U Potsdam Article About the MATLAB/LEGO MINDSTORMS Practical

Today the University of Potsdam published an article by Matthias Zimmermann about the MATLAB/LEGO MINDSTORMS practical, sponsored by MathWorks Inc. The practical, part of the master’s courses “Geosciences” and “Remote Sensing, geoInformation and Visualization“, as well as of the Summer School on Earth Surface Dynamics, aims to  improve student’s skills to build efficient teams to solve typical problems in earth sciences in acquiring, processing and analyzing typical multispectral (visible, infrared, thermal), geophysical (seismic, magnetic) and geometric (2D, 3D) data. Photo: Karla Fritze.

 

Completing the MATLAB/LEGO MINDSTORMS Environmental Remote Sensing Lab

Last Friday we completed the MATLAB/LEGO MINDSTORMS Environmental Remote Sensing. The course for undergraduate and graduate students aims to improve their skills to build efficient teams to solve typical problems in earth sciences in acquiring, processing and analyzing typical multispectral, geophysical and geometric data. The practical was a great success, and a lot of fun! Continue reading “Completing the MATLAB/LEGO MINDSTORMS Environmental Remote Sensing Lab”

The MATLAB/LEGO MINDSTORMS Environmental Remote Sensing Lab Started Today

Today was the first day of the MATLAB/LEGO MINDSTORMS Environmental Remote Sensing. The course for undergraduate and graduate students aims to improve their skills to build efficient teams to solve typical problems in earth sciences in acquiring, processing and analyzing typical multispectral, geophysical and geometric data. Continue reading “The MATLAB/LEGO MINDSTORMS Environmental Remote Sensing Lab Started Today”

Eight Boxes of Lego Mindstorms Arrived in our Environmental Remote Sensing Lab

Thanks to the great support of MathWorks sponsoring the curriculum development of the new MATLAB/LEGO MINDSTORMS Environmental Remote Sensing Lab we just received eight more boxes of LEGO MINDSTORMS. Together with various devices to acquire typical multispectral, geophysical and geometric data, we cannot wait to use it to teach how geoscientific data is collected, processed and analyzed on the scale of a laboratory. The progress of course development as well as course materials will be provided on this blog.