. "Data Science, Data Analysis, Data Mining"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "Data analysis"@en . . "3" . "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\nComputer science, data analysis General notions around digital data (typing, format, precision, sampling, etc.) and metadata\n· Recovery / reading / writing of data files\n· Data representation (1D,2D,3D, nD)\n· Standard statistical analysis tools\n· Concepts of noise and its statistical properties\n· Data regression/interpolation/smoothing\n· Cross-data analysis: Correlation of datasets and classification methods\n· Concepts of frequency analysis (Fourier spectrum and spectrogram)\nThroughout 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"@en . "TRUE" . . "Master of Earth and Planetary Sciences, Environment"@en . . "https://eost.unistra.fr/lm/master/ingenierie-et-geosciences-pour-lenvironnement#data-rof-tab-cours" . "120"^^ . "Presential"@en . "Integrate the spatial and temporal dimensions of environmental systems using data analysis and information spatialization techniques (geographic information systems, database management and processing)"@en . . . "2"@en . "FALSE" . . "Master"@en . "None" . "243.00" . "Euro"@en . "Not informative" . "Mandatory" . "Environmental analysis (ISO standards, Life cycle analysis, regulatory files, etc.)\nStudy/advice/management of projects on polluted sites and soils and remediation\nEnvironmental project manager/advisor/engineer (raising awareness of ecological issues, reducing/estimating the environmental impact of activities, sustainable development, etc.)\nSanitation\nHydrologist/Hydrogeologist\nResearch careers in the field of surface geosciences"@en . "no data" . "FALSE" . "Downstream"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .