PHY231 Data Analysis I
Content delivery and attendance
Lectures: The lectures will be delivered live at the campus, with a podcasts recorded for offline.
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 (15th 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).
Jonas Eschle / Jose Cuenca Garcia / Sergio Sanchez Cruz
|Patrick Owen:||Y36 J email@example.com|
|Jose Cuenca Garcia||Y36 K 38||\|
|Sergio Sanchez Cruz:||CERNfirstname.lastname@example.org|
Information and material
Material from previous and related courses
- Data analysis (HS2021; 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