EAS 5740

Quantitative Data Analysis for the Geosciences

Course Description

Course information provided by the Courses of Study 2016-2017.

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.

When Offered Spring.

Prerequisites/Corequisites Prerequisite: two semesters of calculus, and coursework in Earth and Atmospheric Sciences at 3000-level or above. Recommended prerequisite: linear algebra.

Comments Students enrolled in EAS 5740 will be required to complete additional work in the form of an in-class presentation.

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