PHY-890D: Advanced Data Analysis
This course introduces physics graduate students to the use of statistics and probability to interpret experimental data, test hypotheses, estimate physical parameters, account for statistical and systematic errors, assign confidence levels, and set upper limits in the absence of a result.
The goal of the course is to acquire experience with advanced data analysis methods, so that they can later be applied to real data analysis problems in various areas of physics research. We will draw examples from current literature, and gain familiarity with some of the available software tools.
The goal of the course is to acquire experience with advanced data analysis methods, so that they can later be applied to real data analysis problems in various areas of physics research. We will draw examples from current literature, and gain familiarity with some of the available software tools.
Level:
Graduate
Credits:
3
Semester(s) offered:
Occasional
Course Schedules
Semester | Sec | Instructor | Times / Rm |
---|---|---|---|
Fall 2013 |
1 |
Laura Cadonati |
TuTh 1:00 LGRT 1033 |
Spring 2012 |
1 |
Laura Cadonati |
TuTh 1:00-2:15 LGRT 1033 |
Department of Physics