Call Number | 11425 |
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Day & Time Location |
MW 10:10am-11:25am To be announced |
Points | 4 |
Grading Mode | Standard |
Approvals Required | None |
Instructor | Alberto M Malinverno |
Type | LECTURE |
Method of Instruction | In-Person |
Course Description | Prerequisites: calculus. Recommended preparation: linear algebra, statistics, computer programming. Introduction to the fundamentals of quantitative data analysis in Earth and environmental sciences. Topics: review of relevant probability, statistics and linear algebra; linear models and generalized least squares; Fourier analysis and introduction to spectral analysis; filtering time series (convolution,deconvolution,smoothing); factor analysis and empirical orthogonal functions; covariance and correlation; methods of interpolation; statistical significance and hypothesis testing; introduction to Monte Carlo methods for data analysis. Problem sets and term project require use of MATLAB or Python. |
Web Site | Vergil |
Department | Earth and Environmental Sciences |
Enrollment | 0 students (20 max) as of 9:05PM Tuesday, April 1, 2025 |
Subject | Earth and Environmental Sciences |
Number | GR6908 |
Section | 001 |
Division | Graduate School of Arts and Sciences |
Section key | 20253EESC6908G001 |