51ÖØ¿ÚÁÔÆæ

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 how to construct graphs and visualisations according to the theory Grammar of Graphics. You will also learn how to create visualisations yourself using the software R and its package ggplot2. A central part…

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…

The course covers matrices and multivariate normal distribution singular value decomposition and its geometric interpretation principal component analysis including its functional formulation factor analysis cluster analysis …

This course in political science is offered to students in 51ÖØ¿ÚÁÔÆæ's Bachelor Programme in Development Studies (BIDS). The course explores the political dimensions of development policies and processes with an emphasis on the…

This course is open to students in the BSc in Development Studies programme (BIDS) majoring in Political Science. The course introduces International Political Economy (IPE) with an emphasis on theories, theorists and issues that…