Selected topics in mechanical engineering (MSK900)
The course gives PhD students an opportunity to gain a deeper insight into mechanical engineering topics related to their own PhD projects. The curriculum is set to match the research area of the PhD project together with the candidate’s supervisors.
Course description for study year 2024-2025. Please note that changes may occur.
Course code
MSK900
Version
1
Credits (ECTS)
10
Semester tution start
Spring, Autumn
Number of semesters
1
Exam semester
Spring, Autumn
Language of instruction
English
Content
The course covers advanced knowledge within different specializations in mechanical engineering. Relevant lectures / courses / seminars / conferences are put together to cover topics that harmonize with the chosen PhD thesis and course syllabus. The topics can include, but is not limited to, the following topics:
- Structural integrity - understanding the behavior of materials under stresses. This includes fracture mechanics, welding-induced residual stresses, fatigue damage accumulation modeling, life-time prediction and life-extension analysis.
- Mechanical design and simulation - use of computational tools to gain insight and optimize performance. This includes finite element modelling of forces in structures and welds, system dynamics, multi-body dynamics, statistical methods and machine learning.
- Advanced manufacturing and operations - ensuring efficient and sustainable manufacturing and operations through lean manufacturing and waste minimization, additive manufacturing, supply chain optimization, circularity assessment, risk-based and reliability-based inspection and maintenance.
Learning outcome
- A foundational understanding of core principles and methodologies associated with the selected research field
- In-depth knowledge of the chosen topic in the syllabus and current methods that can be used to shed light on questions related to the topic
- Ability to perform literature reviews and describe learning objectives, as well as present own and previously published research results to an audience
Required prerequisite knowledge
Recommended prerequisites
Exam
| Form of assessment | Weight | Duration | Marks | Aid |
|---|---|---|---|---|
| Report | 1/1 | 8 Weeks | Passed / Not Passed |
No re-sit opportunities are offered for the report. Students who do not pass the report can retake it the next time the course is held. The report is assessed on an individual basis.