Course - Engineering Design Research and Scientific Methods/Tools - MM8101
Engineering Design Research and Scientific Methods/Tools
Assessments and mandatory activities may be changed until September 20th.
About
About the course
Course content
MM8101 is the introduction PhD course tailored to Robotics and Engineering Design students (R&ED) at MTP. It is primarily intended as a group internal PhD course, but it is open to students with a related PhD topic. If you are interested, please contact the lecturer for availability and fit.
This course focuses on the fundamentals of Engineering Design PhD projects and a research methodology and strategy adapted to the individual PhD. We will also go through the fundamentals of scientific argument, and present and discuss concrete tools and methods. We also discuss publication strategies and job development strategies. Additionally, specific elements can be taught by the various teachers based on the actual individual research project.
Learning outcome
Knowledge;
A PhD candidate has knowledge of:
- Engineering design theory
- Theoretical models of the design process
- Research in design science
Skills:
A PhD candidate can:
- Choose research methodology based on insight into design research
- Appropriate use of design methodology
General competence:
A PhD candidate can: Study design activity from a scientific point of view
Knowledge about relevant software and DB.
Learning methods and activities
The course is based on a weekly 2h seminar meeting. Students will have to prepare topics and presentations and will have a high reading load of fundamental material. The course is finalized by elaborating an individual portfolio on ones PhD topic.
To pass the course, a score of at least 70 percent is required.
The course may not be held if there are less than 5 participants. Interested PhD candidates are requested to get in touch with the course coordinator via e-mail.
Further on evaluation
For a re-take of an examination, all assessments during the course must be re-taken. In special cases a "fail" can be mitigated by handing in a second or upgraded portfolio and a paper. Details have to be approved by the lecturer.
Recommended previous knowledge
PhD students in a relevant scientific area with an interest in robotics and engineering design.
Required previous knowledge
Inscribed PhD student related to the Robotics and Engineering Design research group at MTP.
All students taking this course must be enrolled in a PhD program at NTNU or a different university.
Course materials
Is handed out throughout the course.
Credit reductions
| Course code | Reduction | From |
|---|---|---|
| DIO2003 | 7.5 sp |
Subject areas
- Technological subjects