Digitalizing technology (5 ECTS)
Code: TX00FY37-3001
General information
- Enrollment
-
05.05.2025 - 31.08.2025
Enrollment is ongoing
Enroll to the implementation in OMA
- Timing
-
25.08.2025 - 21.12.2025
The implementation has not yet started.
- Number of ECTS credits allocated
- 5 ECTS
- Mode of delivery
- On-campus
- Unit
- (2019-2024) School of Automotive and Mechanical Engineering
- Campus
- Leiritie 1
- Teaching languages
- English
- Degree programmes
- Degree Programme in Mechanical Engineering
- Teachers
- Maria Sjöholm
- Teacher in charge
- Maria Sjöholm
- Groups
-
ME25AMechanical Engineering aloittaneet syksyllä 2025
- Course
- TX00FY37
Implementation has 10 reservations. Total duration of reservations is 29 h 0 min.
| Time | Topic | Location |
|---|---|---|
|
Thu 28.08.2025 time 15:00 - 16:00 (1 h 0 min) |
Digitalisoituva tekniikka TX00FY37-3001/3002 |
Online
|
|
Tue 02.09.2025 time 15:00 - 17:00 (2 h 0 min) |
Digitalizing technology TX00FY37-3001, Digitalizing technology TX00FY37-3002 |
MMB301
Auditorio 3 krs.
|
|
Tue 09.09.2025 time 15:00 - 17:00 (2 h 0 min) |
Digitalizing technology TX00FY37-3001, Digitalizing technology TX00FY37-3002 |
MMB301
Auditorio 3 krs.
|
|
Thu 11.09.2025 time 08:00 - 12:00 (4 h 0 min) |
Digitalisoituva tekniikka TX00FY37-3001 |
MMC376.4
Automaatiolaboratorio 4, Koneautomaatio
|
|
Tue 16.09.2025 time 15:00 - 17:00 (2 h 0 min) |
Digitalizing technology TX00FY37-3001, Digitalizing technology TX00FY37-3002 |
MMB301
Auditorio 3 krs.
|
|
Thu 18.09.2025 time 08:00 - 12:00 (4 h 0 min) |
Digitalisoituva tekniikka TX00FY37-3001 |
MMC376.4
Automaatiolaboratorio 4, Koneautomaatio
|
|
Tue 23.09.2025 time 15:00 - 17:00 (2 h 0 min) |
Digitalizing technology TX00FY37-3001, Digitalizing technology TX00FY37-3002 |
MMB301
Auditorio 3 krs.
|
|
Thu 25.09.2025 time 08:00 - 12:00 (4 h 0 min) |
Digitalisoituva tekniikka TX00FY37-3001 |
MMC376.4
Automaatiolaboratorio 4, Koneautomaatio
|
|
Thu 02.10.2025 time 08:00 - 12:00 (4 h 0 min) |
Digitalisoituva tekniikka TX00FY37-3001 |
MMC376.4
Automaatiolaboratorio 4, Koneautomaatio
|
|
Wed 08.10.2025 time 12:00 - 16:00 (4 h 0 min) |
Digitalisoituva tekniikka TX00FY37-3001 |
MMC376.4
Automaatiolaboratorio 4, Koneautomaatio
|
Objective
The student
• understands the principle of mechatronic systems
• knows how to use and build simple mechatronic systems
• knows the most common robot types, understands their working principles and knows how to design simple programs for robots
• knows relevant XR-technologies and how to utilise AI and cloud services.
Content
• Mechatronic systems
• Robotics
• XR
• AI applications and cloud computing
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
The student knows how to use simple mechatronics systems. The student can designate the most common robot types. The student understands the basics of XR technologies and artificial intelligence, as well as the technology of exploiting cloud services.
Assessment criteria, good (3)
The student understands the principle of the mechatronics systems. The student can explain how robots operate. The student can explain the operating principle of XR technologies and the technology of artificial intelligence and cloud computing.
Assessment criteria, excellent (5)
The student knows how to build simple mechatronics systems. Students can design simple programs for robots. The student knows how to identify XR technologies, artificial intelligence and cloud computing opportunities in technology.
Assessment criteria, approved/failed
The student knows how to use simple mechatronics systems. The student can designate the most common robot types. The student understands the basics of XR technologies and artificial intelligence, as well as the technology of exploiting cloud services.