Category: Applied Computing

Copper Country Coders Invite Fellow Huskies to Join the Fun

It’s a building year for Copper Country Coders, and the students taking on stewardship of the group, which was established in 2011, are definitely up to the task. They remember what it was like to be captivated by coding at a young age. They enjoy hanging out with fellow Huskies. And they love to teach.

CRA Leadership Academy Cultivates Academic Leaders in Computing

Editor’s note: This article written by Computing Research Association (CRA) Communications Director Matt Hazenbush was published today in the March 2025 issue of Computing Research News. Thanks to CRA for allowing the College of Computing to share the story. On February 20-21, 2025, the Computing Research Association (CRA) hosted the 2025 CRA Leadership Academy at . . .

MTU RedTeam Earns More Accolades: Students Excel in National Cyber League Competition

When it comes to red teaming, Michigan Tech Computing Huskies are among the best in the nation. The MTU RedTeam earned an overall Cyber Power Ranking of 22nd in the nation from the National Cyber League (NCL). NCL said the ranking represents the ability of students to perform real-world tasks, including identifying hackers from forensic . . .

This Graduation Celebration is All in The Husky Family

The nearly 100 Huskies who graduated with the Michigan Tech College of Computing Class of 2024 at mid-year commencement included cybersecurity major Abby Jurewicz. For her, the milestone is both a personal accomplishment and the continuance of a cherished family tradition. Jurewicz’s parents are both Tech grads. Mom Amy Jurewicz, ’94, earned her bachelor’s in . . .

PhD Student Sunyoung Ahn to Present Final Oral Exam November 19

Graduate student Sunyoung Ahn (Ph.D. in Computational Science and Engineering) will present a final oral examination (defense) on Tuesday, November 19, from 11:30 am-1:00 pm in MEEM 405 and via virtual meeting. The title of Ahn’s defense is “Bayesian Inference of Longitudinal Binary and Ordinal Data Utilizing Multivariate Probit Models.” Defense Abstract This dissertation explores . . .