SIO 112Computational Tools and Data Science in Geophysics
This course covers a range of computational tools and data science techniques and their uses in geophysics. Topics include linear algebra (linear and iterative solvers, eigenvalue problems and least squares), random variables and “hands on” probability, Kalman filtering, Markov chain Monte Carlo, and machine learning methods (Gaussian process regression and deep neural networks). Geophysical inverse problems are the main focus of application. This course involves regular coding assignments. Recommended preparation: SIO 113 and prior familiarity with computer programming and linear algebra.
Prerequisites
From the catalog: “SIO 103 or consent of instructor.”
Where it sits in degree plans
One of the options in (1)
- Geosciences (B.S.)