This course provides an introduction to the field of global health and global health research. Taking an interdisciplinary approach, the course discusses a variety of perspectives on global health ...

Course content The course introduces energy exchange processes at the Earth’s surface, connecting the coupled cycles of water, energy and greenhouse gases of the atmosphere and ground. You will become ...

The following topics will be covered: Liquid drop model, nuclear mass and binding, fission, pairing, shell structure, spin-orbit coupling, single-particle states, electromagnetic moments, nuclear ...

These, and similar questions, are central in this course, which presents sociological and geographical theories about social movements and empirical research on collective action and protest. The ...

Course content This course will survey the history of Anglo-American rock music from the 1950s to the early 1980s. It will trace the emergence of interracial pop, the rise of the genre during the ...

The aim of the course is to make the participants acquainted with basic statistical ideas and methods. No special previous knowledge of mathematics or statistics is assumed. The statistical software R ...

The aim of this course is to provide an introduction to basic proteomics techniques. PhD candidates from the University of Oslo should apply for classes and register for examinations through ...

This course deals with the question of how territorial (regional, national) economies change over time with particular attention to the intersection of industrial development with sustainability ...

The precise contents of this course will vary, but will consist of selected themes of contemporary research in advanced statistical methodology. The content will depend on both requests from PhD ...

Perspectives on equality, justice and education in the context of globalization and social change. Topical issues and dilemmas regarding social justice in education and education for social justice ...

The course will give fundamental knowledge and experience with methods and tools for data collection, quality checks, data structures, preparation of data for analyses and statistical methods.

Learning outcome Formulation and analysis of finite element methods for a range of problems in computational mechanics.