MM8500 - Innovation in complex systems


New from the academic year 2023/2024

Examination arrangement

Examination arrangement: Aggregate score
Grade: Passed / Not Passed

Evaluation Weighting Duration Grade deviation Examination aids
Paper 80/100
Oral exam 20/100 .5 hours E

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, project work.

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.

Required previous knowledge

All students taking this course must be enrolled in a PhD program at NTNU or a different university.

Course materials

Recommended articles, learning nuggets, industrial case problem statements provided at the beginning of the course.

More on the course

Version: 1
Credits:  7.5 SP
Study level: Doctoral degree level


Term no.: 1
Teaching semester:  AUTUMN 2023

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Technological subjects
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Mechanical and Industrial Engineering


Examination arrangement: Aggregate score

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn ORD Paper 80/100
Room Building Number of candidates
Autumn ORD Oral exam 20/100 E
Room Building Number of candidates
Spring ORD Paper 80/100
Room Building Number of candidates
Spring ORD Oral exam 20/100 E
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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