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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 aim of the module is to train the students to plan, delimit, execute, report and critically review an independent, written dissertation.

The aim of the module is to train the students to plan, delimit, execute, report and critically review an independent, written dissertation.

The course focuses on urban and regional planning and how these activities can manage economic, environmental and social challenges in sustainable ways. Theoretical perspectives, mainly in economic geography, are related to these…

This course examines interrelations between space, place, built environment, urbanity and society. Through lectures, seminars, excursions and readings, students will explore critical urban theory. The course seeks to advancing both…

The course focuses on introducing methodologies through applied fieldwork. The first course element is concerned with preparation of fieldwork, including formulation of research questions, selecting between research methods, organisation…

The course aims to provide an introduction to the rapidly growing field of GIS, for students interested in applying it within their research or work. The course introduces students to some key conceptual debates and developments in GIS,…

This interdisciplinary course focuses on feminist and gender theoretical interventions in other surrounding fields of study. We learn about the ways in which a focus on gender, along with race,…

The course focuses on the foundation of development ideas as well as the roots of development problems and their multifaceted manifestations. It takes a comparative geographical and historical perspective from the…

The aim of the course is to examine the utility of theoretical concepts, perspectives and approaches to the understanding of Middle Eastern…

A Master’s thesis is a scientific research project of limited scale that is intended to exhibit the student’s capacity to work independently and carry out research. The intension of the thesis is to make a genuine contribution of new…

A Master’s thesis is a scientific research project of limited scale that is intended to exhibit the student’s capacity to work independently and carry out research. The intension of the thesis is to make a genuine contribution of new…

Module 1: The Multidisciplinarity of Sociology of Law You learn about the multidisciplinary research tradition within the sociology of law. The lectures cover the rich tradition of sociology of law, its concepts and perspectives, and how…

In this course you will write a special assignment, which could consist of a general investigation, a more specific problem, or a research topic. Using your previous skills and knowledge in Statistics, you will be trained in independently…

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 …