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This course provides the basics of data analysis for the physical sciences, focussing on statistics. The course covers the following topics:
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"
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 |
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 (12th 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.
* A calculator is allowed to be used during the exam (but likely not needed).
Patrick Owen
Marta Babicz, Giovanni Celotto, Vadym Denysenko
| 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 |
