Digital Twins (5 cr)
Code: R504D81-3001
General information
- Enrollment
-
02.10.2023 - 31.01.2024
Registration for the implementation has ended.
- Timing
-
01.02.2024 - 10.05.2024
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Contact learning
- Unit
- Bachelor of Engineering, Information Technology
- Teaching languages
- English
- Finnish
- Seats
- 0 - 30
- Teachers
- Toni Westerlund
- Teacher in charge
- Toni Westerlund
- Groups
-
R54D21SBachelor of Engineering, Machine Learning and Data Engineering (full time studies), 2021
- Course
- R504D81
Evaluation scale
H-5
Content scheduling
Unity / Unreal Engine
- Simple digital Twins that can be used to represent data
- Two-way digital Twins, which can be used to control the equipment.
- Two-way digital twins that also enable simulations
Objective
The student knows the classification and operating principles of digital twins. The student knows the technology on how digital twins are implemented. The student becomes acquainted with the process of producing digital twins.
Content
- Basic principles of digital twins
- Design and implementation of the digital twin
- Visual and functional modeling of the digital twin and their integration
Location and time
Education according to the timetable at the Rantavitika campus, Jokiväylä 11, in the spring semester 2023
Materials
Lecture material, examples and exercises. In the Moodle workspace, a link to the shared Drive/OneDrive material directory.
Teaching methods
36 hours of classroom teaching and exercises, independent study, 101.5 hours of practical work.
Doing exercises in your own time in addition to lessons is essential if you want to achieve the skills and professional qualifications required in working life.
Exam schedules
There is no exam in the course. Competence is demonstrated through practice tasks.
Completion alternatives
There is no exam in the course. Returnable practice tasks or a project of a similar size, which can be used to demonstrate competence in the subject area being discussed.
Student workload
36 hours of face-to-face teaching and practice sessions
independent study and 101.5 hours of practical work.
Study course late spring with emphasis.
Assessment criteria, satisfactory (1)
The student knows the basic principles of the digital twin.
Assessment criteria, good (3)
The student knows the visual and functional modeling of a digital model.
Assessment criteria, excellent (5)
The student can design and implement a visual and functional model of the digital twin and to combine the real-world equivalent with the digital twin.
Further information
We use game engines and game technology in the Study Course. Completing the course requires hardware that enables unreal/unity game engine development. Students have access to the school's computers and the opportunity to use the Citrix service