An introduction to data analysis and visualization techniques, including: data types and transformation, statistical methods to characterize uni- to multi-variate data, spatial data and interpolative mapping, time series and Fourier transformation, and signal processing. Earth science applications will be emphasized. Includes MATLAB basics for data and time-series analysis and visualization.

the former Applied Mathematics 1412A/B, the former Applied Mathematics 1413.

Essential skills and computational tools for working with data from a number of disciplines. Uses MATLAB for data analysis and visualization through basic statistics, numerical computing, and programming, with interdisciplinary applications ranging from image processing to financial computing, and more. Suitable for both Computer Science and non-Computer Science students.

0.5 course in Applied Mathematics, Calculus, Mathematics, Statistics (including Introductory Statistics) at the 1000-level or above.

COMPSCI 2035A/B

DEALING WITH DATA: ANALYSIS AND VISUALIZATION

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