Topics covered include:

• Coding: basic concepts, practical training, testing
• Foundations of sensor technologies
• Foundations of Bluetooth communication
• Usage of advanced programming interfaces (APIs)
• Analysis of time series data
• Introduction to machine learning techniques

This course covers acquisition and advanced analysis of MRI-data in clinical research including scanning
routines, tractography, tract-based spatial statistics, voxel-based morphometry and
support machine vector programming.

Topics covered include:

• Electrophysiological recording techniques
• Design of cognitive paradigms
• Spike detection and spike sorting
• Peri-stimulus time histograms
• Data analysis and statistical evaluation

Topics covered include:

• Basics of MRI and functional MRI
• Design of psychological experiments
• Analysis of functional MRI data
• Functional Neuroanatomy