Innovation in complex systems

The course Innovation in complex systems will provide students with different methodologies and tools for analyzing and solving complex industry related problems. This course is related to the joint Industrial Research School in Complex Systems with the academic partners NTNU, USN and University of Agder. Increased complexity in terms of sustainability criteria, digitalization, product-service systems, multi-materials, multi-functionalities, customization and individualization etc are all impacting real world problems and industry in general - and this course will address this at systems level. The domains of innovation theory and systems thinking will be the context to analyze these issues and opportunities.

Knowledge: The course will give the students a basic knowledge of identifying, evaluating, analyzing and propose solutions based on a set-based concurrent engineering approach. Moreover, knowledge on methodologies, trust, ethics, culture, regulations, bias, data management, and exploratory research, in an industrial context will be expected knowledge.

Skills: The objective of the course is to provide PhD students with efficient tools and methods to leverage their ability to critical thinking and how to apply that in industrial case studies.

General competence: General competence: The students will be able to improve their industrial case studies during their PhD studies as well as being well prepared for both a research career whether being in academia, public sector or industry.

Lectures and presentations, self-studies, learning nuggets, seminars in an industrial context.