PHY231 Data Analysis I
Contant overview
This course provides the basics of data analysis for the physical sciences, focussing on statistics. The course covers the following topics:
- Bayesian and frequentist probability
- Statistical and systematic uncertainties
- Probability distribution functions (PDFs)
- Correlation and covariance
- Error propagation
- Hypothesis testing
- Least squares fitting
- Maximum likelihood method
- Confidence and credibility
The course is structured with weekly 45 min lectures along with 2 hr exercises in python in the afternoon. The content is strongly based on the book by R. J. Barlow, titled "Statistics"
Content delivery and attendance
Lectures: The lectures will be delivered live at the campus, lived streamed on zoom, with a podcasts recorded for offline. Zoom link: https://cern.zoom.us/j/67877652936 Password: Communicated via email
Exercises: There are two rooms available for exercise classes in python. The places will be decided on a first-come-first-serve basis but is enough space for everyone.
| Lectures: | Tuesdays 09:00 to 09:45 in Y16 G 05 |
| Exercises: | Tuesdays 15:00 to 17:00 in Y36 J 23 und Y36 J 33 |
Assessment
The course will be graded 1-6. With 100% of the grade from exercise sheets that are given every two weeks. The requirements to pass the course will be to get at least 50% of the marks from the exercise sheets. The exercise sheets will be given in python (apart from one in the middle of the course).
Lecturer/Assistants
Patrick Owen
Marta Babicz, Giovanni Celotto, Vadym Denysenko
Contact
| Patrick Owen: | Y36 J 22 | powen@physik.uzh.ch | ||
| Marta Babicz | Y-36 K 40 | marta.babicz@physik.uzh.ch | ||
| Giovanni Celotto | CERN | giovanni.celotto@cern.ch | ||
| Vadym Denysenko | Y36 J 24 | vadym.denysenko@physik.uzh.ch |
Information and material
Material from previous and related courses
- Data analysis (HS2023; P. Owen) - Lectures from last year
- Datenanalyse (HS2018; O. Steinkamp) - Lectures from 2018 (slightly different content).
- Datenanalyse (SS2004; H.Pruys) - Lectures from 2004, which have some things in common.
- Statistical Methods and Analysis Techniques in Experimental Physics, (FS2015; C.Grab) - Further lectures within the joint masters program "Particle Physics" between UZH and ETH