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Course instance to Data Analytics in Virtual Production

Data Analytics in Virtual Production

Course instance to Data Analytics in Virtual Production
  • Credits 2.5  credits
  • Education level First cycle
  • Study location Distance with no obligatory meetings/Distance with obligatory meetings in Skellefteå
  • Course code PPU320
  • Main area Product and Process Development


In this course, you will learn how data analysis in virtual production can improve your organization's results!

About the course

Data analytics in virtual production uses advanced techniques to collect, analyze and present data to improve production. This system is designed to help companies optimize their production and increase efficiency.

By learning how to model, do scenario analysis and evaluate using industrial software, identify bottlenecks, and use AI methods and applications, s necessary to succeed with a full production analysis.

You will learn to

  • Perform sensitivity analysis on different production systems using models
  • Analyze and evaluate the performance of production systems
  • Use artificial intelligence to model production systems

The course also gives you the knowledge to post-process the results in order to take advantage of your analyses.

The course is given with flexible start and study pace, but we recommend a study pace of 20 %, which means that the course takes about 8 calendar weeks.

Requirements

Below you find the entry requirements for the course. If you do not fulfill the requirements, you can get your eligibility evaluated based on knowledge acquired in other ways, such as work experience, other studies etcetera. Read more in Application information below.

Occasions for this course

Autumn semester 2024

Questions about the course?

If you have any questions about the course, please contact the Course Coordinator.

Senior Lecturer

Stavros Vouros

+4621107097

stavros.vouros@mdu.se

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?

Many courses requires that you have previous academies studies, but we can validate work experience to determine whether you have the qualifications 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, 45.5 kB, opens in new window.

• Download a template for Employers certificate Word, 38 kB, opens in new window.

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