Environmental Sciences

ESCI 160 Data 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.

Requirements

Prerequisite(s): MATH 11B or MATH 19B or equivalent. Enrollment is restricted to environmental sciences majors.

Credits

5

General Education Code

SR

Quarter offered

Fall

Instructor

Claudie Beaulieu