Santa Fe Institute Courses

Introduction to Complexity

145 reviews

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.

• Complexity Explorer
• 3-6 hours a week, 10 weeks long
• On-Demand
• Free Online Course

• Best of All Time

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.

• Complexity Explorer
• 3-6 hours a week, 10 weeks long
• On-Demand
• Free Online Course

• Best of All Time

This course will explore how to use agent-based modeling to understand and examine a widely diverse and disparate set of complex problems.

• Complexity Explorer
• 15th Jan, 2020
• Free Online Course

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…

• Complexity Explorer
• 2-4 hours a week, 7 weeks long
• On-Demand
• Free Online Course

• Best of All Time

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…

• Complexity Explorer
• 10 weeks long
• 10th Jan, 2022
• Free Online Course

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.

• Complexity Explorer
• 9 weeks long
• 11th Jun, 2018
• Free Online Course

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…

• Complexity Explorer
• 4-8 hours a week
• On-Demand
• Free Online Course

Introduction to Differential Equations

12 reviews

This tutorial contains excerpts from David Feldman's Dynamical Systems course.

• Complexity Explorer
• 1 hour of material
• On-Demand
• Free Online Course

Introduction to Renormalization

12 reviews

This tutorial provides a modern introduction to renormalization from a complex systems point of view.

• Complexity Explorer
• 1 hour of material
• On-Demand
• Free Online Course

Introduction to Information Theory

12 reviews

This tutorial introduces fundamental concepts in information theory.

• Complexity Explorer
• 1 hour of material
• On-Demand
• Free Online Course

Maximum Entropy Methods

10 reviews

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

• Complexity Explorer
• 1 hour of material
• On-Demand
• Free Online Course

Fundamentals of NetLogo

8 reviews

This tutorial will present you with the basics of how to use NetLogo to create an agent-based modeling.

• Complexity Explorer
• 1 hour of material
• On-Demand
• Free Online Course

Game Theory I - Static Games

7 reviews

This course is designed to provide a high-level introduction to static, non-cooperative game theory.

• Complexity Explorer
• 1 hour of material
• On-Demand
• Free Online Course

Functions and Iterations

6 reviews

This tutorial contains excerpts from David Feldman's Dynamical Systems course.

• Complexity Explorer
• 1 hour of material
• On-Demand
• Free Online Course

Fundamentals of Machine Learning

6 reviews

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.

• Complexity Explorer
• 1 hour of material
• On-Demand
• Free Online Course