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, ...

This course is designed to explore the rapidly evolving field of generative artificial intelligence (AI). We will examine the history of AI, its potential future impact, and the ethical considerations ...

MF9495P provides practical training with handling and basic procedures in mice and rats. MF9495P is a mandatory addition to theoretical training in experimental animal science for all students who ...

The techniques presented have for several years been used in design of real time systems and other distributed systems. We concentrate on systems of interacting actors and model such systems in UML.

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

An introduction is given to stochastic description of ocean waves, wave spectrum, wave statistics, and definition of freak waves. An introduction is also given to nonlinear wave resonance, free and ...

The aim of the course is to develop knowledge of and practical experience with the design and implementation of systems intended for real-time sonic or musical interaction. This could be in the form ...

This course is based on FYS1100 – Mechanics and Modelling, and gives an introduction to classical mechanics. Analytical methods such as the principle of least action and Euler-Lagrange equations will ...

This course is about ethnography in the double sense of the term, as anthropological method to generate and assemble experience, observation and information; and as a distinct form of text - and about ...

The course focuses on advanced algorithms and architectures for deep learning with neural networks. The course provides an introduction to how deep learning techniques can be used to design important ...

In this course we use general equilibrium models to study international trade, industrial structures, and structural change. The models are used to discuss and analyze the role of comparative ...