Quantum Computing is the intersection of computer science, mathematics, and quantum physics which utilizes the phenomena of quantum mechanics to perform computations that classical computers cannot ...

This course studies a selection of advanced techniques in Natural Language Processing (NLP), with particular emphasis on modern research findings. The focus of the course is on "deep learning", a type ...

This is an advanced course on computational physics with an emphasis on quantum mechanical systems with many interacting particles. The course covers Stochastic methods like various Monte Carlo ...

This course provides an introduction to quantum field theory as one of the cornerstones of modern physics, and how it inevitably emerges from combining quantum mechanics with special relativity. The ...

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, ...

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 ...

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 insight into a standard description of the English language and into the relationship between the meaning and the grammatical form of sentences and texts. Frequent comparisons ...

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 ...

Gynaecology and Obstetrics, Paediatrics, Child Psychiatry, Pharmacology, Pathology, Clinical Biochemistry, Medical Genetics, Medical Ethics, Behavioural Sciences, Public Health, and General Practice.

The course is designed to emphasize hydrological concepts while providing useful skills for using well-known hydrological models in simulating hydrological processes. The course is divided into two ...

This course gives an introduction to numerical methods for solving problems in physics and chemistry, i.e. methods for solving ordinary and partial differential equations, matrix operations and ...