VHB funding for the development of an AI-supported exercise and integration into the ongoing online course
We are pleased to announce that our Chair of Casting Technology has received new funding.
The “KI meets vhb” project is developing an AI-supported exercise and integrates it into our ongoing online course “Data Acquisition, Processing and Analysis in Manufacturing Engineering and Materials Science”.
Using a casting application as an example, students learn how research findings from basic AI research can be transferred to engineering practice and facilitate everyday design tasks. The main focus is on teaching students the path from analyzing algorithms published in technical journals with associated open-source code to setting up virtual environments and application-oriented structural optimization. The knowledge is acquired as part of the ongoing VHB course “Data Acquisition, Processing and Analysis in Manufacturing Engineering and Materials Science” (DMM). Here, participants work on an interactive teaching example for the AI-supported design of lightweight construction tools. Students analyze load-dependent topologies, evaluate the results with FEM, and iteratively improve their designs. The aim is to combine research-oriented, virtual learning with an understanding of engineering transfer, thereby imparting critical judgment, digital tool competence, and AI-based optimization methods in a practical manner. Funding is being requested to develop an AI-supported exercise and integrate it into the ongoing VHB course DMM.
The project strengthens our Chair of Casting Technology in the field of digital teaching and enables our students to achieve even deeper insights in research oriented learning.
We would like to express our sincere thanks to the Virtuelle Hochschule Bayern (vhb) for its trust and support, and we look forward to the successful implementation of this project!