Utilizing a MOOC to Assess Student Understanding of Fundamental Principals in Combined Static Loading
Author(s) -
Kathryn Wingate,
Robert S. Kadel,
Amanda G. Madden
Publication year - 2018
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/1-2--29097
Subject(s) - session (web analytics) , computer science , quality (philosophy) , stress (linguistics) , mathematics education , point (geometry) , sample (material) , selection (genetic algorithm) , psychology , artificial intelligence , mathematics , world wide web , linguistics , philosophy , chemistry , geometry , epistemology , chromatography
Dr. Kathryn Wingate started as an Academic Professional in the Woodruff School of Mechanical Engineering in the summer of 2014. She received a BS in Mechanical Engineering and a BS in Astronomy from the University of Illinois in 2005. After graduation she went to work for Northrop Grumman Space Technology in Redondo Beach, California. In her time at Northrop Grumman Kathryn served as a material scientist specializing in the failure analysis of microelectronics on several defense satellite programs. In 2009 she left industry to pursue a PhD in Mechanical Engineering at the University of Colorado, where her research focused on the development of novel biomaterials for cardiovascular tissue engineering. At the GWW School of Mechanical Engineering, Kathryn teaches the junior level Machine Design and senior level Capstone Design courses, as well as advises the BSMS students. In October 2016 she will release a Machine Design MOOC on the Coursera platform, focusing on static and fatigue failure analysis techniques.
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