ESYS 300 — Earth Data Analysis

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.

• Rating: 1.00 out of 5 from 19 student reviews
• Difficulty: 5.00 out of 5
• Credits: 3
• Faculty: Faculty of Science
• Department: Earth & Planetary Sciences
• Taught by: Bruno Tremblay, Margaret Kalacska
• Prerequisite: ESYS 200 or equivalent.

Sections offered

• Section 001 (Lec), Wed 11:35 am-2:25 pm — 0 seats open