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Neurocognitive Methods and Data Analysis
The module is a continuation of the Neurocognitive Methods and Programming module. In this module students will practice data collection and data analysis methods with concrete examples thereby establishing the theoretical background and practical applications of neurocognitive processes. There is a special focus on the standardized methods (SPM, FSL) which will be used to explore the univariate and multivariate methods of fMRI and EEG data analysis as well as methods for the analysis of the structural and functional connectivity. Thus, through this module, students will learn the active application of these methods as well as the interpretation of their results. After completing this module students will have gained practical knowledge of experimental design and implementation in the areas of social, cognitive and affective neuroscience and will be familiar with the software FSL and SPM as well as knowing what situations are best dealt with by which.The module is a two week long intensive and interactive lecture series with an oral examination at the end.