Three universities & one course on digitalized production – Challenges and lessons learned

On June 7th Swedsoft invited Paulina Myrelid, Mälardalen University and Kristina Eriksson, University West on a seminar with the theme Three universities & one course on digitalized production – Challenges and lessons learned

Three Swedish universities (namely Mälardalen University, University West, and Linneaus University) have formed a distinctive collaboration to develop a flexible and blended format course for industry professionals, in the subject of Digitally-enabled production. The course aims to support and facilitate manufacturing companies to become competitive and improve industry 4.0 preparedness on different levels of production systems.

At the webinar on June 7th speakers Paulina Myrelid, Mälardalen University and Kristina Eriksson, University West, provided an overview of their experiences and lessons learned in developing and implementing this course for the past 3 years. The cooperation and development of the course has been a part of the same project, financed by Vinnova, that this webinar series is.

About Software for professionals

This event is part of the webinar series Software inspiration for professionals. With this webinar series we, together with the other organizations in our Vinnova funded project, Linneaus University, Mälardalen University, University West and Örebro University want to give you inspiration and new knowledge direct from experts from Swedish Academia.

The webinar series is a part of the Vinnova funded project “Kompetensbehov och kurser för yrkesverksamma inom IT och konkurrenskraftig produktion 2” and especially the part of the project. is a platform with the purpose to contribute to the continued development of industry’s skills development through courses specifically aimed at industry professionals, and by making the course offerings from universities easier to find.

Interested in joining us the next time? See more information about our upcoming events here:

September 6th – AI and ethics for engineers


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