PHYS 5002
Statistical Data Analysis Techniques for Physics
Computational methods used in analysis of experimental data. Introduction to probability and random variables. Monte Carlo methods for simulation of random processes. Statistical methods for parameter estimation and hypothesis tests. Confidence intervals. Multivariate data classification. Unfolding methods. Examples taken primarily from particle and medical physics.
Prerequisites & course information
Prerequisite(s): an ability to program in Python, Java, C, or C+ +, and permission of the Department. Also offered at the undergraduate level, with different requirements, as PHYS 4807 , for which additional credit is precluded.
Sources
- Course catalogue ↗2026–2027