New Courses From Complexity Explorer and Stanford Online in September

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September brings many new courses to choose from.  Here are a few from Stanford Online and Complexity Explorer!

 

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Changing the global course of learning
Starts: Sep 2, length: 14 weeks)

Open source, open science, open data, open access, open education, open learning — this free, online course provides an introduction to the important concept of openness from a variety of perspectives, including education, publishing, librarianship, economics, politics, and more, and asks you to discover what it means to you. Open Knowledge is international and multi-institutional, bringing together instructors and students from Canada, Ghana, Mexico, the United States, and the rest of the world. It will challenge you to take control of your own learning, to determine your own personal learning objectives, to contribute to the development of the curriculum, to reflect on your progress, to learn new digital skills, and to take a leadership role in the virtual classroom. It will also provide you with the opportunity to connect with colleagues from different countries and professions, and to better understand areas where your interests overlap and where unexpected distinctions exist.

 

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Mathematics for Complex Systems
Starts: Sep 29, length: 9 weeks

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 meant to introduce students to various important techniques and to provide illustrations of their application in complex systems. A given unit is not meant to offer complete coverage of its topic or substitute for an entire course on that topic.

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Introduction to Complexity (Fall, 2014)
Starts: Sep 29,  length: 11 weeks

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.

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Nonlinear Dynamics: Mathematical and Computational Approaches
Starts: Sep 29, Length 6 Weeks

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 semester of college-level calculus and physics, and who can program in at least one high-level language.

With so many great courses starting in September, however will you choose?  Whichever you decide to take, remember to update your Accredible Learning Profile.