PhD Courses in Denmark

The objective of this course is to provide an understanding of the various aspects that are important when searching for literature as part of your PhD.We recommend that you take this course in the beginning of your PhD.The course covers these areas: Stru

The objective of this course is to provide an understanding of the various aspects that are important when searching for literature as part of your PhD.We recommend that you take this course in the beginning of your PhD.The course covers these areas: Stru

The objective of this course is to provide an understanding of the various aspects that are important when searching for literature as part of your PhDWe recommend that you take this course in the beginning of your PhD.The course covers these ar

The aim of this course is to give the participants an idea of how the mathematical vocabulary is used and the strength of using it properly. This is needed by engineering PhD's when reading papers, which will often use the common language of mathemati

The aim of this course is to equip PhD students with a comprehensive understanding of cutting-edge natural language processing (NLP) technologies and their application in real-world industrial settings.  Solid understanding of these vital NLP techniq

Welcome to Advanced structure elucidation by spectroscopyDescription:This is a one week tutorial (guided problem solving). After a brief introduction of how to extract information from mass spectrometry (high resolution) and NMR spectroscopy (1D and 2D co

The notion of Artificial Intelligence (AI) dates back approx. 70 years as a research field and even longer if one considers fiction writers. A number of different definitions of AI has been suggested over the years, but none seem

During the last decades, Bayesian statistics has gained enormous popularity as an elegant and powerful computational tool to perform statistical analysis in complex stochastic models as applied in engineering, science and medicine. Bayesian statistics off

This course on biostatistics focused on the complexity of data collected in biomedical research. Therefore, the course focused on topics like sample size estimation, meta-analysis and multi-factorial methods.Prerequisites: BIOSTATISTICS I or equivale

After a short survey of basic statistical concepts such as estimation, significance tests and confidence intervals, an introduction will be given to the analysis of designed experiments, including analysis of variance and factorial designs. The course wil