Data Analysis for the Physical Sciences
PHYSICS 201
Subject & Catalog Number
Course Information
Description
This course covers methods for analyzing experimental data. Students will learn a Bayesian framework for statistical inference, modern computational methods such as Markov-chain Monte Carlo techniques, and the application to problems in particle physics, biophysics, condensed matter, applied physics, astrophysics, and other fields. The course emphasizes an intuitive, principled approach to data analysis and will involve discussions of ethics and reproducible research.
Course Notes
This course is suitable for students with limited or rusty programming skills.
Recommended Prep
Research experience commensurate with that of a first-year (or higher) PhD student in experimental physics. Students without such experimental experience must have taken Physics 191 or Physics 247 (or equivalent) first.
Available for Harvard Cross Registration
