The course provides an introduction to language technology: methods for automatic analysis ... The special admission requirements may also be covered by equivalent studies from Norwegian upper ...

This is a beginner`s course for international students. Students develop basic communicative skills in Norwegian. Students learn to make themselves understood both orally and in writing using basic ...

This course consists of the student’s work on the MA thesis in Linguistics. The topic of the thesis is determined by the student in consultation with the supervisor. The thesis will be a scientific ...

All informatics education is based on an understanding of what a computer is and how it works. This course gives that understanding. It explains the elements of a modern computer and their function, ...

Then course gives an introduction to continuum mechanics and the mathematical description of forces, stresses and deformations in viscous fluids and elastic materials. The course focuses on the stress ...

The course provides an introduction to basic concepts of visualization and computer graphics. Key objectives of the course are to introduce useful tools and concepts for scientific visualization. It ...

Read more about special admission requirements (in Norwegian). Six project assignment, where each part consist of one parctical and one theoretical part, twelve deliverables in total. All twelve ...

A long master's thesis corresponds to one year of full-time study and constitutes half of the master's degree. Read more about guidelines and information on practical implementation of the master's ...

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 ...

The course is an introduction to principles and practice of the design of distributed systems. The course covers fundamental models for distributed systems, distributed middleware with the focus on ...

The course introduces a variety of central algorithms and methods essential for studies of statistical data analysis and machine learning. The course is project-based and through the various projects, ...

In this course, you learn about mathematical descriptions of stochastic systems, and how we can use information about the system, mathematical models as well as measurements, to estimate the state of ...