Machine Learning for Engineers II

Project leader: Björn Eskofier
Project members: Benjamin Lutz, Matthias Mühlbauer, Franz Köferl, Falk Pulsmeyer
Start date: 1. September 2020
End date: 28. February 2021
Funding source: Virtuelle Hochschule Bayern

Abstract

This new course is designed to familiarize engineering students with the basic procedures and tools of deep learning. A high level of application relevance is ensured by concrete examples from the respective engineering disciplines, such as mechanical engineering, materials science, production engineering, electrical engineering, process engineering or medical technology. The new course offering is designed to enable students to efficiently apply more complex methods of machine learning as a tool for the analysis of large amounts of data. To this end, the course is divided into several blocks, each of which consists of theoretical and practical modules or units. Our first VHB course ML4Engineers I introduces the basics of machine learning, while the current course will cover more advanced topics.