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Course contents include brain and EEG, experiment design, signal processing, visualization, machine learning, evaluation. Before the start of the course, a Python introduction must be completed (time-flexible)
Section: FB3
and complex climate models, as well as the processing of large amounts of data related to machine learning, in financial services, retail, and health and social services. The program can be started in both
Bremen Big Data Challenge Teaching 2021 Biosignale und Benutzerschnittstellen Advanced Machine Learning BBDC Seminar
on and registration, visualization, and biomedical modeling. Statistical approaches and machine learning have always played a role, but more recently, we have seen an increasing impact through the introduction
Building Blocks for Expertise of IT Professionals in self-directed Learning Processes (Modul-IT/E-Learning) Within this project, e-Learning modules for teaching different subjects of software engineering
measurement and interpretation and potential usefulness in human-machine interfaces. They should learn to analyze and formally describe the problems, challenges and potential of using these signals for
stimuli, their modality, and participants’ response options. Second, signal processing and machine learning methods will be leveraged to identify and differentiate hate speech from other types of speech for
(Cooperation of cognitive science, computer science & robotics), we aim to use real time machine learning on biosignals to predict and influence social interactions in meaningful ways. To accomplish this
creation of 3D models is a complex and time consuming process. Current modeling tools are hard to learn and require a deep understanding of the underlying mathematical models. Furthermore, established input