Depending on the engineering course taken, students learn to master digital technology, artificial intelligence, image and signal processing, machine learning or deep learning, telecommunications, IT and networks, embedded software and the Internet of Things.
Depending on the engineering course taken, students learn to master digital technology, artificial intelligence, image and signal processing, machine learning or deep learning, telecommunications, IT and networks, embedded software and the Internet of Things.
Data processing (MP3, JPEG, divX, geolocation by satellite) of natural or artificially created signals (signals from the sea bed or volcanoes, images, speech, biomedical, telemedicine etc.).
To imagine the new communications technology (broadband, reliability, security, energy cost etc.), define new network protocols and reduce the carbon footprint of information systems (50 billion connected objects in 2020!).
To specify, design and produce the embedded software central to modern equipment, from latest-generation smartphones to the future smart vehicles.
3 Parvis Louis Néel – CS 50257 –
38016 Grenoble Cedex 1
Tél : + 33 4 56 52 91 00