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Integrating Experimental Data Sets and Simulation Codes for Students into a MOOC on Aerial Robotics

Sylvain Bertrand, Julien Marzat, Guy Le Besnerais, Antoine Manzanera, Cristina Stoica, Maria Makarov

Year
2019
Citations
3

Abstract

This paper addresses the integration of experimental data sets and simulation codes into a MOOC. Such additional material is both used in the lecture videos and proposed to the students as a complement to put into practice the theoretical notions presented. The chosen pedagogic approach hence relies on a tight integration between these elements and is illustrated through the example of DroMOOC, a MOOC on aerial robotics.

Keywords

RoboticsComplement (music)Artificial intelligenceComputer scienceData integrationRobotData mining

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