"I teach several modules in the Earth Sciences programs. I use computer programming (Python with Jupyter notebooks) extensively to enhance my teaching and provide students with interactive simulations, hands-on experience in working with real data, and the skills needed for solving complex problems.
Most of the teaching material that I create is freely available under open and permissive Creative Commons licenses on GitHub: github.com/leouieda"
I teach an introduction to quantitative analysis of remote sensing data (multi-spectral satellite images, digital elevation models, InSAR) using Python and the Scientific Python stack. My favourite part is reading the independent report that students create as part of their assessment. They are free to choose their own topics and perform some amazing analysis of public domain image data from the Landsat8 satellite.
Gravimetry is the study of the Earth's gravity field and how it varies because of density variations and the movement of masses. I teach the basic concepts of gravimetry, how to operate the extremely sensitive gravimeters that we have in-house, and how to process and interpret the data to provide insights into the Earth.
Geodynamics of the lithosphere
The lithosphere is the outermost layer of the Earth, the part that is brittle and can rupture to cause earthquakes. We have a wealth of physics-based models and global geophysical data that allow us to investigate how the lithosphere is formed, evolves, and deforms. I work together with students to translate the mathematics of these models into computer code (in Python) and how to compare model predictions against existing data.