Co-op medalist advocates for women in computing
April 12, 2021
Sydney O’Connor had never written a line of code before she came to University of Cincinnati. Thanks to UC co-op, she will start work as firmware quality engineer with Apple upon her graduation this spring. O'Connor received the 2021 Herman Schneider Medal for distinction as an exemplary co-op student who has taken fullest advantage of the unique opportunities of cooperative education.
Engineering student’s roller coaster model serves as inspiration for kids
April 19, 2021
Jared Holladay, who is graduating from the University of Cincinnati this spring with a computer engineering degree, combined his love of roller coasters and automated control systems to create a 3D printed roller coaster model that will be used for STEM outreach and education by UC and supporting partner Rockwell Automation.
Engineering college invests in future energy workforce
July 1, 2019
The University of Cincinnati College of Engineering of Applied Science receives $25,000 Powerful Communities grant from the Duke Energy Foundation to upgrade labs in the Department of Electrical Engineering and Computer Science.
UC receives Duke Energy workforce development grant
May 29, 2020
The University of Cincinnati College of Engineering of Applied Science receives $35,000 Powerful Communities grant from Duke Energy Foundation to upgrade labs in the Department of Electrical Engineering and Computer Science.
UC joins national CyberCorps to defend America’s cyberspace
February 11, 2021
The University of Cincinnati received a $4 million award from the National Science Foundation to establish a Cybersecurity Scholarship for Service program.
UC’s Joint Co-op Institute marks 10 years of partnership with Chongqing University
March 12, 2024
The University of Cincinnati College of Engineering and Applied Science (CEAS) and Chongqing University (CQU) in Chongqing, China, recently celebrated the 10th anniversary of their Joint Co-op Institute collaboration.
New AI tool assesses risk of self-harm
May 9, 2024
An assessment tool that leverages a powerful new artificial intelligence was able to predict whether patients exhibited suicidal thoughts and behaviors using a quick and simple combination of variables.