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 main content of the course is the propagation of light waves in periodic structures, using Maxwell's equations for electromagnetic waves in dielectric materials. Structures that are periodic in ...
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 ...
The purpose of the course is to introduce the use of biomarkers in clinical research today and tomorrow, as well as presenting the principles for their quantification in selected analyses. Such ...
For many countries in Western Europe, World War II and Axis occupation marked the greatest crisis in twentieth century history. Taking the example of France, Norway, and Denmark, the course will show ...
In this course you will get acquainted with the fundamental theories and application of multilevel models. The focus will be on using these methods for applied research. You will also gain practical ...
Professor Anna Maria C. Lundberg explains the themes in this course. This multi-disciplinary course focuses on how human rights case law addresses dilemmas in cultural diversity. The main focus is ...
This course gives an introduction to the quantum mechanics of many-body systems and the computational methods relevant for many-body problems in such diverse areas as atomic, molecular, solid-state ...
Refugee and Asylum Law addresses forced migration and the role of law in determining the need for international protection within determination proceedings. Students will study the 1951 Convention on ...
The course provides an introduction to applied statistics. The students will learn how data should be organized and interpreted and how to draw conclusions from data. The course provides a basis for ...
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 ...
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