New graduate students at Michigan Tech are invited to our virtual Smart Start. In Smart Start, we’ll introduce students to resources and policies to assist them to have a successful start to their graduate careers. It will be especially useful for students in their first year, but all students are welcome to attend. The seminar . . .
by Debra Charlesworth, Graduate School Applications for Summer 2021 finishing fellowships are being accepted and are due no later than 4 p.m., March 3, 2021 to the Graduate School. Please email applications to gradschool@mtu.edu. Instructions on the application and evaluation process are found online. Students are eligible if all of the following criteria are met: Must be . . .
Meet the VPR Sponsored Operations Team and VPR Staff by Office of the Vice President of Research Join VPR team members and other members of the Michigan Tech research community from noon to 1 p.m. tomorrow (Jan. 12) for presentations and discussion to help you and your team as you pursue funding for your research . . .
Computer Science graduate student Taylor Morris will present a Master’s Defense on Tuesday, January 5, from 6:00 to 7:00 p.m. Presentation Title: “Using Text Mining and Machine Learning Classifiers to Analyze Stack Overflow.” Advisor: Associate Professor Laura Brown, Computer Science Link to the Michigan Tech Events Calendar entry here. Join the Zoom meeting here. (michigantech.zoom.us/j/83033288850)
Husky Innovate is organizing Innovation Week, a series of innovation themed events the week of January 25 to 29, 2020. Our goal is to provide opportunities for students, faculty and alumni to meet virtually to engage around the topic of innovation. We will host panel discussions, alumni office hours and the Bob Mark Business Model . . .
Lecture Abstract Information fusion is the process of aggregating knowledge from multiple data sources to produce more consistent, accurate, and useful information than any one individual source can provide. In general, there are three primary sources of data/information: humans, algorithms, and sensors. Typically, objective data—e.g., measurements—arise from sensors. Using these data sources, applications such as . . .