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"Lec 27 - Probability for Life Science" A math course for life science majors covering elementary probability, probability distributions, random variables, and limit theorems. Lecturer: Herbert Enderton, Ph.D., Harvard University. Dr. Enderton is Logic Colloquim Chairman for the UCLA Logic Center -- http://www.logic.ucla.edu/. UCLA course Probability for Life Science, Math 3C, Fall 2008 * See all UCLA Math 3C classes in this series: http://www.youtube.com/view_play_list?p=5BE09709EECF36AA * See more courses from UCLA: http://www.youtube.com/uclacourses * See more from UCLAs main channel on YouTube: http://www.youtube.com/ucla ABOUT UCLA MATH: The American Mathematical Society honored UCLA's math department and its "first-rate faculty of internationally recognized mathematicians" with the 2007 Award for an Exemplary Program or Achievement in a Mathematics Department. UCLA's department is "an outstanding model of all that a mathematics department can be," the society declared. The society said UCLA's created "a comprehensive vision for its undergraduate, graduate, and postdoctoral training programs that involves important interactions with the Institute for Pure and Applied Mathematics (IPAM) at UCLA, which is funded by the National Science Foundation (NSF). Through these unusually large training programs, UCLA has become one of the biggest pipelines to mathematical careers in the United States." IPAM strengthens the ties between mathematics and the other sciences and helps train a new generation of interdisciplinary mathematicians and scientists. More than 1,000 scholars a year participate in programs that bring together mathematicians and scientists from the fields of biology, the physical sciences, medicine, engineering and others, as well as from industry and national laboratories. http://www.math.ucla.edu/

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Channels: Mathematics

Tags: A math course for life science majors covering elementary probability, probability distributions, random variables

Uploaded by: uclamath3c ( Send Message ) on 06-09-2012.

Duration: 44m 12s

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