Social Network

"This was my first MOOC experience, and to date the best one. I enjoyed the lessons, and the support and the knowledge was greatly rewarding! I could see myself specializing in this at a later stage in my career; it was a great intro into the field."

Class Central course review by Andjela T.

In this 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.

Instructor: Melanie Mitchell

Syllabus
- What is Complexity?
- Dynamics and Chaos
- Fractals
- Information, Order, and Randomness
- Genetic Algorithms
- Cellular Automata
- Models of Biological Self-Organization
- Models of Cooperation in Social Systems
- Networks
- Scaling in Biology and Society