Complexity Explorer Santa Fe Institute


Course Syllabus

Chaos, Complexity, and Inference

This course will cover some key parts of modern theories of nonlinear dynamics ("chaos") and complex systems, and their connections to fundamental aspects of probability and statistics. By studying systems with many strongly-interacting components, students will learn how stochastic models can illuminate phenomena beyond the usual linear/Gaussian/independent realm, as well as gain a deeper understanding of why stochastic models work at all.

Institution
Carnegie-Mellon University
Author
Cosma Shalizi
Topics
Nonlinear Dynamics, Chaos, Complex Systems, Statistics, Information Theory, Modeling
URL
http://www.stat.cmu.edu/~cshalizi/462/