Advanced Topics in Statistical Physics (460-0-1)
Instructors
Adilson E Motter
847/491-4611
Technological Institute Building (2145 Sheridan Road), Room F-323, Evanston
Meeting Info
Technological Institute L168: Tues, Thurs 3:30PM - 4:50PM
Overview of class
Networks that govern communication, growth, epidemic spreading, information processing, and other key processes in physical, biological, and social systems are becoming increasingly amenable to modeling, forecast, and control. This course will present students with foundational aspects of network theory required to study these systems. The course will explore relations with data science, statistical mechanics, and dynamical systems, and will cover topics ranging from emergent dynamics to the curse of dimensionality. The learning objectives are centered on understanding and applying network concepts and tools to describe the properties and behavior of complex systems across various domains.
Registration Requirements
The course will be structured as a first comprehensive exposure to network science. The course is open to Ph.D. students from physics, applied physics, applied mathematics, and engineering with basic programming experience and undergraduate-level training in statistical mechanics and/or dynamical systems. The course is also open to undergraduate physics and ISP students with advanced preparation.
Class Materials (Required)
In contrast with previous years, the Fall 2024 course will follow this book:
Mark Newman, Networks, 2nd Edition (Oxford University Press, 2018), ISBN-13: 978-0198805090.
Class Notes
Students from other programs may be admitted with instructor permission.