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"What's the connection between how many bits we can send over a channel and how accurately we can classify documents or fit a curve to data? Is there any connection between decision trees, prefix codes and wavelet transforms? What about error-correcting codes, graphical models and compressed sensing? "
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The challenge (and the right question) then becomes "what does it mean to teach in this environment?" And before that, "what does it mean to learn here?" What can be learned? How does learning happen? What happens to learning when it becomes more social, when we can more easily make connections between course content, personal interests and interests shared with others? In the conventional classroom, everyone has to learn the same content in the same way at the same time. That is, everyone sits and listens to the same lecture. Of course, it could have been a different lecture and with a different professor it would have been. The same course, with the same goals and the same general content, but a different experience because each professor has her own take, her own perspective. The traditional asynch class just intensifies that experience. But there's no reason now why we can't radically multiply it, so that students can form affinity groups in relation to the content and take it up in different ways: the same goals and the same general content, but now the students have some stake in the approach to the material.
"What I have in mind right now is that in the first half the students will investigate what I would call “big narratives” about the underlying causes of political and social debate about climate change, and build up what I’ve imagined as a series of flow charts built around each of these big narratives. Each week in the first part of the course, I want all of students to participate in a scavenger hunt looking for what they consider to be influential, successful or intriguing examples of a particular narrative: books, online discussions, organizations, political campaigns, advertisements, and so on. "
"This course provides an overview of major works of social thought from the beginning of the modern era through the 1920s. Attention is paid to social and intellectual contexts, conceptual frameworks and methods, and contributions to contemporary social analysis. Writers include Hobbes, Locke, Rousseau, Montesquieu, Adam Smith, Marx, Weber, and Durkheim. "
Material on copyright cases surrounding course packs and fair-use. From the 1990s.
experimental college, open education initiative from macalester and university of minnesota students
Courses are grounded in the philosophy and perspective of maybe logic, an approach which emphasizes the fallibility and relativity of perception and tends to approach information and observations with questions, probabilities and multiple perspectives rat
OCW site for Intro to Comp Neuroscience.
OCW site for statistical physics.
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