| 15.071 The Analytics Edge (New Course) This course presents real-world examples in which quantitative methods provide a significant competitive edge that has led to a first order impact on some of today's most important companies. We outline the competitive landscape and present the key quantitative methods that created the edge (data-mining, dynamic optimization, simulation), and discuss their impact. |
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| 7.344 Cellular Metabolism and Cancer: Nature or Nurture? (New Course) In this course we will explore how altered metabolism drives cancer progression. Students will learn (1) how to read, discuss, and critically evaluate scientific findings in the primary research literature, (2) how scientists experimentally approach fundamental issues in biology and medicine, (3) how recent findings have challenged the traditional “textbook” understanding of metabolism and given us new insight into cancer, and (4) how a local pharmaceutical company is developing therapeutics to target cancer metabolism in an effort to revolutionize cancer therapy. |
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| 21G.026 Global Africa: Creative Cultures (New Course) This course examines contemporary and historical cultural production on and from Africa across a range of registers, including literary, musical and visual arts, material culture, and science and technology. It employs key theoretical concepts from anthropology and social theory to analyze these forms and phenomena. It also uses case studies to consider how Africa articulates its place in, and relationship to, the world through creative practices. Discussion topics are largely drawn from Francophone and sub-Saharan Africa, but also from throughout the continent and the African diaspora. |
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Talking about Creoles, Speaking in Kreyòl |
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| Brightly painted water taxis crowd a beach in Haiti. (Image courtesy of Steve Bennett on flickr. License: CC BY-NC.) |
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By Peter Chipman, Digital Publication Specialist and OCW Educator Assistant Robotics and artificial intelligence are fast-paced fields in which researchers constantly have to adapt to new technological developments. But in such fields, progress isn’t always achieved by competitive, individual effort; in many circumstances, cooperation and collaboration are more fruitful approaches. In the interview excerpt below, Brian Charles Williams, a professor at MIT’s Computer Science & Artificial Intelligence Laboratory, describes how he develops learning communities in the graduate-level course 16.412 Cognitive Robotics: OCW: How is learning different in a course focused on an emerging field like cognitive robotics? > Read the complete article |
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"I'm donating to OCW because I believe in the world class education that MIT is giving to the human society." -Art, Independent Learner, Canada > Read more |
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