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Complexity Explorer is an online education platform that offers free, interactive courses and resources on complex systems research.
In this course you'll learn about the tools used by scientists to understand complex systems. The topics you'll learn about include dynamics, chaos, fractals, information theory, self-organization, agent-based modeling, and networks.
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.
This course is intended for anyone who is interested in an overview of how ideas from fractals and scaling are used to study complex systems. The course will make use of basic algebra, but potentially difficult topics will be reviewed, and help is avail…
This course 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 course is me…
This tutorial contains excerpts from David Feldman's Dynamical Systems course.
This tutorial provides a modern introduction to renormalization from a complex systems point of view.
This tutorial introduces fundamental concepts in information theory.
In this tutorial, Simon DeDeo introduces MaxEnt through a series of examples, taking students from the basics of the subject up to its applications in science and engineering
This tutorial will present you with the basics of how to use NetLogo to create an agent-based modeling.
This course is designed to provide a high-level introduction to static, non-cooperative game theory.
In this tutorial, Dr. Artemy Kolchinsky and Dr. Brendan Tracey outline exactly what it is that makes machine learning so special in an accessible way.
The goal of this tutorial is to outline some elementary, but beautiful aspects of random walks.
This tutorial contains excerpts from Elizabeth Bradley's Nonlinear Dynamics course.
This tutorial introduces students to essential ideas related to vectors and matrices.