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MF2512 Model-based Engineering Design 3.0 credits

Information per course offering

Termin

Information for Autumn 2026 Start 24 Aug 2026 programme students

Course location

KTH Campus

Duration
24 Aug 2026 - 23 Oct 2026
Periods

Autumn 2026: P1 (3 hp)

Pace of study

25%

Application code

10716

Form of study

Normal Daytime

Language of instruction

English

Course memo
Course memo is not published
Number of places

Min: 5

Target group
Compulsory for TMSKM1. Open to all students provided that the course can be included in the programme. Open for exchange students.
Planned modular schedule
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Schedule
Schedule is not published

Contact

Examiner
No information inserted
Course coordinator
No information inserted
Teachers
No information inserted

Course syllabus as PDF

Please note: all information from the Course syllabus is available on this page in an accessible format.

Course syllabus MF2512 (Autumn 2026–)
Headings with content from the Course syllabus MF2512 (Autumn 2026–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

Den här kursen introducerar studenter på första året av masterprogrammet till centrala datorbaserade verktyg och metoder som används genom hela programmet i maskinkonstruktion. Kursen ger en praktisk grund i modellbaserad konstruktion, med fokus på digitala verktyg för analys, simulering, konstruktion och mätning.

Introduktion till modellbaserad konstruktion som ingenjörsmetodik

Programmering och problemlösning i MATLAB

3D-modellering och designutvärdering med SolidEdge

Finita elementmodeller FEM av mekaniska system i Ansys

Simulering av dynamiska system med multikroppssimulering MBS

Principer för sensorer och datainsamlingssystem i ingenjörssammanhang

Intended learning outcomes

Upon completion of the course, students should be able to

  1. Use calculation and simulation tools to analyze and solve technical design problems, including static, dynamic, and thermal behavior.
  2. Develop and evaluate mechanical designs using computer-aided design (CAD) and computer-aided engineering (CAE) workflows, integrating geometry, motion, and performance.
  3. Explain the principles of sensors and data acquisition systems, and apply this knowledge to select appropriate instrumentation for technical measurements and system monitoring.

Literature and preparations

Specific prerequisites

Bachelor of Science degree in mechanical engineering or equivalent.

MF2521 Advanced Machine Design Project, Part 1 or equivalent.

Literature

You can find information about course literature either in the course memo for the course offering or in the course room in Canvas.

Examination and completion

Grading scale

P, F

Examination

  • INL1 - Hand in assignment, 3.0 credits, grading scale: P, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability. The examiner may apply another examination format when re-examining individual students. If the course is discontinued, students may request to be examined during the following two academic years.

Other requirements for final grade

  • Attendance at lectures is mandatory (minimum 80%).'
  • All exercises (8 in total) are individual assignments and must be approved in order to complete the course.

Examiner

No information inserted

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

Main field of study

Mechanical Engineering

Education cycle

Second cycle