PHYS 398 DAP - Probability and Data Analysis

Fall 2023

Soph/Junr Special Topics PhysPHYS398DAP76433LCD31030 - 1150 T R  276 Loomis Laboratory Anne M Sickles
Mark Neubauer

Official Description

Topical offerings of technical interest, skills, and knowledge in physics, and its practice, intended to augment the existing curriculum at the intermediate level. Course Information: Approved for Letter and S/U grading. May be repeated in separate terms up to 12 hours if topics vary. Prerequisite: See Class Schedule or departmental course information for topics and prerequisites. For students with sophomore or junior standing.

Section Description

This course presents a basic introduction to probability and data analysis from a physics perspective. The methods of extracting meaningful information from data using probability theory and statistical analyses will be presented. Additionally, students will gain familiarity with the concepts through programming exercises using Python notebooks. Topics to be covered include: basics of statistics and probability theory, probability distributions, estimators, uncertainties, confidence intervals and hypothesis testing, Fourier and Monte Carlo methods.