MT2559 Simulation-driven Design

Programme course, 7,5 Higher education credits, Second cycle, autumn semester 2023

This course is part of a programme and cannot be applied.

The purpose of the course is to give students knowledge to understand, as well as ability to implement and use, theories and methods for simulation support in product development


  • Type of instruction: On campus, day, part-time 50%
  • Study period: 2023-October-30 until 2024-January-14
  • Education level: A1F
  • Application: This course is part of a programme and cannot be applied.
  • Language of instruction: The teaching language is English.
  • Location: Karlskrona
  • Main field of study: Mechanical Engineering
  • Course syllabus: Download
  • Welcome letter: This course is part of a programme and has no welcome letter.
  • Entry requirements: Admission to the course requires taken course Computational Engineering 1, 7,5 credits.


The course includes the following main parts:
• Simulation-driven design
• Introduction to optimization and its use in product development.
• Simulation process automation: Setup and execute chained simulation process flows containing several different software packages.
• Methods for structured and efficient design space exploration using mathematical models.
Theory will be exemplified using real-life design or decision-making situations within applications such as solid mechanics, structural dynamics and heat conduction.

Learning outcomes

Knowledge and understanding
  • Be able to describe and explain the principles for how optimization methods and algorithms dealt with in the course works.
  • Be able to interpret, analyse and communicate simulation results.
  • Show insight in advantages and drawbacks of a model-driven approach in relation to product development.

Competence and skills
  • Be able to define, set-up and solve design optimization problems using methods dealt with in the course.
  • Be able to setup and execute chained simulation process flows using methods dealt with in the course.
  • Show ability to plan and execute experiments with mathematical models using methods dealt with in the course.
  • Show ability to critically, independently and creatively identify, formulate and deal with complex problems.
  • Show ability to design, analyze and evaluate different technical solutions.
  • Show ability to plan and with suitable methods accomplish qualified tasks within given constraints.
  • Show ability to model, simulate, predict and assess behavior even with limited information.
  • Show ability to clearly present and discuss drawn conclusions and the knowledge and argument they are based on.

Judgement and approach
  • Show ability to critically evaluate calculated results and assess if they are reasonable.

Course literature and other teaching material

Material from the department.

Course literature and other teaching material

Material from the department.

Learning methods

The teaching comprises lectures, laboratory work, project work, seminars and exercises.

Work placement

No work placement is included in the planned learning activities. BTH is aiming for a close contact with the surrounding community when developing courses and programmes.


  1. Mats Walter
Course Manager
  1. Mats Walter

Time allocation

On average, a student should study 200 hours to reach the learning outcomes.
This time includes all the various available learning activities (lectures, self studies, examinations, etc.).
This estimation is based on the fact that one academic year counts as 60 ECTS credits,
corresponding to an average student workload of 1 600 hours. This may vary individually.


Component examinations for the course
Code Title ECTS credits Grade
1810 Written assignment 1 2.5 G-U
1820 Written assignment 2 1.5 G-U
1830 Written assignment 3 3.5 G-U


The course will be graded G Pass, UX Insufficient, supplementation required, U Fail.

Future exams

No upcoming, centrally coordinated, examinations for this course were found.

To participate in a centrally coordinated examination, you must enroll in Student's Portal, no later than fifteen days before the examination.

Time and location for the examination will be published about 5 days in advance.

There might be other scheduled examinations. Information concerning these examinations are available in It's Learning or at other places that the person who is responsible of the course will refer to.

Course Evaluation

The course manager is responsible for the views of students on the course being systematically and regularly gathered and that the results of the evaluations in various forms affect the form and development of the course.