OCEA 267Applied Environmental Time Series Analysis
Course takes an empirical approach to quantify and explain changes in the Earth system over time. Students learn how to analyze time-series data and answer questions about environmental change and variability. Students acquire the theoretical basis of the statistical approaches, gain experience interpreting and discussing the results, and debate the methods chosen resulting in a critical understanding of the underlying assumptions and limitations of the methods discussed. This is a hands-on class and utilizes a suite of observational datasets and outputs from Earth system models. Students cannot receive credit for this course and ESCI 167.
Prerequisite(s): Students are expected to know R, Matlab or Python and have statistics background. Please contact the instructor before enrolling if you are unsure.Enrollment is restricted to graduate students.
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When it runs
Winter 2027Open Winter 2027
| Section | Type | When | Where | Instructor | Seats |
|---|---|---|---|---|---|
| 01 | Lecture | Tue Thu 11:40am–1:15pm | Earth&Marine D236 | C. Beaulieu | Open 0/30 |
Winter 2026Open Winter 2026
| Section | Type | When | Where | Instructor | Seats |
|---|---|---|---|---|---|
| 01 | Lecture | Tue Thu 1:30pm–3:05pm | N. Sci Annex 102 | C. Beaulieu | Open 23/30 |
Who teaches it
| Instructor | Rating | Difficulty | Would take again | Reviews |
|---|---|---|---|---|
| Claudie Beaulieu | 4.5 / 5 | 2.8 / 5 | 100% | 4 |
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