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Massachusetts Institute of Technology

Computational Data Science in Physics I

Massachusetts Institute of Technology via MITx Online

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Overview

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Explore realistic, contemporary examples of how computational methods apply to physics research. In this first module, you will analyze LIGO data, detect a gravitational wave signal, and fit this signal within a physical model, among other objectives, using Jupyter notebooks.

Syllabus

Probability distributions, error propagation, data fitting, uncertainty, likelihood, Fourier analysis, confidence, correlations, covariance, matched filtering, working with Jupyter notebooks.

Taught by

Philip Harris, Isaac Chuang, Jesse Thaler, and Alex Shvonski

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