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explores different aspects of teaching and learning at a university level, in order to improve one’s teaching skills in a class and in the laboratory, learn the basic lingo for developing a teaching portfolio [...] portfolio, and understand the different learning processes of students from different cultures and backgrounds. Possible Topics/Structure: The history and science of learning: evolution of university teaching [...] maximise deep learning Different methods, different topics and different teachers: find your pedagogical signature Theories of cultural dimensions, and how they affect teaching and learning methods Group
Section: MAPEX
side : How do students cope with the online learning? Are students able to work in learning groups? Is networking currently feasible? Are there sufficient learning rooms? Should digital formats by used in [...] is largely influenced by the COVID pandemic. Its impact shapes the current ways of teaching and learning and entails the question whether the striving for digitalization is likely to have a long-term impact
Section: Fachbereich 1
operatedwithout the application of machine learning for safety-critical control components. As it turns out, the specific risk, induced by using machine learning (ML) in safety-critical control systems is [...] Scary or Promising? Machine Learning in Safety-Critical Control Systems One of the Challenges our society faces today has been caused by a recent change of paradigm in computer sciene: the advent of powerful [...] talk, I will focus on a specific "sub-challenge", namely the risks involved in applying machine learning in safety-critical applications and the possibilities to mitigate these risks such that they become
Section: Fachbereich 03
You’ll learn how videos for science can be shot with apps and how they can be published online. During the workshop you will develop your own storyboard and put together a short film. In short, learn how [...] The training will focus on the latest tools and techniques with an emphasis on practical, hands-on learning. The workshop includes practical exercises and group discussion, and participants will leave inspired [...] with course information and additional resources. Target Group Scientists who are interested in learning how to produce short films of their scientific work. Workshop Trainer Matthias Süßen is a freelance
cher Mitarbeiter in der Abteilung Oberflächentechnik am Leibniz-IWT. Thema: Application of deep learning image recognition techniques for characterization of thin coatings Abstract: Characterization methods [...] methods are an important part of surface engineering and coating development. By using deep learning image classification and object detection techniques, some of them can be automatized to meet the latest [...] https://www.iwt-bremen.de/de/media/veranstaltungen/digitale-veranstaltungreihe/application-of-deep-learning-image-recognition-techniques
Section: Kolloquien, Symposien, Reihen
rs and application-oriented statisticians interested in machine learning. We will start with a (brief) introduction to machine learning and cover a broad range of interpretability methods such as partial [...] practical sessions. Prerequisites: - Background in statistics (no specific knowledge in machine learning necessary) - A laptop with R installed or access to e.g. RStudio Server - Your own dataset. If you
Section: KKSB_Kalender
Lunch & Learn | Data Snacks
Section: data_scinence_cal
complete a practicum in Germany? Then this is the event for you! During this online workshop, you will learn: • What information to include on a German resume • How to structure your resume • How to write effective [...] the workshop, you will have the opportunity to get feedback on your resume. The information you’ll learn in the workshop can help you with writing a resume for a student job, practicum, or full-time position
Section: Career Center
In the last decade, the deep learning community has made considerable progress in the modeling of complex data, in particular with image data. Artificial neural networks are a core building block that [...] illustrate how applied biostatisticians can extend their toolbox with developments from the deep learning community, and also contribute their own perspective.