Meeting Time: TR 12:50-2:35pm
Dr. Ladd’s Student Drop-In Hours: M 1–3pm & Th 11am-12pm in TECH 201
or email for appointment, jladd@washjeff.edu
Course Description¶
What do your brain’s neurons, Google’s search algorithm, an ant colony, and the characters on House of the Dragon all have in common? Network analysis can help us understand all of them. In this project-based course on networks, you’ll develop the foundational skills of this advanced data analysis topic as you apply network models and techniques to a wide variety of domains and disciplines. You’ll also learn to use popular network software and to analyze networks with code. You will extend your programming and modeling skills in this course as you learn the ropes of this special kind of data analysis.
Learning Goals¶
At the end of this course, you should be able to:
Identify the basic types of networks and understand the techniques used to determine their structure.
Outline the history of network analysis and its relationship to global economic, political, and social trends.
Enhance the analysis and comprehension of networks with visualization.
Develop network models appropriate to specific knowledge domains.
Analyze complex problems in a number of disciplines with network models.