ESYS 300 Earth Data Analysis

3 credits · Earth & Planetary Sciences · Faculty of Science · Offered: Fall

An applied introduction to programming and statistical image processing tools used in Earth system science, typically covering linear regression, statistical significance, Fourier analysis, empirical orthogonal function analysis. Use of global remote-sensing and in-situ observations.

Prerequisites

ESYS 200 or equivalent.

Prerequisite courses: ESYS 200

Courses that need ESYS 300

EPSC 425

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