Study the Earth as an interconnected system through geology, geophysics, geochemistry, geomorphology, hydrology, climatology, ocean science, GIS, remote sensing, statistics, AI and scientific interpretation.
Earth science begins with the physical planet, continues through observation and measurement, and develops scientific explanations through mathematics, statistics, models and human interpretation.
Planetary System
Observation
Collection
Sensing
Organization
Quantification
Analysis
Simulation
Computation
Interpretation
The Earth is the integrated physical system containing the atmosphere, hydrosphere, geosphere and biosphere.
Explore the major scientific perspectives used to understand the planet.
Rocks, minerals, tectonics, geological structures, Earth history and geological processes.
Physical properties of Earth including seismic, gravitational, magnetic and electrical processes.
Chemical composition and transformation of rocks, minerals, fluids and Earth materials.
Landforms and the processes that shape landscapes through time.
Water movement through rivers, groundwater, soils and watersheds.
Climate systems, atmospheric processes, variability and long-term change.
Oceans, marine processes, circulation, sediments and coastal systems.
Remote sensing, satellite imagery, GIS, environmental monitoring and spatial analysis.
Earth scientists combine field observations, samples, instruments, satellites and laboratory measurements.
Study physical and chemical characteristics of geological materials.
Examine tectonics, volcanism, erosion, deposition and landscape evolution.
Use satellite and remote-sensing observations to study large geographic areas.
Understand Earth history through geological time scales and major changes in the planet.
Scientific questions often cross traditional disciplinary boundaries.
Rocks, minerals, crust and geological structures.
Surface water, groundwater, oceans and ice.
Air, weather, climate and atmospheric processes.
Living systems and their interactions with Earth.
Mathematical tools allow scientists to quantify physical processes, distances, rates and volumes.
Convert temperature values used in Earth and atmospheric science.
Quantitative Earth science can involve:
Explore simplified geological, river, elevation and observation layers.
What geological features are present?
How does water interact with terrain?
Where are observations concentrated?
How might landscape processes change over time?
Statistical thinking helps characterize variation, uncertainty, relationships and environmental patterns.
Example measurements from six hypothetical geological observation sites.
Computational methods and AI can help classify geological materials, analyze satellite imagery, identify patterns, process large datasets and support scientific research.
Computational tools can assist scientific work, but observations require context, uncertainty assessment and scientific reasoning.
Identify what measurements and observations actually demonstrate.
Connect geological, environmental, physical and temporal information.
Consider measurement limitations, incomplete observations and alternative explanations.
Scientific observations can become maps, models, reports, datasets and research applications.
Follow a structured pathway from Earth science foundations to advanced scientific analysis.
Understand Earth as an interconnected physical and environmental system.
Explore rocks, minerals, tectonics, structures and geological processes.
Examine chemical composition and processes affecting Earth materials.
Study seismic, gravitational, magnetic and physical properties of Earth.
Analyze landscapes, landforms and surface processes.
Explore surface water, groundwater, watersheds and hydrological cycles.
Study climate systems, atmospheric processes and environmental variability.
Explore marine systems, ocean processes and coastal environments.
Analyze Earth through spatial information systems and satellite observations.
Apply quantitative methods to scientific observations and environmental data.
Process, visualize and analyze scientific datasets with computational tools.
Explore computational intelligence for scientific Earth observation and analysis.
Mark modules as completed to track your progress.
Course description.