In this re-offering of our popular introductory course, you'll learn about the tools used by scientists to understand complex systems.

Complexity Explorer is a web-based repository of educational materials related to complex systems science. Currently under development by researchers and educators at the Santa Fe Institute and Portland State University, Complexity Explorer will host SFI’s online courses, as well as an extensive complex systems glossary and easily searchable databases of syllabi, citations, and other resources related to complex systems topics. Complexity Explorer will also host a “Virtual Laboratory” consisting of open-source simulation programs illustrating complex systems ideas, theories, and tools, accompanied by curricula designed for both teachers and independent learners who want to take advantage of these simulations. All content of the Complexity Explorer website will be open to anyone.

More info here.

Oct 3rd 2016

In this re-offering of our popular introductory course, you'll learn about the tools used by scientists to understand complex systems.

Sep 1st 2016

This course provides a broad introduction to the field of nonlinear dynamics, focusing both on the mathematics and the computational tools that are so important in the study of chaotic systems. The course is aimed at students who have had at least one semester of college-level calculus and physics, and who can program in at least one high-level language (C, Java, Matlab, R, ...).

Sep 1st 2015

We will begin by viewing fractals as self-similar geometric objects such as trees, ferns, clouds, mountain ranges, and river basins. Fractals are scale-free, in the sense that there is not a typical length or time scale that captures their features. A tree, for example, is made up of branches, off of which are smaller branches, off of which are smaller branches, and so on. Fractals thus look similar, regardless of the scale at which they are viewed. Fractals are often characterized by their dimension. You will learn what it means to say that an object is 1.6 dimensional and how to calculate the dimension for different types of fractals.

Self Paced

This tutorial covers several mathematical techniques that are frequently used in complex systems science. The techniques are covered in independent units, taught by different instructors. Each unit has its own prerequisites. Note that this tutorial is meant to introduce students to various important techniques and to provide illustrations of their application in complex systems. A given unit is not meant to offer complete coverage of its topic or substitute for an entire course on that topic.

Jan 5th 2015

In this course you'll gain an introduction to the modern study of dynamical systems, the interdisciplinary field of applied mathematics that studies systems that change over time.