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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…

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

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…

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…

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…

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 …

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…

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)…