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This course is a follow-up of the data analysis course PHY231. The course is worth 2 ECTS and is focussed on some more practical aspects of data analysis. The course will be split into two parts. The first half will be a set of three lectures with accompanying exercise sheets. The second half will be a three-week data analysis project with a report and presentations due in May. The schedule is shown below:
Time and location: Y36 K 08 on Tuesdays at 10:15-12:00
Zoom link for lectures: [here] Password communicated by email (please ask if you are not yet subscribed).
OLAT for material: link here
| Date | Notes |
|---|---|
| 20th Feb | Lecture1 - Monte Carlo techniques |
| 27th Feb | Exercise session |
| 5th Mar |
Lecture2 - Numerical optimisation |
| 12th Mar | Exercise session |
| 19th Mar | Lecture3 - Multivariate classification |
| 26th Mar | Exercise session |
| 9th Apr |
Introduction to projects (Material on OLAT) ProjectI (Tracking Detector) ProjectII (Compton Scattering) ProjectIII (Experiment design) ProjectIV (Pion decay) |
| 16th Apr | Project session |
| 23rd Apr | Status updates |
| 7th May | Project reports due |
| Patrick Owen: | Y36 J 22 | (044 63) 55817 | powen@physik.uzh.ch | |
| Martin Niels Andersson: | Y36 J 24 | martin.andersson@cern.ch |
The course will be graded 1-6 with 50% of the grade coming from the exercise sheets and 50% coming from the project (report+presentations). A requirement to pass the course will be 50% of the marks from the exercise sheets and 50% on the project.
