PHY231 Data Analysis I

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.

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).

Patrick Owen

Jonas Eschle / Jose Cuenca Garcia / Sergio Sanchez Cruz

• Lecture notes (OLAT)
• Exercise sheets (OLAT)
• Entry in the annotated course catalog
• Informatik I für Physiker
• Python Cheat Sheet (PDF, 110 KB)

• 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