Tag: computing

National security agencies renew Missouri S&T cybersecurity accreditation

Posted by on March 19, 2019

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Missouri S&T has once again received accreditation as a National Center of Academic Excellence in Information Assurance and Cyber Defense Research (CAE-R), putting S&T in an elite group of universities that meet the federal government’s criteria for providing educational and research opportunities in cybersecurity.

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Ian Ferguson named vice provost and dean of engineering and computing

Posted by on June 17, 2014

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Dr. Ian Ferguson, professor and chair of electrical and computer engineering at the University of North Carolina at Charlotte, will become vice provost and dean of the College of Engineering and Computing at Missouri University of Science and Technology on Aug. 13.

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Research Technology Day brings together academics, technologists

Posted by on August 1, 2013

College and university faculty members, students and staff wanting to learn more about using technology to support their research efforts and hobbies are encouraged to attend the third annual Research Technology Day on the Missouri University of Science and Technology campus.

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A MySpace for the mobile generation

Posted by on January 2, 2007

UMR student-entrepreneur Benjamin Roodman is going mobile with the launch of a social networking service that integrates the Internet with cellular telephone technology.

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UMR to host summer camps

Posted by on May 11, 2006

Students between the ages of 10 and 20 can take a behind-the-scenes look at everything from robots and explosives to geology and spaceships at summer camps and programs to be held this summer on the University of Missouri-Rolla campus. They include:

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UMR named one of nation’s best wireless campuses

Posted by on April 28, 2004

UMR students enjoy one of the nation’s best wireless Internet systems, according to a recent survey by computer chip manufacturer Intel.

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AI makes smart chips smarter, faster

Posted by on August 13, 2003

Analyzing the accuracy of a computer chip’s layout will be faster and more efficient, thanks to the work of a UMR Ph. D. student who has developed a way to use fuzzy logic and neural networks to analyze printed circuit layouts.

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