Course - Innovation in complex systems - MM8500
Innovation in complex systems
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About the course
Course content
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.
Learning outcome
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.
Learning methods and activities
Lectures and presentations, self-studies, learning nuggets, seminars in an industrial context.
Further on evaluation
The teaching will be a combination of lectures, colloquiums, and self-studies. The curriculum can be adjusted to the individual students depending on wish and need. If there are less than 4 registered students, the course coordinator will decide whether the course will take place.
For a re-take of an examination, all assessments during the course must be re-taken.
Recommended previous knowledge
No specific requirements beyond being enrolled in a technology PhD-program at NTNU, USN or UiA.
Required previous knowledge
All students taking this course must be enrolled in a PhD program at NTNU, USN or UiA.
Course materials
Recommended articles, learning nuggets, industrial case problem statements provided at the beginning of the course.
Subject areas
- Technological subjects
Contact information
Course coordinator
Lecturers
Department with academic responsibility
Examination
Examination
Ordinary examination - Autumn 2024
Paper
Submission 2024-12-10 Time Release 11:00
Submission 23:59 Exam system Inspera Assessment