Data analysis II
Course structure
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 part will be a set of three lectures. The second part will be a three-week data analysis project with a report due in May. The assessment is comparised of the project report and an asessed presentation, that will be given at the end of the course.
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 |
|---|---|
| 17th Feb | Lecture1 - Monte Carlo techniques |
| 24th Feb | Lecture2 - Numerical optimisation |
| 3rd Mar | Lecture3 - Multivariate classification |
| 10th Mar |
Introduction to projects (Material on OLAT) ProjectI (Tracking Detector) ProjectII (Compton Scattering) ProjectIII (Experiment design) ProjectIV (Pion decay) |
| 17th Mar | Project session |
| 24th Mar | Status updates |
| 31st Mar |
Status updates |
| 21st Apr | Project reports due |
| 5th May | Presentations (mandatory) |
| 12th May | Presentations (mandatory) |
Podcasts
Lecturer/assistant
| Patrick Owen: | Y36 J 22 | (044 63) 55817 | powen@physik.uzh.ch | |
| Veleriia: | valeriia.lukashenko@cern.ch |
Assessment
The course will be graded 1-6 with 100% of the grade coming the project (report+presentations). A requirement to pass the course will be 50% of the marks.