Introduction to Complexity (Spring, 2017)
Lead instructor: Melanie Mitchell
- About the Course:
In this re-offering of our popular introductory 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.
- About the Instructor(s):
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:
- Class Introduction
- How to use Complexity Explorer:
- How to use Complexity Explorer
- Enrolled students:
- Participant map:
- Course dates:
10 Apr 2017 3pm UTC to
01 Jul 2017 5am UTC
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- Twitter link
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- What is Complexity?
- Dynamics and Chaos
- Information, Order, and Randomness
- Genetic Algorithms
- Cellular Automata
- Models of Biological Self-Organization
- Models of Cooperation in Social Systems
- Scaling in Biology and Society