Complexity Explorer Santa Fe Institute

Introduction to Complexity

Lead instructor:

About the Course:

We have re-opened our popular introductory course indefinitely; all units will be open once the course is launched!

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. You’ll also get a sense of how these topics fit together to help explain how complexity arises and evolves in nature, society, and technology. There are no prerequisites. You don't need a science or math background to take this introductory course; it simply requires an interest in the field and the willingness to participate in a hands-on approach to the subject.

You will be able to complete this course at any time of the year and receive a certificate. Course Instructor Santiago Guisasola will be monitoring the forums and email to support your complexity learning journey. To make sure you have a community to work through the course with we have created forums specifically for the month that you start the course.  This way you can introduce your self,  post questions and comments to fellow students that are moving at the same pace as you.  You can also use all the general forums for questions and comments.

About the Instructor(s):

Santiago Guisasola is a doctoral candidate at the Institute for Mathematical Behavioral Sciences at the University of California, Irvine. He studies how groups create objects and ideas. To develop theory, he uses mathematical modeling. To develop intuition, he sets up improvisational experiments with musicians. After his PhD, Santiago plans to return to his home country of Brazil to further explore the possibilities of combining math, music, and technology, for both science and art.

Santiago is able to provide assistance in Portuguese, he can try to provide assistance in French, and if you and Santiago are both lucky, in Spanish too.

 

The course creator and video instructor, Melanie Mitchell is Professor of Computer Science at Portland State University,  and External Professor and Member of the Science Board at the Santa Fe Institute. She is the author or editor of five books and over 80 scholarly papers in the fields of artificial intelligence, cognitive science, and complex systems. Her most recent book, Complexity: A Guided Tour, published in 2009 by Oxford University Press, won the 2010 Phi Beta Kappa Science Book Award. It was also named by Amazon.com as one of the ten best science books of 2009, and was longlisted for the Royal Society's 2010 book prize.                             

Class Introduction
How to use Complexity Explorer
Enrolled students:

4,791

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Course dates:

Always available

Prerequisites:

None

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Syllabus

  1. What is Complexity?
  2. Dynamics and Chaos
  3. Fractals
  4. Information, Order, and Randomness
  5. Genetic Algorithms
  6. Cellular Automata
  7. Models of Biological Self-Organization
  8. Models of Cooperation in Social Systems
  9. Networks
  10. Scaling in Biology and Society