Statistical Methods in Physics and Engineering

The course gives an understanding of and practical skills with statistical methods that are used in physics. The course contains Bayesian vs. frequentistic statistics, uncertainties, probability distributions, expectation value and variance, parameter estimation, hypothesis testing, basic orientation on common software tools, numerical minimising procedures, simple Monte Carlo generators and unfolding of functions from data. **Outline for distance course:** In the distance course, communication between teachers and students is done using the learning management system and e-meeting tools. A computer with a stable internet connection and webcam is required. It will be possible to attend some of the sessions on campus, for those that want to.