Search results

    Search results

    Show all results for ""
    Can not find any results or suggestions for "."

    Search tips

    • Make sure there are no spelling errors
    • Try different search terms or synonyms
    • Narrow your search for more hits

    How can we help?

    Contact Us

    Find Employees

    University of Skövde, link to startpage
    University of Skövde, link to startpage
    Close

    Search results

      Search results

      Show all results for ""
      Can not find any results or suggestions for "."

      Search tips

      • Make sure there are no spelling errors
      • Try different search terms or synonyms
      • Narrow your search for more hits

      How can we help?

      Contact Us

      Find Employees

      University of Skövde, link to startpage

      Virtual Intelligent Machines A1N

      Course, Master's (2nd cycle), 6 credits, VP711A

      Application

      Choose a course instance to see course syllabus and admission requirements.

      Spring 2021
      Location: Campus (Skövde), Pace: 40%

      Application

      Application is done after nomination.

      Course syllabus, with reading list

      When? Where? How?

      Study period: 18 january 2021 - 28 march 2021
      Location: Skövde, Campus
      Pace of study: 40%

      Admission Requirements

      The prerequisites for this course are a Bachelor degree of at least 180 higher education credits (equivalent to 180 ECTS) within the fields of integrated product development or production engineering or automation engineering or mechanical engineering or information technology or similar. A further requirement is proof of skills in English equivalent of studies at upper secondary level in Sweden, known as English course 6 / English course B. This is normally demonstrated by means of an internationally recognized test, e g IELTS or TOEFL or the equivalent.

      Selection

      Guaranteed admission.

      Language

      The courses are conducted in English.
      In this course we build a virtual production line and includes artificial intelligence and computer vision.

      The course introduces the idea of digital twins and their modeling. Students learn about machine vision and artificial intelligence algorithms which are used to demonstrate digital twin concept. The course will have a practical focus where the skills of algorithm development and integration are developed.

      Contact

      Examiner

      Course co-ordinator

      Published: 1/7/2020
      Edited: 1/7/2020
      Responsible: webmaster@his.se