Learning from data
About
In this course, you will learn how to analyze scientific data using statistics and machine learning. You will focus on Bayesian inference, which is a way of measuring how likely something is based on facts and evidence. You will apply Bayesian inference to real-world problems in natural and engineering sciences, and try to reproduce some cutting-edge scientific results. The students will use the Python programming language, with relevant open-source libraries, and will learn to develop and structure computer codes for scientific data analysis projects.
Prerequisites and selection
Entry requirements
Bachelor in Physics or similar. Applicants must prove their knowledge of English: English 6/English B from Swedish Upper Secondary School or the equivalent level of an internationally recognized test, for example TOEFL, IELTS.
Selection
Selection is based upon the number of credits from previous university studies, maximum 165 credits.
