EARTHSCI 2222A
0.50 credit · Main
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.
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.
Computer Science 2034A/B, Computer Science 2035A/B.
2 lecture hours, 3 laboratory hours.
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