Predictive Data Analytic Approaches for Characterizing Design Behaviors in Design-Build-Fly Aerospace and Aeronautical Capstone Design Courses

Αποθηκεύτηκε σε:

Λεπτομέρειες βιβλιογραφικής εγγραφής
Εκδόθηκε σε:	Association for Engineering Education - Engineering Library Division Papers (Jun 26, 2016), p. n/a
Κύριος συγγραφέας:	Madhavan, Krishna
Άλλοι συγγραφείς:	Richey, Michael, McPherson, Barry
Έκδοση:	American Society for Engineering Education-ASEE
Θέματα:	United States > US Students Collaboration Applications programs Engineering education Aeronautics Task complexity Skills Mapping Emergency response Unmanned aerial vehicles Researchers Aerospace engineering Computer simulation Social research Colleges & universities Data analysis Product development Data mining Aerospace industry Clustering Workload Engineers Messages Information management Preliminary designs Dirichlet problem Citizen participation Production Prediction models College students Models Simulation Engineering Professional training Flying Social networks Rescue workers Learning Predictions Data Behavior Documentation Specification Networking Topic and comment Multidisciplinary teams Teams Cooperative learning Time series Executives Software College faculty Educational programs Decision making Decision makers Information retrieval Comorbidity
Διαθέσιμο Online:	Citation/Abstract Full text outside of ProQuest
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