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ENERGY 240: Data Science for Geoscience (EARTHSYS 140, EARTHSYS 240, EPS 140, EPS 240, ESS 239)

(Formerly GEOLSCI 140 and 240) Overview of some of the most important data science methods (statistics, machine learning & computer vision) relevant for geological sciences, as well as other fields in the Earth Sciences. Areas covered are: extreme value statistics for predicting rare events; compositional data analysis for geochemistry; multivariate analysis for designing data & computer experiments; probabilistic aggregation of evidence for spatial mapping; functional data analysis for multivariate environmental datasets, spatial regression and modeling spatial uncertainty with covariate information (geostatistics). Identification & learning of geo-objects with computer vision. Focus on practicality rather than theory. Matlab exercises on realistic data problems. Change of Department Name: Earth and Planetary Science (Formerly Geologic Sciences).
Terms: Win | Units: 3
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