This track offers 64 hours of lectures and labs around the transformation of
measures from our environment to signal, then to data and finally to the analysis
of data by most sophisticated methods. First sessions will concentrate on signal
(acquisition, filter, processing) then on systems to handle the information
digitally (electronic cards, operating systems, programs on computers) or
transmit it to the Internet. On a wider scope, information becomes data, and you
will discover the basics of Data Science: innovative ways of storing data, mining
data to extract meanings or intentions by machine learning and artificial
intelligence methods.
Lecturers are members of Université Montpellier or of the Montpellier antenna of
IBM corp.
The syllabus of the track is detailed below. It includes some references that might
support you during the school or guide your way for a more thorough exploration
of the covered material.