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 (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).
Martin Andersson / Jose Cuenca Garcia / Sergio Sanchez Cruz
|Patrick Owen:||Y36 J firstname.lastname@example.org|
|Jose Cuenca Garcia||Y36 K email@example.com|
|Sergio Sanchez Cruz:||CERNfirstname.lastname@example.org|
|Martin Andersson:||Y36 J email@example.com|