Stefan Ericson
Head of Division/Senior Lecturer
School of Engineering Science
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 2026, Location: Skövde, Pace of study: 40%
Application
Application is done after nomination.
Course syllabus, with reading list
When? Where? How?
Study period: 19 January 2026 - 29 March 2026
Location: Skövde, Campus, Daytime
Pace of study: 40%
Admission Requirements
Entry requirements higher education not set. A Bachelor’s degree equivalent to a Swedish kandidatexamen of 180 credits, within the main fields of integrated product development, production engineering, automation engineering, mechanical engineering or information technology (or the equivalent).A further requirement is proof of skills in English equivalent of studies at upper secondary level in Sweden, known as the Swedish course English 6 or English level 2 (or the equivalent). This is normally demonstrated by means of an internationally recognized language test, e.g. IELTS or TOEFL.
Selection
Guaranteed admission.
Language
The courses are conducted in English.
Spring 2026, Location: Skövde, Pace of study: 40%
Application
Application is done after nomination.
Course syllabus, with reading list
When? Where? How?
Study period: 19 January 2026 - 29 March 2026
Location: Skövde, Campus, Daytime
Pace of study: 40%
Admission Requirements
Entry requirements higher education not set. A Bachelor’s degree equivalent to a Swedish kandidatexamen of 180 credits, within the main fields of integrated product development, production engineering, automation engineering, mechanical engineering or information technology (or the equivalent).A further requirement is proof of skills in English equivalent of studies at upper secondary level in Sweden, known as the Swedish course English 6 or English level 2 (or the equivalent). This is normally demonstrated by means of an internationally recognized language test, e.g. IELTS or TOEFL.
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.