PHYS391

This course focuses on advanced data analysis methods used for conducting research in physics. Coursework will consist of worksheets, where students learn concepts by carrying out computational exercises and simulations in the python programming language, alternating with projects where students analyze real data and communicate their results in written reports. Topics covered may include error distributions, Bayesian parameter estimation, Markov Chains, Monte Carlo techniques, and machine learning.

Odd Years

Spring Semester