51ÖØ¿ÚÁÔÆæ

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 …

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)…

In this course you will write a thesis, which could consist of a specific problem or a research topic. Using your previoius skills and knowledge in Statistics, you will be trained in independently investigating a problem. Apart from…

Compulsory masters's thesis course for the students in the master´s programme MSc (Two Year) in European Affairs.

The course implies that the students design and execute a scientific inquiry on their own. The students should identify a relevant research problem in the field of European Affairs, select an appropriate method, process a comprehensive…

The overall aim of the course is to provide a theoretical and empirical orientation of different explanations and analyses of contemporary wars and attempts to achieve a more peaceful world. The course highlights theoretically how war as…

For a long time, the question of power has played a minor role in the literature on environmental politics and transformation. This course brings together these two themes. Such a combination is instructive for several reasons. First and…

The course analyses the historical development of ethnic and religious minorities in the Middle East from the downfall of the Ottoman Empire to the present day. The course also draws attention to the unique aspects of different groups in…

The purpose of the course is to deepen students' knowledge and skills in some of the main areas of research in comparative politics. Of particular importance are theories, methods and empirical results that relate to political decision…