290A- Big Data and Networks

Number: 
290A
Level: 
Graduate
Units: 
4
Quarter: 
Fall 2014

Description

CS 290A is the first in a new group of courses we are introducing in the broad area of network science research.  This course will focus on fundamental theory and algorithms for working with Big Data and networks. Topics covered will include graph embedding, spanning trees, network flow, random graph models, network formation and evolution, structure and attribute-based search, clustering, partitioning, and distributed dynamical systems.