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 50% of the grade from exercise sheets and another 50% from a test given in the middle of the course. The requirements to pass the course will be to get at least 50% of the marks from the exercise sheets and at least 50% of the marks in the exam.
Midterm test (14th November at 15:00 in Y36 J 23 and Y36 J 33):
* The midterm test is worth 50% of the overall grade
* It is based on the first eight lectures.
* There will be a formula sheet which will be shared beforehand this formula sheet is provided as part of the exam.
* Apart from the formula sheet, the test is closed book.
* A calculator is allowed to be used during the exam (but likely not needed).
Lecturer/Assistants
Patrick Owen
Martin Andersson / Jose Cuenca Garcia / Sergio Sanchez Cruz
Contact
| Patrick Owen: | Y36 J 22 | powen@physik.uzh.ch | ||
| Jose Cuenca Garcia | Y36 K 38 | jcuenc@physik.uzh.ch | ||
| Sergio Sanchez Cruz: | CERN | sergio.sanchez.cruz@cern.ch | ||
| Martin Andersson: | Y36 J 24 | martin.andersson@cern.ch |
Information and material
Material from previous and related courses
- Data analysis (HS2022; 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