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The course seeks to advance both comprehensive understandings of e.g. history of economic thought, as well as insight into contemporary geographical dimensions, issues, challenges, and conflicts addressed by economic and political-economic…

The course aims to provide an introduction to the rapidly growing field of GIS, for students interested in applying it within their projects and research. It is strongly interdisciplinary in scope, and thus is appropriate for students from…

The course surveys mostly qualitative approaches, including thematic analysis, (qualitative) content analysis, and narrative analysis. It discusses also some quantitative approaches, such as event analysis and (quantitative)…

One of the challenges and pleasures of Gender Studies is interdisciplinarity. The concept and practice of interdisciplinarity has been discussed, debated and theorized with in Gender Studies since it developed as a research area in…

Current Key Issues in Development Studies This course is about development and sustainability in times of poverty, inequality and climate change. It is interdisciplinary and attracts students from several social science disciplines and…

This is an overview course examining the political and social development of the Middle East from the early 20th century until today while also putting the region in comparative perspective. The course uses social scientific…

Artificial Intelligence (AI) can be understood as systems which show intelligent behaviour by analysing their environment and with some degree of autonomy act to reach certain goals. In colloquial language, AI has become an umbrella term…

The course explores the various socio-political processes that have been taking place in the Middle East since the beginning of the 21st century. The objective is to enable the student to learn and critically reflect on the current debates…

The course provides students with an introduction to the field of cultural and creative industries and NGOs from a historical and theoretical perspective. Theoretical key concepts related to production and consumption, and the organisation…

The course consists of three parts. The first part introduces the historical development and evolutions of managing quality in organizational contexts. In the second part the students are introduced to key concepts, definitions, strategies…

The course is mandatory for social work students enrolled in the in the Master of Science Programme in Welfare Policies and Management. This course is also offered as a single subject course in Social Work at the second-cycle level…

The aim of this course is to provide students with an in-depth knowledge of sociology of law while explaining how various theoretical traditions can be employed in analyzing concrete social issues which we confront today. The course will…

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…

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…