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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
personnell policy. Leaders and managers track those aspects systematically. WHM core processes as learning cycle © Die Senatorin für Finanzen/ Freie Hansestadt Bremen Members of the Steering Committee Chancellor
Section: Referate
demands of current teaching practice. A particular area of focus lies on the concept of "inquisitive learning" ( Bremer Stadtforscher ). As part of their Master's theses, students in the Master of Education
Section: FB8
teaching and experience. In addition, you gain valuable experience of the country-specific teaching and learning culture, which in turn, supports you in the preparation for writing your BA thesis (participation
Section: FB10
Hochschulen im Land Bremen (SZHB)" since 2008. © Matej Meza - Ana Pabon / Universität Bremen "I love learning languages because it broadens your perception of the world." New York, Sarajevo, Moscow - Bremen
Section: University
is powerful in managing, analysing and mapping georeferenced data of any scientific discipline. Learning contents & outcomes Contents Basics of mapping with Geographic Information Systems (GIS) Outcomes
Section: Sites
evolutionary biology and they are able to explain the processual nature of biological research and learn to argue scientifically. © https://commons.wikimedia.org/wiki/File:Charles_Darwin_01.jpg Evolutionary
Section: FB2
full load electrical power output of a base load operated combined cycle power plant using machine learning methods. The associated dataset is available at the following link. Elementary programming skills