Fundamentals of Network Analysis and Data Mining

3 credits · Undergraduate Programs

Introduction to data mining with emphasis on frequent pattern mining, clustering and classification, data collection, network construction, basic graph theory concepts and network analysis metrics, and case studies. Prerequisite(s): Computer Science 471 or Data Science 311. Antirequisite(s): Credit for Computer Science 572 and either 599.77 and 672 will not be allowed.