• Classroom
  • Online, Instructor-Led
  • Online, Self-Paced
Course Description

This course will introduce methods for analyzing and understanding the structure and function of networks, including social networks, web graphs, and sensor networks. The course will introduce students to the math and science of network analysis. Through real world examples, including analysis of their own networks, students will develop skills for describing and understanding the structure, patterns, and functionality of networks. Students will read classic and cutting-edge articles and books about these topics and discuss their applicability to various network types. The class will culminate with a capstone project in which students will apply the analysis methods they have learned to understanding a particular question about a network they choose.

Learning Objectives

Understand to the basic concepts of network analysis (Evaluation: problem sets). Collaborate with peers to apply these methods to a variety of networks (Evaluation: projects). Understand the link between qualitative and quantitative methods of network analysis (Evaluation: short analysis papers)

Framework Connections