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Digital twins, XR and AI for Industry 4.0

  • Credits 5 credits
  • Study location Eskilstuna
  • $stringTranslations.StartDate 2022-01-17 - 2022-03-27 (part time 33%)
  • Education ordinance Second cycle
  • Course code PPU459
  • Main area Product and Process Development

By taking part in this course you will learn about the role of visualization in industrial applications with a specific focus on Industry 4.0. You will learn how to evaluate and develop production systems and processes that integrate visualization technologies, such as digital twins, virtual and augmented reality and are supported by artificial intelligence.


In this course, you will gain insights into digital technologies for industrial visualization, and their application in various real-world domains in the context of Industry 4.0. Specifically, you will gain an understanding of when industrial visualization, using technologies such as digital twins, virtual and augmented reality, or artificial intelligence, may be a good solution in the development of production systems and processes.

Kursblad Visualization of industrial applications

Download short description: Digital twins, XR and AI for Industry 4.0 PDF Pdf, 234.1 kB, opens in new window.


You will learn to

  • Evaluate technologies for industrial visualization such as digital twins, virtual and augmented reality, and artificial intelligence.
  • Show understanding for how to develop production systems that include digital technologies for industrial visualization.
  • Describe how to design and implement production processes which include industrial visualization.

Entry requirements

40 credits in Engineering/Technology and at least two years’ experience in full-time employment in a relevant area within industry.

In addition, English course A/English course 6 is required. You can also apply for the course and get your eligibility evaluated based on knowledge acquired in other ways, such as work experience, other studies etc.

Read more in Application information below.

Course syllabus

You can read in detail about the course, it's content and literature and so on in the course syllabus

See course syllabus

Apply to the course

Digital twins, XR and AI for Industry 4.0

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Application information

You’ll find the entry requirements in the course description. After submitting your application, the next step is to submit documentation to demonstrate your eligibility for the course. Most academic credentials from Sweden are retrieved automatically. Wait a few days after submitting your application - if you still can’t see your academic credentials om My pages, please upload them.

If you have studied in another country, you must provide transcripts of your academic studies and of your English proficiency. Exactly what you need to submit and how, depends on several factors. You can read more on universityadmissions.se or antagning.se.

If the course requires work experience, you need to provide an employer’s certificate. You can download a template for employer’s certificate below.

No academic qualifications?

The course require that you have previous academies studies, but we validate work experience to assess if you have the knowledge that is equal to the eligibility requirements for the course.

If you don’t have the formal qualifications required, please send in a certificate of employment (current or previous) and a CV/Description of competence that describes your educational and professional background. Please include a short description of your work experience, not only the work title.

Use the CV/ Description of competence template below and fill in the information requested.

You can also use our template for Employers certificate if you like.

Download a template for CV/Description of competence Word, 28 kB, opens in new window.

Download a template for Employers certificate Word, 19.5 kB, opens in new window.

If you have any questions regarding eligibility or application please send an e-mail to lifelonglearning@mdh.se

Premium

The course is part of the Premium project in which MDH offers courses aimed at giving the industry the competence needed for sustainable and smart production.

For companies that want to collaborate on competence development
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