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This course is an introduction to the rapidly growing field of Corpus Linguistics and its application in Modern Greek studies. Corpus Linguistics (CL) is a method to retrieve data to study natural occurring language in different contexts…

The ability to argue well is one of the core competencies expected of citizens, politicians, companies, and students. The purpose of this course is to discuss and provide a vocabulary and instruments for the analysis, evaluation, and…

The course introduces different theories of translation, from classical contributions to modern theories that build on semiotics, the general science of meaning. Central questions dealt with include the nature of the act of translation,…

The fundamentals of machine learning, and the mathematical and computational prerequisites for deep learning Feed-forward neural networks, convolutional neural networks, and the recurrent connections to a feed-forward neural network …

In this course you will learn modern statistical computing as viewed in data science through implementations in popular computing platforms such as R and Python. It covers the following topics: The R and Python environment: R packages…

The course provides an introduction to statistical analysis of text. You will study both methods based on classic statistical approaches (including Bayesian models) and modern approaches such as deep learning (recurrent neural networks)…

Machine learning refers to statistical model predictions that that improve through experience; as new data arrive, the model learns and adapts. For instance, the price that the supermarket can charge for advertisements depends critically…

This course covers advanced machine learning methods that are relevant for applications in business and economics, and is intended as a continuation of STAN51 Machine Learning from a Regression Perspective. Some of the topics covered…

The course covers matrices and multivariate normal distribution singular value decomposition and its geometric interpretation principal component analysis including its functional formulation factor analysis cluster analysis …

The course consists of supervised study and group discussion of selected texts, independent study and oral presentation of selected primary texts and a detailed outline of the projected master’s thesis.

Special attention is paid to institutions and spaces where religious identities were shaped, and in addition to written sources, the course focuses in particular on archaeological remains, art, inscriptions, and papyri. These studies will…

In order to illustrate the models and nuclear reactions which are used in today's subatomic research we follow a few current projects with connection to the research at the divisions of nuclear physics and high-energy physics in Lund from…

The course contains: Electromagnetic radiation and non-photonic astronomy. The influence of the atmosphere on observations. Detectors for optical and infrared radiation. Detectors for radio waves. Noise characteristics of detectors. Signal…

The course gives you an ability to perform calculations and derivations using a modern quantum mechanical formalism, especially in vector spaces with continuous eigenvalue spectra. You should also achieve an improved ability to assimilate…

The aim of the course is to give deepened knowledge in the physics of accelerators and experience in both calculations and modeling of accelerator systems. In addition the course aims at providing a fundamental understanding of the Free…

The course should provide understanding of physical, chemical and meteorological processes in the atmosphere as well as environmental concequences of changes of atmospheric composition caused by human activities, such as climate change and…