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Trend analysis is a creative process that aims to map and analyze cultural changes in society in order to predict the future. The purpose of the course is for the student to acquire knowledge of how trend analysis can be understood, as…

In recent decades, Sweden has faced an increasingly complex and dynamic threat landscape. Security policy changes, climate-related crises, cyberattacks, and system-threatening crimes have created new challenges for both civil and military…

During the course, several live-filmed visits are made to performing arts organisations in different countries and continents. Performing artists present and talk about their creations and the cultural and political context in which they…

During the course, several live-filmed visits are made to performing arts organisations in different countries and continents. Performing artists present and talk about their creations and the cultural and political context in which they…

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…

This course teaches you the basics of programming. You’ll learn core concepts such as data types, control flow (like loops and if-statements), and how to organise code using functions and classes. You’ll also explore programming techniques…

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)…

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 …

The aim of the course is to examine environmental change as a problem of governance. We scrutinize major governance dimensions - such as actors, institutions and problem structures - at multiple levels and across domains. This…

The course is only offered as a single subject course for incoming exchange students. International Relations Theory is a time-honoured approach to the social world. Texts that are clearly recognisable as dealing with international…

The aim of the course is to give advanced knowledge of comparative policy, particularly concerning the output side of the political system. This includes relationships between political institutions, political decision-making and public…

The course Swedish as a Foreign Language: Beginner's course 1 (7.5 credits) is designed for those who are interested in acquiring and developing basic Swedish language skills. By the end of the course you will be able to: Ask and respond…

The course is structured in accordance with the Common European Framework of Reference for Languages (CEFR). The teaching aims to provide the students with the knowledge and skills required to achieve language proficiency in Swedish…

The course is structured in accordance with the Common European Framework of Reference for Languages (CEFR). The teaching aims to provide the students with the knowledge and skills required to achieve language proficiency in Swedish…