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The objective of this course is to give the students an understanding and hands-on knowledge of fundamental methods within financial risk management. The course deals with two main topics: measurement and management of market risk and…

The course primarily treats issues related to economic growth using advanced dynamic macroeconomic models with intertemporally optimising agents. Within the framework of growth theory, dynamic models in continuous and discrete time…

The aim of this course is to provide students with the theoretical understanding of how a geographic database is built-up and how it can be used. You will study key concepts for handling geographic databases with special focus on spatial…

The course contains a number of different basic components of spatial analysis, both in terms of theoretical background and analytical methods. Some of the concepts and techniques covered in the course are point pattern analysis,…

The degree project requires a literature review and special studies. In addition, it includes a number of compulsory elements, in the form of lessons and seminars, which deal with, among other things, scientific writing in English and…

Simulation techniques is a field which merges experience in modelling with knowledge in Scientific Computing and programming skills. The course gives students in a late stage of their university studies the possibility to work, in small…

The course covers: Models of computational fluid dynamics Hyperbolic conservation laws and their basic properties (weak solutions, weak entropy solutions, shocks) Discontinuous Galerkin discretizations Simulations of gas dynamics…

The course gives an introduction to error estimates, convergence and stability, as well as existence and regularity of solutions to elliptic differential equations (PDEs). This is followed by an introduction to DUNE-FEM which discusses how…

The course provides students with a general overview of the development of Greek from Antiquity to the present, focusing on the period from the late Byzantine to the modern era with regard to changes in sound system, grammar and syntax…

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 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 …

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)…

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…

The course is conveyed through recorded lectures and instructed self-studies, as well as written discussions where your participation is expected. During the course we will cover five areas:  Introduction to global health. Global…

How can a global health program apply a right based approach? Is health a necessity for the enjoyment of human rights? These are some of the questions that you will have the opportunity to explore through web-based lectures, seminars and…

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…