The certificate course will take place from 14 till 18 October 2019. Participants learn to understand the ideas and concepts of the networked factory using practical examples and the own implementation of a robotic application.
The certificate course will take place from 14 till 18th of October 2019. Among other things, participants will learn how to implement successful approaches to technology and innovation management as well as develop a consistent strategy and identify new technologies.
The certificate course will take place from 21 till 25 October 2019. Participants get to know the difference between "big data" and "industrial big data" in the production context. You get an insight into required integration tools and structures of a highly distributed data analysis.
The certificate course will take place from 18 till 22 November. In addition to the classic topics of Product Lifecycle Management (PLM), the participants learn the basics of digitized production and focus on integrating modern information technology into technical processes.
The certificate course will take place from 25 till 29 November 2019. In the areas of system design, communication technology, optimization of LTE systems, RF systems and the IoT platform, participants learn about methods and tools to learn the basics of new products and to succeed in the market.
The certificate course will take place from 27 till 29 November. Participants learn well-founded concepts for the assessment of automotive acoustics issues and acquire a special understanding of vehicle-specific, acoustic mechanisms of action.
The certificate course will take place from 02 till 06 December. Participants learn to apply machine learning methods and techniques to real-world production data and generate valuable insight into their business and business processes. In addition, they will be able to apply and use the fundamentals of data analytic procedures.
The seminar will take place from 04 till 05 December 2019. Participants understand the differences between augmented and virtual reality applications. They also learn how to use the technologies for a variety of applications such as marketing, learning platforms, and the use of production maintenance.