Introduction to Networks In this course we will explore the ubiquity of networks and the beautiful mathematics that helps us understand them. Together we will cover the basics of graph theory, introduce real world social, informational, and biological networks, explore how information (or a virus) can diffuse or cascade through a network, and learn about popular social and graph phenomena like the six degrees of separation and the friendship paradox. We will utilize jupyter notebooks and python libraries to build a toolset for studying networks and you will have the opportunity to analyze an empirical network using the ideas and tools you develop over the course of this class. No previous coding or mathematical experience is necessary: we will cover all concepts together. Izabel Aguiar is a PhD candidate in Computational and Mathematical Engineering at Stanford University where she is lucky to be advised by Johan Ugander./

Izabel Aguiar

Reviews and ratings for Izabel Aguiar at Middlebury College.Izabel Aguiar teaches Introduction to Networks and more.  Explore top rated instructors and find the best for you.Is Izabel Aguiar good ? Find out on MiddCourses.

Izabel was one of the nicest humans and professors I’ve ever had a class with. She is awesome and always was excited to teach the class. The course work was very relaxed and graded fairly. She brought us snacks at the end

As an older math major, this course was very easy. That being said, the content was excellent. And Izabel is an incredible professor, she brings an unending supply of enthusiasm and passion to her teaching. She teaches clearly and with focus. Her notes and slides are filled with hand drawn illustrations that bring the subject to life. And she frequently has engaging class-wide activities to demonstrate concepts. It is clear she loves to teach. I truly hope she comes back to Middlebury in the future.