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Teaching Advanced Physics
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Maintained by staff members at the Institute of Physics, the Teaching Advanced Physics (TAP) website provides a wealth of resources designed to help teach physics to advanced high school and college students. The materials here are divided into seven sections, including Electricity, Mechanics, Vibrations and waves, and Energy. Within each of these sections, visitors will find smaller "episodes" which represent a coherent section of teaching that can be covered in one or two lessons. Each episode includes illustrations accompanied by explanatory text that can be used to complement an existing lesson plan. The extensive site covers over 30 topics, including circular motion, Newton's law, drag...
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The Huntington: Garden Programs
The Huntington, which is located in San Marino, California, is unusual among cultural institutions for its scope. Including a library, an assortment of art...
Self-Driving Cars: The Next...
This resource contains a whitepaper by both CAR and KPMG discussing the results of interviews with more than 25 thought leaders, automotive and high-tech...
Progress Report: Standardization...
This progress report by the American National Standards Institute (ANSI) Electric Vehicles Standards Panel (EVSP) addresses progress made towards key issues...
Intelligent Transportation Systems...
This resource contains a technical report on ITS?s strategic plan for the years 2015 to 2019 and presents a wide array of technical, policy, institutional, a...
NSF Special Report: Understanding...
In 2013, President Obama unveiled "The Brain Initiative," a ten-year, nearly one billion dollar effort to unlock the mysteries of the brain. With contributions...



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AMSER is funded by the National Science Foundation as part of the National Science Digital Library, and is being created by a team of project partners led by Internet Scout.
A slide used for specimens.
Chemist at work mixing materials.
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Reverend Thomas Bayes (1702-1761) was the mathematician who first used probability inductively and established a mathematical basis for probability inference, a means of calculating, from the number of times an event has not occurred, the probability that it will occur in future trials.


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