Fall 2022 Course Descriptions
CS 142-01G Network Science
Mathematical foundations of the study of graphs and networks that arise as social, biological and Internet networks. Random graph models, community structure and inference problems, network dynamics, cascading. Example networks drawn from the application domains will be case studies as a companion to the general mathematical theory.
Approved as a category 2 elective in Data Science (analysis and interfaces).
Prerequisite: Recommendations: MATH 70 or 72 or CS 135 or 160