Digital Twins, 6 credits
Start of studies
No occasions planned
Form of education
Language
Period
Cancelled
Admission requirements
Admission to the course requires 2 completed credits in Applied Machine Learning and 2 completed credits in Systems Engineering. English 6.
The aim of the course is for the student to acquire knowledge and understanding of the digital twin concept. The course provides tools and methods for developing own digital twins of products. The course includes a mix of theory, methods, and tools for digital twins to implement and operate a digital copy of a physical product.
Admission requirements
Admission to the course requires 2 completed credits in Applied Machine Learning and 2 completed credits in Systems Engineering. English 6.
Level
A1F
Course code
MT2583
Course director
Study counselling
