Intelligent Manufacturing


Prerequisite/Recommended prerequisite for participation in the module

This module is based on knowledge gained on the 1st semester of the MSc in the Manufacturing Technology programme or the like.

Content, progress and pedagogy of the module

Learning objectives


  • Have gained an understanding of relevant technologies enabling the design of intelligent machines (artificial intelligence)
  • Have gained an understanding of relevant sensor technologies including vision
  • Have gained an understanding of highly flexible and integrated automation technologies
  • Have gained an understanding of the business potential of intelligent manufacturing.


  • Be able to use various technologies to provide manufacturing systems with intelligent capabilities (reasoning, knowledge, planning, learning, communication, perception and the ability to move and manipulate objects)
  • Be able to integrate and implement intelligent machines into a small and limited manufacturing system.


  • Have the foundation to participate in projects aiming at designing intelligent manufacturing systems which more or less autonomously can adapt to variations in their environment and, over time, improve their performance.

Type of instruction

The teaching is organized in accordance with the general form of teaching. Please see the programme cirruculum ยง17.

Extent and expected workload

Since it is a 5 ECTS course module the expected workload is 150 hours for the student.



Name of examIntelligent Manufacturing
Type of exam
Written or oral exam
Assessment7-point grading scale
Type of gradingInternal examination
Criteria of assessmentThe criteria of assessment are stated in the Examination Policies and Procedures

Facts about the module

Danish titleIntelligent produktion
Module codeM-MT-K2-O2
Module typeCourse
Duration1 semester
Language of instructionEnglish
Empty-place SchemeYes
Location of the lectureCampus Aalborg
Responsible for the module


Study BoardStudy Board of Mechanical Engineering and Physics
DepartmentDepartment of Materials and Production
FacultyFaculty of Engineering and Science