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Aug 25, 2025
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PHY 322 - Data Analysis & Visualization Description How do we extract meaning from experimental data and communicate that meaning to others? This course surveys common computational techniques for data analysis, including data parsing and filtering, model fitting, significance testing, time series and spatial analysis, and other tools from statistics and machine-learning. Emphasis will be placed on the practical application of these methods to datasets from physics, astrophysics, and related fields, as well as the development of figures and presentations to effectively synthesize and communicate results. Prerequisite PHY 223 OR (MAT 111 AND PHY 111 AND CPS 111 )
Credits: 1
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