Statistical methods for climate science

About this programme

Climate may be defined as “the statistics of weather". In this course you will learn the basic concepts of statistics and machine learning, and apply them to atmospheric and oceanographic data. The course covers the statistical analysis of time series, and the analysis of spatially distributed fields by using empirical orthogonal functions (EOFs). It also covers artificial neural networks and the algorithms of supervised and unsupervised learning. Grading criteria, course literature and other material and correspondence related to the course will be available on the course Athena site once you have registered for the course. 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