PhD Courses in Denmark

Welcome to Advanced Optimization Techniques for Energy Systems Planning and OperationDescription: Optimal decision-making is a must in energy system planning and operation as the non-optimal decisions may lead to high economic losses and/or

This course will outline theory and practice of qualitative research. The entire course will have a very applied approach towards qualitative studies. A variety of methodological approaches will be introduced and a special focus will be within: How to imp

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

Welcome to Application of MiDAS reference databases: Microbial ecology in wastewater treatment and bioenergy systemsDescription: The course covers aspects of microbial ecology in wastewater treatment and bioenergy systems, with focus on activate

Welcome to Artificial Intelligence and Advanced Data Analytics for Power ElectronicsDescription:Artificial intelligence (AI) has significantly revolutionized research activities and industrial applications in image processing and natural language processi

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

Welcome to Biostatistics I Description: This is a basic course in statistics, and it focuses on the application of statistics to describe and analyze data (i.e., descriptive, and inferential statistics). The course will use different exampl

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

Welcome to Data Science using RDescription: In todays data-driven world, the ability to handle quantitative data systematically and reproducibly using reliable software is essential. This course, Data Science with R, is designed to introduce you to R