EART 260Introductory Data Analysis in the Ocean and Earth Sciences
Introduces data analysis methods regularly encountered within the ocean and earth sciences. Topics include: error propagation, least squares analysis, data interpolation methods, empirical orthogonal functions, and Monte Carlo methods applied to problems drawn from oceanographic and earth sciences datasets. Introduces and uses a high-level computing and visualization package of their choice (e.g., Matlab, python, R, Julia). Student project consists of analysis of the student's own dataset.
Prerequisite(s): previous course in ocean or earth sciences is recommended. Enrollment is restricted to graduate students; undergraduates with permission of instructor.
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When it runs
Spring 2026Open Spring 2026
| Section | Type | When | Where | Instructor | Seats |
|---|---|---|---|---|---|
| 01 | Lecture | Tue Thu 9:50am–11:25am | J Baskin Engr 169 | C. A. Edwards | Open 12/15 |
Who teaches it
| Instructor | Rating | Difficulty | Would take again | Reviews |
|---|---|---|---|---|
| Christopher Edwards | 4.3 / 5 | 3.1 / 5 | 96% | 36 |
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