Data Analysis FS21
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 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:
Contact time: Tuesdays at 10:00
Zoom link for lectures: [here] Password communicated by email (please ask if you are not yet subscribed).
Zoom link for exercises: [here]
| Date | Notes |
|---|---|
| 23rd Feb | Lecture1 - Monte Carlo techniques (PDF, 7 MB) Recording |
| 2nd Mar | Exercise session - sheet1 (PDF, 195 KB) gauss_MC (TXT, 2 KB) |
| 9th Mar | Lecture - Numerical optimisation (PDF, 5 MB) |
| 16th Mar | Exercise session sheet2 (PDF, 120 KB) |
| 23rd Mar | Lecture - Multivariate analysis |
| 30th Mar | Exercise session |
| 13th Apr | Introduction to projects |
| 4rd May | Project reports due |
| 11th May | Project presentations |
Lecturer/assistant
| Patrick Owen: | Y36 J 22 | (044 63) 55817 | powen@physik.uzh.ch | |
| Vadym Denysenko: | Y36 J 24 | (044 63) 55779 | da@physik.uzh.ch |
Assessment
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.