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MIT OpenCourseWare
With MIT OpenCourseWare, the Massachusetts Institute of Technology plans to make course materials for nearly all its undergraduate and graduate subjects available online, free of charge to anyone who cares to use them. An ambitious project created as part of the university's mission "to advance knowledge and education to best serve the nation and the world." MIT OpenCourseWare currently offers course materials for a wide range of subjects. Users should bear in mind that MIT OpenCourseWare is an informal learning venue only, not a degree or certificate-granting program.
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National Digital Learning...
Crafted by the National Digital Learning Resources Network, this site is designed to offer access to high-quality educational resources on a range of academic...
Science in School
Crafted by the EIRO Forum, the Science in School website aims "to promote inspiring science teaching by encouraging communication between teachers, scientists,...
Online Scientific Calculator
The page contains an online scientific calculator with integrated unit converter. It provides scientific functions, algebraic operating mode, linear equation...
National Science Foundation:...
The National Science Foundation (NSF) has a number of thematic areas dedicated to providing resources for educators interested in the physical and biological...
Web Adventures: Explore Science
For young people interested in careers in science and technology, the Web Adventures site is a great way to pique interest. Created by the Center for...

AMSER is a portal of educational resources and services built specifically for use by those in Community and Technical Colleges but free for anyone to use.

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.
Large thunderstorm from 30,000 feet.
Drawing tools for mathematics.
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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