IEEE Germany Section

Dear researcher, GECon 2023 is announcing a new Workshop Session on August 02th-04th related to online grading and teaching. Online teaching demands efficient ways and tools to assess and assists learners' progress, in this direction, we aim for this Workshop contributes an overview of the topic with illustrative examples. We look forward to seeing you at this hybrid conference!!! ABSTRACT: One of the biggest challenges in STEM-education is the creation of motivating teaching materials including appropriate coding exercises for the classroom and assignments for homework. Additionally modern STEM-education requires the ability to monitor the progress of the participants in real-time to assess the learning outcomes. The main benefit of real-time observation is the ability to adapt the content accordingly to better address weaknesses of the classroom in an agile manner. To address the first challenge, the creation of motivating teaching materials, you will learn how to generate digitalized interactive teaching materials as opposed to standard handwritten lecture notes (Word®, PDF, etc.). Such digitalized teaching materials foster engagement with the courseware by enabling classroom-courseware interactivity. In this workshop you will use MATLAB® Live Editor and MATLAB® Online to create and maintain interactive courseware materials. To address the second challenge, the automatic grading of exercises, you will discover how to replace the manual process of providing and correcting exercises through digital means. In this workshop you will apply MATLAB Grader™  to enable automatic grading/automatic feedback and real-time classroom observation.. Moreover, you will also learn how to integrate and use MATLAB Grader assignments into your Learning Management System of preference (Moodle, Canvas, ILIAS, etc.) to complete a seamless learning experience.

Keynote Session: Digital laboratories as Open Educational Resources Challenges and Solutions Dear researcher, GECon 2023 is announcing a new Keynote Session on August 02th-04th related to online teaching. Due to the amount of work presented by German academic researchers on this topic, we hope this Keynote speech will support the research community efforts. We look forward to seeing you at this hybrid conference!!! ABSTRACT: Web-based digital labs, which can be simulated, video-recorded, or installed remotely, significantly support knowledge transfer focused on the individual learner. With the advantage of omnipresent availability, the learner can set the pace of the learning process himself. At the same time, however, installing these systems presents the teacher with considerable technical and didactic challenges. The (few) open-source projects and commercial offers always define web-based simulations, remote labs, etc., as a closed learning environment. The teacher generates his materials - the actual digital laboratory and the associated materials - accordingly for a tiny circle of learners. Cooperative re-use of the elaborate setups is not possible in this way. Implementing the core ideas of Open Educational Ressources (OER) - providing editable and disseminable content - defines solutions for the mentioned challenges. The talk addresses the state of the art on this track, discusses promising developments and identifies future challenges. Sebastian Zug is a Professor for "Software Development and Robotics" at the TU Bergakademie Freiberg (Germany) since 2018. He studied mechanical engineering and received his Ph.D. in computer science from Otto-von-Guerike Universtät Magdeburg (Germany) in 2012. His research interests are focused on outdoor robotics and self-describing, intelligent components. He develops new concepts for practically-oriented engineering courses based on a broad experience in bachelor and master courses in programming, robotics, and embedded systems. This includes new open-source course materials, including interactive programming sessions, simulation tools, and remote access to laboratory equipment. GeCon 2023 Networking Education in Germany Berlin, Germany 2-4 August 2023 https://www.gecon2023.org/

IEEE COINS 2023: IEEE International Conference on Omni-Layer Intelligent Systems  July 23-25, 2023 | Berlin, Germany | Hybrid Event: In-Person and Virtual Presentations http://coinsconf.com RUN NOW to participate in our Tiny ML Contest. Awards (donated by STMicroelectronics) to the top three entries: 1st place wins $1,500 2nd place wins $1,000 3rd place wins $500 The Tiny ML Contest at IEEE COINS is a challenging, multi-month, research and development competition, focusing on advanced, real-world problems in the fields of AI, Embedded Systems, and IoT. It is open to multi-person teams worldwide. The focus of this year’s contest is on Human activity recognition.  Human activity recognition is a common machine learning task that is widely used in multiple domains. This technology uses data from various sensors to help monitor health conditions, recognize abnormal human activities for surveillance, track fitness workouts, and much more. There are, of course, various challenges associated with implementing complex human activity recognition. To achieve the required accuracy on low-power devices like wearables, embedded engineers have to find ways to run machine learning models on platforms with limited memory and processing capacity. Experts, therefore, need to design neural networks with a size-accuracy ratio that is appropriate for a proposed machine learning task on a memory-constrained device. The call for participation is here: https://coinsconf.com/wp-content/uploads/2023/02/TinyML-Contest.pdf https://coinsconf.com/   Tentative Schedule:  Submission date: 31st May 2023 Conference date: 23-25th July Notification date: during the conference (will be announced later)    Registration: Interested parties must email the ST, Neuton, and COINS contacts listed below.   Contact persons: ST: marco.bianco@st.com Neuton.AI: roman.rusak@neuton.ai IEEE COINS: farshad.firouzi@duke.edu    Awards donated by ST Microelectronics to the top three entries: 1st place wins $1,500 2nd place wins $1,000 3rd place wins $500