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Matej Meza © Matej Meza © Matej Meza © Matej Meza © Matej Meza Digital Accessibility in Teaching & Learning In general, providing digital teaching is – not just in times during the corona pandemic – a valuable
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improvement to its study offers. Curriculum design, university didactics, or service facilities: we learn more about how our alumni evaluate their studies retrospectively and where improvements can be made
culturally different expectations influence the quality of supervision.The aim of this workshop is to learn how to conduct goal-oriented conversations in supervision and leadership situations. The training
inverse modeling are combined. Publications R. Drechsler, S. Huhn, Chr. Plump: Combining Machine Learning and Formal Techniques for Small Data Applications - A Framework to Explore New Structural Materials
lists, protocols, statistics and comments are made available in bundled form. Goals Legally secure learning success control according to the requirements of the examination regulations Competence orientation
ogie“ und hat langjährige Erfahrung mit der Umsetzung Forschenden Lernens und der Nutzung von E-Learning-Tools in Studiengängen der Biologie. Er gehört dem Vorstand des Zentrums für Multimedia in der Lehre
and Professor Johannes Schöning. more © GfG / Universität Bremen Humanities and the Liberal Arts Learn more about the historian Professor Rebecca von Mallinckrodt and the linguist Professor Ingo H. Warnke
of Continuing Education In the Academy of Continuing Education, continuing education and lifelong learning are centrally and structurally anchored at the university. Together with institutes, subjects and
who knows, perhaps their working life will continue at the university in the profession they have learned directly after the end of their training, because suitable trainees are gladly taken on if possible
. Fatigue and damage diagnostics with predictor functions for new advanced materials by Machine Learning (P5) © Stefan Bosse © Stefan Bosse © Stefan Bosse © Stefan Bosse live online discussion 1 September [...] are determined from tensile tests. We investigate approximating predictor functions by Machine Learning (ML) for fatigue prediction by history data measured from simple tensile tests within the elastic [...] nanomaterials, water splitting, and CO2 utilization. The Origin of Interstellar CO2 - and what we can learn from it for materials design (P7) © Jan Hendrik Bredehöft live online discussion 1 September 2020
