Flight Data Analysis

The mission of the lab is to support and advance experiential learning and unique research activities of students and faculty.

The lab, managed by the Applied Aviation Sciences Department, uses GE’s state-of-the-art eFOQA software to provide hands-on training in flight data analysis and promotes collaboration with industry and aviation experts.

Potential research opportunities include the use of flight data to detect precursors to loss-of-control-inflight events, monitoring human performance indirectly through data signatures, and predictive real-time warnings based on machine learning (AI). The lab supports active learning in the classroom, including predictive flight modeling and data visualization with animation. The lab will evolve the curriculum from simply talking about life saving to potentially saving lives in class.

Equipment

• 30 workstation computers
• Podium computer with two 20-inch monitors
• Two 70-inch TVs mounted at front of classroom
• Projector