Statistical Methods in Physics

About this programme

Making progress in science depends on our ability to obtain meaningful and reliable insights into experimental data. In this course, you will learn about insightful data analysis via statistical inference. The course provides an overview of the concepts of probability theory and the extraction of knowledge from measurements or observation. You will learn how to robustly extract information from uncertain observations, e.g. the separation of signals from backgrounds in particle or astrophysical applications. The course discusses various approaches to statistical data analysis, ranging from the “Maximum Likelihood” and the “Least Square” methods to Markov Chain Monte Carlo techniques. The course will provide a thorough epistemological background by covering major topics of statistical analyses such as estimation, confidence intervals, covariance matrices, hypothesis testing and the detection of signals, the treatment of systematic and stochastic uncertainties. The course will be accompanied by a practical lab. If you want to learn more after this course, the course Physical Measurement Techniques is recommended as a continuation. This is a second cycle course given at half speed during daytime. This course can also be taken as a third cycle course. The teaching consists of lectures, group education, exercises and practical labs. To follow your passion. To be close to international career opportunities. To explore city and countryside. In Stockholm you can really get the best of both worlds.