This course gives a thorough introduction to linear algebra with emphasis on vector spaces, linear maps, spectral theory, orthogonality and applications of this theory. MATLAB is used for ...

This course gives an introduction to commutative rings and their modules. We study concepts such as localization, decomposition of modules, chain conditions for rings and modules, and dimension theory ...

The focus in this course is on how economic aggregates evolve over time and on how this evolution is shaped by economic agents who are taking account of how their present decisions will affect their ...

Intro II is a mandatory course at the PhD program at the Faculty of Medicine. The course is part of the implementation of the Norwegian Qualifications Framework in the Faculty’s PhD education. The ...

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 ...

Statistical analysis is becoming more and more complex, both because of bigger data and many types of data and because of the use of more advanced methods and models. This course deals with numerical ...

The course focuses on methods for modern data analysis both within a practical and theoretical framework. Fewer assumptions are made when using these methods, such as machine learning or statistical ...

For students interested in the nervous system, this course in neurophysiology covers the basic principles of neuron signalling and interactions that underlie brain function, spanning from the function ...

The course aims to give students a broad training in international economics at the advanced level using mathematical techniques. The course consists of the fundamentals of trade theory and its ...

The course focuses on current understanding of the structure and function of eukaryotic transcription factors. The aim of the first general part is to give the student an understanding of the main ...

This course covers core micro-econometric methods and the principles of causal inference. The course builds upon and extends the material covered in ECON4150 – Introductory Econometrics. The course ...

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 ...