Start of studies
Autumn semester 2028
Form of education
Campus, Day-time, 2/5
Language
English
Period
2028 week 44 until 2029 week 2
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 to the course requires 2 completed credits in Applied Machine Learning and 2 completed credits in Systems Engineering. English 6.
Level
A1F
Registration code
BHQDX
Course code
MT2583
