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Spring 2020

P31: International Summer School on Intelligent Agents in Automation Introductory/Advanced #2

The 6th International Summer School on Industrial Agents is designed to provide advanced training for PhD students and practitioners on engineering methods and automation technologies that will be the basis for Industry 4.0. This week long intensive course aims to promote discussion on how to use distributed multi-agent systems to design, develop and implement the next generation of intelligent production system based on the principles of cyber-physical systems.

6 credits

P31: International Summer School on Intelligent Agents in Automation Introductory/Advanced #2

P67: International Summer School on Product Architecture Design

PAD 2020 - The 6th International Summer School on Product Architecture Design will bring together international young scientists and post‐graduate students who are currently doing research in the field of methodical product development with focus on product architectures and modularity. The week is filled with practical workshops to apply parts of the presented development methods. The interactive format guides you through the sessions and gives space for discussions and exchange.

Fall 2020

PM1: Research Communication Step 1 – Fundamental #10

This is a wake up call for communication. The course gives you tools to be well prepared for communicating your research to non experts. We use an interview and camera to test your skills. This knowledge is useful in all communication, such as trying to convince financiers and/or companies about your project. But also for preparing presentations, interviews in media or teaching. To get a professional message bank in a concrete research project we recommend the advanced course - step two.

2.0 credits

PM1: Research Communication Step 1 – Fundamental #10

PM11: Qualitative Data Analysis for Product Realisation Research #02

The aim of the course is to increase participants understanding of key concepts, and to develop their competence and skills in how to perform qualitative analysis. The participants will develop an ability to judge and evaluate the choice of analytical method applied to an adequate set of empirical data. Furthermore, the course aims at increasing the participants’ understanding of the premises for publishing results based on qualitative data analysis in scientific journals.

7.5 credits

PM11: Qualitative Data Analysis for Product Realisation Research #02

Spring 2021

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