One of the hallmarks of being human is that we can suffer as well as flourish. Focusing on positive psychology and clinical psychology, psychiatry, and psychotherapy, this course offers a sustained ...
Geographical Information Systems (GIS) are computer systems designed to collect, manage, edit, analyze and present spatial information. This course introduces the basic concepts and methods in mapping ...
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 ...
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 ...
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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, ...
The course aims to provide students with a comprehensive insight into the molecular mechanisms underlying cancer development and into cancer treatment. Among the topics covered are tumor viruses, ...
The course provides insight on how to formulate a problem into statistical language, how to build a statistical model, how to analyse data and how to validate results. Regession methods (that is ...
This course explains the basics of renewable and non-renewable resource exploitation and management and the relation between fossil fuel extraction and climate change. It covers open access and ...
The couse offers a broad introduction to British literature. Emphasis will be given to the distinctive characteristics of texts and the literary techniques employed in them. The texts will be studied ...
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 ...
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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