Data analysis  

Complements in mathematics; The objective is to provide a certain number of mathematical tools allowing you to calmly approach the different units of the ISIE course Computer science, data analysis General notions around digital data (typing, format, precision, sampling, etc.) and metadata · Recovery / reading / writing of data files · Data representation (1D,2D,3D, nD) · Standard statistical analysis tools · Concepts of noise and its statistical properties · Data regression/interpolation/smoothing · Cross-data analysis: Correlation of datasets and classification methods · Concepts of frequency analysis (Fourier spectrum and spectrogram) Throughout the module different IT tools are introduced. The basic language used is Python but complete mastery of this language is not an objective of the module.
Presential
English
Data analysis
English

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