CMDA students present a unique spin on the classic elevator pitch
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CMDA students present a unique spin on the classic elevator pitch
One of the key assignments for students taking the Computational Modeling & Data Analytics (CMDA) Capstone course is presenting an elevator pitch for their semester-long projects. In Fall 2022, Team We Didn't Start the Fire (sponsored by The Aerospace Corporation) took a creative approach to the assignment, writing and performing a song about their project, which focuses on predicting the spread of wildfires.
Sung to the tune of Billy Joel's "We Didn't Start the Fire" by seniors Colin Ames, Dominic Berry, Kirt Boyd, and John DeCelle, the elevator pitch was given as an encore presentation to both Capstone sections during the last week of classes.
Sung to the tune of Billy Joel's "We Didn't Start the Fire" by seniors Colin Ames, Dominic Berry, Kirt Boyd, and John DeCelle, the elevator pitch was given as an encore presentation to both Capstone sections during the last week of classes.
1, 2, ready, go. Aerospace has got new hires, California's catching fire, air condition's getting drier we can save the day. Fire frequency's increasing every year since 2016, heat destruction, people weeping, not CMDA. We can't stop the fire, if it's already burning, with machine learning, we're gonna build a model, to predict the weather, process data together. Random forest simulation could predict the situation, stop the fire before ignition, easy, problem solved. Kidding, stats is just a measure, coding is our guilty pleasure, GIS can make it better. Let's get more involved We can't stop the fire, if it's already burning, with machine learning. We're gonna build a model to predict the weather, process data together. Our cluster is BioSci, we all passed 3605, the algorithm will contrive where and when they'll be dashboard with the risk percentage, there is nothing we can't manage, that's the future Tech invented, let's go Hokies! We can't stop the fire, if it's already burning, with machine learning. We're gonna build a model, to predict the weather, process data together.