Statistical Methods in Experimental Physics

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Course Description

Statistical methods constitute a fundamental tool for the analysis and interpretation of experimental physics data. In this course, students will learn the foundations of statistical data analysis methods and how to apply them to the analysis of experimental data. Problem sets will include data-sets from real experiments and require the use of programming tools to extract physics results. Topics include probability and statistics, experimental uncertainties, parameter estimation, confidence limits, and hypothesis testing. Students will be required to complete a final project.

Cross Listed Courses

Grading Basis

ROP - Letter or Credit/No Credit

Min

4

Max

4

Course Repeatable for Degree Credit?

No

Course Component

Discussion

Enrollment Optional?

No

Course Component

Lecture

Enrollment Optional?

No

Does this course satisfy the University Language Requirement?

No

Programs

PHYSICS166 is a completion requirement for: