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Blekinge Institute of Technology
Department of Mechanical Engineering
Revision: 1
Reg.no: BTH-4.1.14-0216-2025
Course syllabus
Model-driven product development
Model-driven product development
7.5 credits (7,5 högskolepoäng)
Course code: MT2602
Main field of study: Mechanical Engineering
Disciplinary domain: Technology
Education level: Second-cycle
Specialization: A1N - Second cycle, has only first-cycle course/s as entry requirements
Language of instruction: English
Applies from: 2025-03-10
Approved: 2025-03-10
1. Descision
This course is established by Dean 2024-10-29. The course syllabus is approved by Head of Department of Mechanical Engineering 2025-03-10 and applies from 2025-03-10.
2. Entry requirements
Admission to the course requires 4 completed credits in MATLAB or programming, 5 completed credits in linear algebra and 5 completed credits in calculus in one variable.
3. Objective and content
3.1 Objective
Smarter and more complex products that combine software, mechanical, and electrical components are becoming increasingly important. At the same time, demands for improved system performance are driving a closer integration of different engineering disciplines. This integration, combined with growing business challenges, increases the need for holistic approaches and methods that support system development. In model-driven product development, different types of models are used to represent important aspects of the system being developed. Together, these models represent the best description of the system at a given time and are used to define and communicate system information as well as to explore and search the design space. The aim of the course is to provide students with knowledge, skills and approaches for decision support in product development with a focus on modeling, simulation, and validation.
3.2 Content
The course introduces a model-driven approach with a focus on the development, implementation, and validation of mathematical models. The student is introduced to numerical analysis and value-driven product development. Furthermore, domain-specific models are integrated to generate system-wide decision support. In addition, the ability to communicate technical results orally and in writing is trained.
4. Learning outcomes
The following learning outcomes are examined in the course:
4.1. Knowledge and understanding
On completion of the course, the student will be able to:
- analyse and discuss the possibilities and limitations of model-driven product development.
- justify the use of selected methods and tools to support the different phases of the innovation process.
4.2. Competence and skills
On completion of the course, the student will be able to:
- implement algorithms in an interactive programming environment to perform basic analysis of system function.
- develop, implement, verify, and validate simple mathematical models of physical phenomena.
- apply quantitative monetary models for value analysis in a product development context.
- plan and conduct simulation experiments to explore a design space.
- plan and conduct data collection and subsequent data analysis to validate the mathematical models used.
4.3. Judgement and approach
On completion of the course, the student will be able to:
- based on value analysis, critically assess aspects such as desirability, feasibility, and profitability regarding new product development activities.
5. Learning activities
The course is structured around lectures, exercises, project work, written assignments, oral presentations, and seminars. These learning activities are designed to help students create experiences that support understanding and develop the ability to carry out product development projects using a model-driven approach. During the course, the student reports on his/her knowledge, skills, and approaches both individually and in groups, and reflects on his/her learning. Written documentation in the form of reports gives the student the opportunity to develop the ability to give a written account of the work carried out and its value.
6. Assessment and grading
Modes of examinations of the course
| Code | Module | Credit | Grade |
| 2510 | Written assignment 1 | 3.5 credits | GU |
| 2520 | Written assignment 2 | 2 credits | GU |
| 2530 | Written assignment 3 | 2 credits | GU |
The course will be graded G Pass, Ux Failed result, a little more work required, U Fail.
The examiner may carry out oral follow-up of written examinations.
The information before the start of the course states the assessment criteria and make explicit in which modes of examination that the learning outcomes are assessed.
An examiner can, after consulting the Disability Advisor at BTH, decide on a customized examination form for a student with a long-term disability to be provided with an examination equivalent to one given to a student who is not disabled.
7. Course evaluation
The course evaluation should be carried out in line with BTH:s course evaluation template and process.
8. Restrictions regarding degree
The course can form part of a degree but not together with another course the content of which completely or partly corresponds with the contents of this course.
9. Course literature and other materials of instruction
Materials from the department.