysis, as well as the theories of processes taking place on networks.

I will work on moving another course to allow this course to be at 11:30 on TuTh