Welcome to the Advanced Laboratory Course for Master Students, Corona Special Edition!

The goal of the class is to learn the basics of modern experimental physics.  You will be working in a group with one occasionally two other students. During the class, each group will carry out up to 8 experiments from different fields of physics. Each experiment will be supervised by a tutor. Tutors help with carrying our experiments and grade experimental reports completed after the experiment. In addition to reports, each group will deliver one seminar-style talk about their experiment to the entire class. Please enjoy the class and be safe!

Prerequisites

This class is hard! (yes, really) You should only take it if you took a similar class on a Bachelor level. You should have experience with long-form scientific writing -- you will have to submit up to 8 lab reports, each report 10–15 pages long. You have to have experience in the areas of Quantum Mechanics, Solid State Physics, Statistical Physics (many experiments require a background in these subjects). Finally, you have to understand the basics of data analysis, such as error propagation, confidence intervals, fitting, etc... If you DO NOT have these prerequisites -- please do not take this class. Instead, register for "Preparatory Course to the Advanced Master Laboratory". This class is designed to give you this background and to prepare you for the Advanced Labs class next semester.

Important

1. The class is so far offered in presence format (unless the situation changes).
2.  The schedule of all groups/experiments/presentations will appear online in Blackboard. There will be contact info of all the tutors and students.
3. The experiments will start on Wednesday, April 28, 2021 (see schedule). Please talk to tutors in advance. The first seminar presentations will start two to three weeks later.
4. The safety instruction, which is compulsory for every participant (!), will be take place on Tuesday, April 20. 2021 from 14:00 - 16:00 (online). The link will be released in time.
   
5. I will present a lecture on Data Analysis on Tuesday, April 27, 14:00 - 16:00 (online).
6. You are welcome to use Blackboard for the discussions related to the class. You can use it to meet partners, exchange data, ask for help, discuss anything related to the class.

Offered experiments