course-details-portlet

MM8500

Innovation in complex systems

Choose study year
Credits 7.5
Level Doctoral degree level
Course start Autumn 2024
Duration 1 semester
Language of instruction English
Location Trondheim
Examination arrangement Aggregate score

About

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.

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

Department of Mechanical and Industrial Engineering

Examination

Examination

Examination arrangement: Aggregate score
Grade: Passed / Not Passed

Ordinary examination - Autumn 2024

Paper
Weighting 80/100 Examination aids Code A Date Release 2024-12-03
Submission 2024-12-10
Time Release 11:00
Submission 23:59
Exam system Inspera Assessment
Oral exam
Weighting 20/100 Examination aids Code E Date 2024-12-13 Time 09:00 Duration .5 hours

Ordinary examination - Spring 2025

Paper
Weighting 80/100 Examination aids Code A Date Submission 2025-05-16 Time Submission 15:00 Exam system Inspera Assessment
Oral exam
Weighting 20/100 Examination aids Code E Date 2025-05-21 Time 09:00 Duration .5 hours