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 ...
Sustainable development is the red thread throughout this course. The course builds on the principle of sustainable development and analyses how it is reflected in main international treaties on the ...
Theory and clinical practice is continued from the 7th semester. The practical competence is given high priority. At the same time the cause of diseases is highlighted. It is expected that students ...
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 ...
The aim of the course is to make the participants familiar with advanced statistical regression methods applied to clinical research and epidemiology. This will give the participants a better basis ...
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 ...
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 ...
This is a course in epidemiological methods for clinical and public health research. Participants learn how to plan and implement a research project. The course covers general aspects of research as ...
IBM has completed the work, we have re-enabled traffic to TSD. We are monitoring performance throughout the weekend. On Friday the 15th of May 2026 IBM is upgrading TSD's network storage. It will not ...
The course consists of an in-depth study of a central problem within a field of moral philosophy - metaethics, normative ethics or applied ethics. Which problem the course focuses on may vary from one ...
This course provides a general introduction to American literature, where the main focus is on the nineteenth and the twentieth century. Primary attention will be given to how literary texts are ...
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 ...
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