Network Science 201, Fall 2017

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.

Instructors:
Prof. Ambuj Singh

Registration Information:
Computer Science 292F (CMPSC 292F)
Tues & Thurs, 9:00 am - 10:50 am
Phelps Hall, Room 2510