PhD Courses in Denmark

General course objectives:To introduce the student to new trends in statistical signal processing and machine learning.Learning objectives:A student who has met the objectives of the course will be able to:Comprehend and apply advanced methods within mach

General course objectives:The course will provide students with the mathematical tools for applyingalgebraic techniques to graph theoretic questions. The main focus will be applying linearalgebraic tools to matrices associated to graphs in order to reveal

General course objectives:To provide the student knowledge of advanced computer intensive data analysis methods with applications to e.g. life sciences. To apply the methods on a problem with own data.Learning objectives:A student who has met the objectiv

General course objectives:The aim of the course is to provide students with a general overview of convex optimization theory, its applications, and computational methods for large-scale optimization. The students will learn how to recognize convex optimiz

General course objectives:The course aims to improve participants’ writing processes by training meta-reflection on the participants own writing process. This is done both theoretically by the introduction of research based mental models and by practice o

General course objectives:The aim of this course is to give a broad introduction to the life as a PhD student. The focus is on a number of topics and specific that are vital for the PhD student’s work and future career. Moreover, the coourse gives an intr

General course objectives:The summer school is targeted toward PhD students working with data science broadly and for whom generative modelling potentially plays a part in their projects. The objective of the course is to introduce the students to the bas

General course objectives:Make the participants able to perform a standard statistical analysis of their own data and relate the results to the practical application. The participants will be able to carry out statistical analyses using the statistical pa

General course objectives:Multi-modal learning is an innovative field in machine learning that focuses on integrating and leveraging data from multiple diverse sources or modalities. This approach aims to create more robust, accurate, and comprehensive mo

General course objectives:Modern analysis of boundary value problems for partial differential equations (PDE) relies on the theory of pseudodifferential operators. In addition to establishing locally the existence, uniqueness and regularity of solutions o