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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…

In the first module, you will explore sustainability studies, including key concepts such as sustainability, resilience, and equity. You will also examine international agreements and policy developments, including Agenda 2030 and the…

The course is based on the recurring discussion about how risks should be managed and security created to avoid crises for businesses such as companies and authorities. The course provides tools for understanding risk management from…

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…

This course on Bayesian statistics covers methodology, major programming tools and applications in this field. The course starts with a review of conditional probability and Bayes’ Theorem. Introduction to the Bayesian approach will follow…

Analytics refers to our ability to collect and use data to generate insights for fact-based decision-making. The course is designed for students with a basic knowledge of statistics, and the content of the course will be of practical…

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…