Courses from 1000+ universities
Analyzing edX’s latest tax returns offers valuable insights and context for its acquisition motivations.
700+ Free Google Certifications
Greek and Roman Mythology
Exploring English: Language and Culture
Machine Learning for Musicians and Artists
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Santa Fe Institute is an interdisciplinary research center devoted to understanding complexity and harnessing it to make the world smarter, healthier, and more sustainable.
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 will explore how to use agent-based modeling to understand and examine a widely diverse and disparate set of complex problems.
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 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 s…
This course provides a conceptual introduction to the new and exciting field of Algorithmic Information Dynamics focusing on mathematical and computational aspects in the study of causality.
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.
Get personalized course recommendations, track subjects and courses with reminders, and more.