
DTU Compute PhD Seminar DTU Department of Informatics and Mathematical Modeling 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...

Bayesian Scientific Computing DTU Department of Informatics and Mathematical Modeling General course objectives: Bayesian statistics is concerned with inference on variables that are not directly observable. The unknowns of primary interest are detrmined based on a priori information about them...

DTU Compute PhD Seminar DTU Department of Informatics and Mathematical Modeling 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...

Convex optimization DTU Department of Informatics and Mathematical Modeling 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 largescale optimization. The students will...

Computational Uncertainty Quantification for Inverse Problems DTU Department of Informatics and Mathematical Modeling General course objectives: Uncertainty Quantification (UQ) is the science of quantifying, characterizing, tracing, and managing uncertainty in computational and real world...

Computational data analysis DTU Department of Informatics and Mathematical Modeling General course objectives: To provide the student knowledge of advanced computer intensive data analysis methods with applications to e.g. life sciences. These include problems with many variables and relatively...

Communicate your research with video DTU Department of Informatics and Mathematical Modeling General course objectives: Storytelling  from research to narrative Practical recording technique  Image, cropping and sequences, Interview technique, Light. Audio. Editing  Cut video and audio,...

Bayesian Data Analysis DTU Department of Informatics and Mathematical Modeling General course objectives: After the course, the student can explain the central concepts in Bayesian statistics, and name steps of the Bayesian modeling process. The student can recognize usages for common (i.e....

Advanced Analysis Techniques DTU Department of Informatics and Mathematical Modeling General course objectives: The students will learn one or more advanced techniques for modeling and analysis of programs  thereby complementing their previous knowledge of modeling and analysis techniques, and...

Advanced Topics in Machine Learning DTU Department of Informatics and Mathematical Modeling 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...