ESCI 160Data Analysis in the Environmental Sciences
Introduces data-analysis methods regularly encountered within environmental sciences. Students learn how to think about data, its uncertainty, how models and data are related and depend on underlying assumptions, and how to synthesize information contained in data.
Prerequisite(s): MATH 11B or MATH 19B or equivalent. Enrollment is restricted to declared environmental sciences majors.
- Enroll in lecture and associated secondary lab.
Find a section and add it to your scheduleLive seat counts, time-conflict checks and the walk from your previous class.
When it runs
Fall 2026Open Fall 2026
| Section | Type | When | Where | Instructor | Seats |
|---|---|---|---|---|---|
| 01 | Lecture | Tue Thu 1:30pm–3:05pm | Thim Lecture 001 | C. Beaulieu | Open 50/60 |
Fall 2025Open Fall 2025
| Section | Type | When | Where | Instructor | Seats |
|---|---|---|---|---|---|
| 01 | Lecture | Tue Thu 9:50am–11:25am | N. Sci Annex 101 | C. Beaulieu | Open 69/76 |
Who teaches it
| Instructor | Rating | Difficulty | Would take again | Reviews |
|---|---|---|---|---|
| Claudie Beaulieu | 4.5 / 5 | 2.8 / 5 | 100% | 4 |
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