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ML2303 Digitalisation for Sustainable Production 9.0 credits

The course links an understanding of the increasing digitization of industrial production with the stakeholders, roles, practice and future development of the business.

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For course offering

Spring 2025 TITHM programme students

Application code


Headings with content from the Course syllabus ML2303 (Spring 2023–) are denoted with an asterisk ( )

Content and learning outcomes

Course disposition

Work in the course is built around lectures and seminars dealing with the central fields of the course. The course includes an examination concerning the central elements in digitisation of production, and a written assignment including application, reflection and critical analysis of the relation between digitisation and the operation and development of sustainable production.

Course contents

The main object of the course is to teach students to link understanding of the increasing digitalisation in industrial production with stakeholders' needs, roles, practice and future development of operations. Thus, the course prepares students for work tasks as providers or purchasers of solutions in the fast growing field of Industry 4.0.

Throughout the course, students will have the possibility to learn about a number of important technologies and tools to collect, store, analyse and visualise data for applications in production and logistics. The course will also give an understanding of how an increased digitalisation can be realised, and its possibilities to contribute to a more sustainable production as well as an increased servitisation and business development. Further, the course will form a basis for critical analysis of ethical, safety and integrity challenges with an increased digitalisation of production.

Intended learning outcomes

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

  1. Describe the foundation of and components in cyber-physical systems for application in production and logistics, including industrial IoT, autonomous systems, connections and big data solutions
  2. Analyse preconditions and maturity for digitalisation in production
  3. Review for applications in advanced data analysis, machine learning, AI, visualisation and interfaces to stakeholders, based on digitalisation in production and logistics
  4. Connect the opportunities of digitalisation to practical applications within the development and operation of production, such as its relation to lean production, management systems and digital support for development in production
  5. Link the opportunities of digitalisation to developed business models and servitisation for sustainable production
  6. Critically analyse the application of digitalised production, considering ethics, personal integrity, computer security and integrity

Literature and preparations

Specific prerequisites

Completed course ML1503 Industrial systems II, 6 credits or the equivalent.

Completed course Bachelor thesis, 15 credits or the equivalent.

Recommended prerequisites

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Uppgift om kurslitteratur meddelas i kurs-PM.

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


  • PROA - Project, 5.0 credits, grading scale: A, B, C, D, E, FX, F
  • TEN1 - Oral examination, 4.0 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.

The examiner decides, in consultation with KTH's coordinator for disabilities (Funka), about possible adapted examination for students with documented, permanent disabilities. The examiner may permit other examination format for re-examination of individual students.

Opportunity to complete the requirements via supplementary examination

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Opportunity to raise an approved grade via renewed examination

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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

Add-on studies

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