Introduction (approx 3 hours): Introduction to Internet of Things-Introduction to big data-Definition of big data-Types of big data-operations on big data-Examples of big data.

Part 1 (approx 40 hours): Digital transmission: Space of signals, Vector representation of signals, Gram-Schmidt orthogonalization -Survey on main analog and digital modulation techniques, Error probabilities for different modulation schemes, MAP criteria for signal reconstruction, Transmission on Gaussian channel -Viterbi decoding, convolutional and Trellis codes -Minimum bandwidth systems, Maximum likelihood estimation, receiving systems -Fading channels, Clarke hypothesis, multipath, Rayleigh and Rice fading -Equalizers, Zero Forcing equalizers,

Part 2 (approx 12 hours).Big data sensing: Types of data - Audio sources - Basics of acoustics - Human earing fundamentals - Basics of digital audio - Digital encoding - Sampling Theory - Different audio file formats - Compressed audio - Videosources - Basics of video encoding - Different video file formats - Multimedia transmission - Fundamentals - Jitter and synchronization - Multimedia file formats - Data sources - Data file formats - Examples of different mechanisms for data generation.

Part 3 (approx 10 hours).Big data compression: Source coding - Compressive sensing - Channel coding - Examples of compression techniques applied to different types of data.

Part 4 (approx 15 hours).Big data communication: Technologies for the IoT - WiFi - LoRa - SigFox - Examples of communication between nodes exploiting some of the technologies discussed above.

The following texts are suggested readings. During the course, the teacher can also suggest further readings (e.g. scientific papers and articles) on specific topics.

-A. Rezzani. Big Data Analytics: Il manuale del data scientist, Apogeo Maggioli Editore

-V. Lombardo, A. Valle. Audio e multimedia, 4th edition, Apogeo Maggioli Editore.

-Z. Han, H. Li, W. Yin.Compressive sensing for wireless networks. Cambridge University Press.

-F. Wu. Advances in visual data compression and communication: Meeting the Requirements of New Applications,CRC Press.

-U. Mengali, M. Morelli, Trasmissione numerica, Mc Graw Hill