read and understand the notation and analyses of a wide class of models in the scientific literature, including foundational topics in microeconomics formulate and formalize a wider range of models ...

This course will cover current topics in cognitive psychology, cognitive and clinical neuroscience, as well as issues relevant to science in general (e.g., publication bias, reproducibility). Unlike ...

The course provides an introduction to the field of global health. It focuses on key global health issues, which are addressed using an interdisciplinary perspective. Topics that will be covered ...

Societies must transform to reduce their dependence on carbon-based energy sources and protect the environment. Such transitions must be just to reduce social and geographical inequality on both ...

The course is an obligatory component in the third semester of the two-year program Research in Special Needs Education (master). The course aims to give students a broad understanding of research ...

Network and communications security is an important part of information security: a large portion of IT-related attacks are performed either using network connections or are directed at network ...

key concepts in environmental economics and the economic issues related to a large range of environmental problems. elements of welfare economics, theories of environmental policy instruments, ...

This course gives a basic introduction to machine learning (ML) and artificial intelligence (AI). Through an algorithmic approach, the students are given a practical understanding of the methods being ...

This course provides an overview of a range of resources and practical bioinformatic tools that are used in molecular biology. Scientists actively developing and applying bioinformatic tools in their ...

Computer vision is the study of how a machine, such as an unmanned system, can interpret and understand its surrounding environment using visual data such as images and video. This course will give an ...

UiO:Life Science's innovation programme within health-related life sciences. Mentoring, milestone-based funding and education to further develop your ideas. Admission through annual open calls.

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, ...