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MG2045 Decision-making for Advanced Manufacturing 6.0 credits

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Headings with content from the Course syllabus MG2045 (Autumn 2021–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

The course is about decision support systems in advanced manufacturing technology, based on industrial metrology tools and procedures. The course includes an extensive review of advanced manufacturing processes and industrial metrology tools, methods, algorithms and their applicability, configurations, subsystems, structure, design and operational capability. During the course, extensive training is given in handling and evaluation of production and measurement data through use of applicable statistical tools and algorithms for machine learning to receive and account result with traceability. The course intends to teach the students how measuring techniques assist decision support in advanced production. On completion of the course, the students will be able to apply new knowledge through three main activities : design, carry out and document personal research.

Intended learning outcomes

After passing the course, the students should be able to:

  1. Describe advanced manufacturing processes
  2. Explain the importance of metrology (measurement technology) in advanced manufacturing processes
  3. Describe methods and instruments that are used industry for metrology purposes
  4. Evaluate measurement and manufacturing data by use of suitable statistical tools and algorithms for machine learning
  5. Apply decision support systems for advanced manufacturing

Course disposition

No information inserted

Literature and preparations

Specific prerequisites

Admitted to a Master's programme (two-year).

Recommended prerequisites

No information inserted

Equipment

No information inserted

Literature

No information inserted

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

A, B, C, D, E, FX, F

Examination

  • INLA - Individual home assignment, 1.5 credits, grading scale: A, B, C, D, E, FX, F
  • LABA - Laboratory work, 1.5 credits, grading scale: P, F
  • PROA - Project work, 3.0 credits, grading scale: A, B, C, D, E, FX, 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.

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted

Examiner

Profile picture Andreas Archenti

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 web

Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.

Course web MG2045

Offered by

ITM/Production Engineering

Main field of study

Mechanical Engineering

Education cycle

Second cycle

Add-on studies

No information inserted

Contact

Robert Tomkowski (rtom@kth.se)