Causal inference is the task of drawing conclusions from data about the effects of treatments and other type of interventions. In epidemiology and clinical research, as well as in many other fields, ...

The course gives an introduction to fluid mechanics i.e. the mathematical description of the motion of liquids and gases (fluids). The course gives a continuum description of fluids, which is based on ...

This course provides an overview of behavioral economics. Behavioral economics incorporates descriptively accurate assumptions about cognitive ability, social interaction, moral motivation, and ...

The course introduces spatial analysis of geographic information using geographic information systems (GIS). Beginning with the fundamental concepts of GIS, such as geographic data types and spatial ...

Quantum computing (QC) is a cross-disciplinary area that draws from quantum physics, computer science and mathematics. Recent advances in building quantum computers are bringing QC from a purely ...

This course will introduce graduate students to diverse perspectives and recent approaches to international history, defined to include diplomatic history, transnational history, critical imperial ...

This course aims to explore challenges and policies related to urban sustainability transformations. Emphasis is placed on the social, cultural and spatial aspects of these challenges and policies.

This is an introduction course in epidemiological principles and use of epidemiological methods in international community health. Students will be able to explain ...

This is a course in basic mathematical and logical methods. Emphasis is placed on understanding and applying mathematical concepts and notation relevant to a study in computer science. The course ...

Reproductive health is a well defined and not too controversial concept. Reproductive rights may not be, as it implies abortion rights, which for some is very complicated. Sexual health is probably ...

The course gives a comprehensive overview over modern Natural Language Processing (NLP) with main emphasis on probabilistic and machine learning techniques. Methodology for experiments based on ...

The main part of the course presents the mathematics to describe the dynamic of rigid bodies. This includes how vectors and linear operators are represented by matrices. Then, the direction cosine ...