The course provides knowledge of sequencing technologies and hands-on experience with the analysis of data from several current sequencing platforms and for various biological and medical applications ...
Development Economics addresses development issues for poor countries. The course aims at explaining the causes and effects of poverty and deriving policy implications. The course is based on ...
The course provides a review of general algorithm classes such as dynamic programming, heuristic algorithms, probabilistic algorithms, and a representative selection of single algorithms that solve ...
The course covers methods for analysis of digital images, segmentation, and object description. Central topics are feature extraction and classification of objects in images. have good knowledge on ...
The course aims to give insight into a standard description of the English language and into the relationship between the meaning and the grammatical form of sentences and texts. Frequent comparisons ...
Computer vision is the study of how a machine, such as an unmanned system, can interpret and understand its surrounding environment using visual data such as images and video. This course will give an ...
This course will introduce graduate students to diverse perspectives and recent approaches to international history, defined to include diplomatic history, transnational history, critical imperial ...
Hydrogen is a low-carbon, versatile energy vector which is to play an important role in the transition towards sustainable societies based on renewable energy sources. In this course we explore the ...
This is a basic course in advanced econometrics. Econometrics deals with evaluating economic theories and models, and investigating their validity by confronting them with data, using statistical ...
This course gives you an introduction to systems with multiple agents/units/robots that mutually depend on each other’s behavior in order to evaluate their own or collective system performance. The ...
The course explores modern techniques in organic synthesis, such as coupling chemistry, unsymmetric reactions and C-H-activation. The course focuses on different ways to influence regio- and ...
The course focuses on advanced algorithms and architectures for deep learning with neural networks. The course provides an introduction to how deep learning techniques can be used to design important ...