EARTHSS 118
Analysis, Modeling, and Visualization of Multidimensionnal Environmental Data
Students learn programming and numerical methods in Python with applications in Earth System Science and ecology. Topics include regression, uncertainty and significance, the development of simple box models, and the visualization of multi-dimensional climate and satellite datasets.
Topics
- regression
- uncertainty and significance
- the development of simple box models
- and the visualization of multi-dimensional climate and satellite datasets
Topics explicitly listed in official catalogue description
Prerequisites & course information
Students learn programming and numerical methods in Python with applications in Earth System Science and ecology. Topics include regression, uncertainty and significance, the development of simple box models, and the visualization of multi-dimensional climate and satellite datasets.
Sources
- Course catalogue ↗2026-2027