Methods in Data Analysis
9 units (3-0-6) |
Prerequisites: Ma 1 or equivalent.
Introduction to methods in data analysis. Course will be an overview of different ways that one can quantitatively analyze data, and will not focus on any one methodology. Topics will include linear regression, least squares inversion, Fourier analysis, principal component analysis, and Bayesian methods. Emphasis will be on both a theoretical understanding of these methods and on practical applications. Exercises will include using numerical software to analyze real data. Not offered 2021-2022.
The online version of the Caltech Catalog is provided as a convenience; however, the printed version is the only
authoritative source of information about course offerings, option requirements, graduation requirements,
and other important topics.