DATA ANALYSIS IN EARTH SCIENCES
An introduction to data analysis, digital signal processing, machine learning and visualization techniques. Topics include: statistical methods to characterize uni- to multi-variate data, spatial data, time series and Fourier analyses, digital signal processing and filtering, data analytics and machine learning applications. Geophysics and environmental science applications will be emphasized.
Prerequisites & course information
Antirequisite(s): Computer Science 2034A/B, Computer Science 2035A/B . Prerequisite(s): 0.5 course from Calculus 1000A/B, Calculus 1500A/B, Mathematics 1225A/B, Numerical and Mathematical Methods 1412A/B, the former Applied Mathematics 1412A/B, the former Applied Mathematics 1413. Extra Information: 2 lecture hours, 3 laboratory hours. Course Weight: 0.50
Sources
- Course catalogue ↗2026-2027