Linear Algebra and Learning from Data

About this programme

We'll pay more attention on how to abstract relevant mathematics and structures from applications for example data and how to apply the theory you've studied. The course will start with some elementary elements in linear algebra e.g. SVD, principal components, matrix norms, generalized eigenvalues and interlacing eigenvalues. In particular we'll deal with these topics in a numerical sounding way. Later we'll turn to an interactive treatment of linear algebra and subjects from data. 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. Here we explain all the different steps you need to go through when applying to a course or programme. Stockholm University arranges regular webinars and participates in educational fairs and events virtually and around the world to meet students and inform them about our study programmes. Every year Stockholm University welcomes thousands of international students from all over the world. Each bringing their own backpack full of experiences, expectations and dreams. Education and research are closely linked at Stockholm University. As a student, you will have direct contact with leading researchers in your field and access to the most recent scientific findings. Are you wondering what former students thought about your programme? Are you curious about what your education can lead to after graduation? Hear from our alumni!