EAS 5740 - Quantitative Data Analysis for the Geosciences

Spring. 3 credits. Student option grading.

Prerequisite: two semesters of calculus, and coursework in earth and atmospheric sciences at 3000-level or above. Recommended prerequisite: linear algebra. Co-meets with EAS 4740. Students enrolled in EAS 5740 will be required to complete additional work in the form of an in-class presentation.

G. Abers.

Geoscientists cannot perform controlled experiments, and they study processes that occur over time and distance scales that cannot fit into a laboratory, leading to unusual data analysis problems. This course first covers basic statistical methods for handling and treating noisy data of this sort, then parameter estimation from incomplete and noisy measurements, then basics of time series analysis. Examples include spatial, temporal, sequential and directional problems derived from climate science, seismology, sedimentology, structural geology, geochemistry and related fields.