Digitalizing technology (5 cr)
Code: TX00EI14-3012
General information
- Enrollment
-
01.05.2023 - 31.08.2023
Registration for the implementation has ended.
- Timing
-
21.08.2023 - 17.12.2023
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- On-campus
- Unit
- (2019-2024) School of Automotive and Mechanical Engineering
- Campus
- Leiritie 1
- Teaching languages
- Finnish
- Degree programmes
- Mechanical Engineering
- Teachers
- Maria Sjöholm
- Teacher in charge
- Maria Sjöholm
- Groups
-
K23AKonetekniikka, aloittaneet opiskelun s.2023
- Course
- TX00EI14
Implementation has 19 reservations. Total duration of reservations is 51 h 0 min.
| Time | Topic | Location |
|---|---|---|
|
Tue 22.08.2023 time 15:00 - 16:00 (1 h 0 min) |
Digitalisoituva tekniikka TX00EI14-3012, Digitalisoituva tekniikka TX00EI14-3013, Digitalisoituva tekniikka TX00EI14-3014 |
|
|
Wed 30.08.2023 time 08:00 - 10:00 (2 h 0 min) |
Digitalisoituva tekniikka TX00EI14-3012, Digitalisoituva tekniikka TX00EI14-3013, Digitalisoituva tekniikka TX00EI14-3014 |
MMA101
A-auditorio
|
|
Wed 06.09.2023 time 08:00 - 10:00 (2 h 0 min) |
Digitalisoituva tekniikka TX00EI14-3012, Digitalisoituva tekniikka TX00EI14-3013, Digitalisoituva tekniikka TX00EI14-3014 |
MMA101
A-auditorio
|
|
Wed 13.09.2023 time 08:00 - 10:00 (2 h 0 min) |
Digitalisoituva tekniikka TX00EI14-3012, Digitalisoituva tekniikka TX00EI14-3013, Digitalisoituva tekniikka TX00EI14-3014 |
MMA101
A-auditorio
|
|
Wed 20.09.2023 time 08:00 - 10:00 (2 h 0 min) |
Digitalisoituva tekniikka TX00EI14-3012, Digitalisoituva tekniikka TX00EI14-3013, Digitalisoituva tekniikka TX00EI14-3014 |
MMA101
A-auditorio
|
|
Fri 29.09.2023 time 08:00 - 11:00 (3 h 0 min) |
Digitalisoituva tekniikka TX00EI14-3012 |
MMC376.4
Automaatiolaboratorio 4, Koneautomaatio
|
|
Wed 04.10.2023 time 13:00 - 16:00 (3 h 0 min) |
Digitalisoituva tekniikka TX00EI14-3012 |
MMC376.4
Automaatiolaboratorio 4, Koneautomaatio
|
|
Wed 11.10.2023 time 13:00 - 16:00 (3 h 0 min) |
Digitalisoituva tekniikka TX00EI14-3012 |
MMC376.4
Automaatiolaboratorio 4, Koneautomaatio
|
|
Thu 26.10.2023 time 14:00 - 17:00 (3 h 0 min) |
Digitalisoituva tekniikka TX00EI14-3012 |
MMC376.4
Automaatiolaboratorio 4, Koneautomaatio
|
|
Fri 27.10.2023 time 08:00 - 11:00 (3 h 0 min) |
Digitalisoituva tekniikka TX00EI14-3012 |
MMC376.4
Automaatiolaboratorio 4, Koneautomaatio
|
|
Fri 27.10.2023 time 11:00 - 14:00 (3 h 0 min) |
Digitalisoituva tekniikka TX00EI14-3012 |
MMC376.4
Automaatiolaboratorio 4, Koneautomaatio
|
|
Thu 02.11.2023 time 14:00 - 17:00 (3 h 0 min) |
Digitalisoituva tekniikka TX00EI14-3012 |
MMC376.4
Automaatiolaboratorio 4, Koneautomaatio
|
|
Fri 03.11.2023 time 08:00 - 11:00 (3 h 0 min) |
Digitalisoituva tekniikka TX00EI14-3012 |
MMC376.4
Automaatiolaboratorio 4, Koneautomaatio
|
|
Fri 10.11.2023 time 08:00 - 11:00 (3 h 0 min) |
Digitalisoituva tekniikka TX00EI14-3012 |
MMC376.4
Automaatiolaboratorio 4, Koneautomaatio
|
|
Fri 10.11.2023 time 12:00 - 15:00 (3 h 0 min) |
Digitalisoituva tekniikka TX00EI14-3012 |
MMC376.4
Automaatiolaboratorio 4, Koneautomaatio
|
|
Fri 17.11.2023 time 08:30 - 11:30 (3 h 0 min) |
Digitalisoituva tekniikka TX00EI14-3012 |
MMC376.4
Automaatiolaboratorio 4, Koneautomaatio
|
|
Tue 21.11.2023 time 14:00 - 17:00 (3 h 0 min) |
Digitalisoituva tekniikka TX00EI14-3012 |
MMC376.4
Automaatiolaboratorio 4, Koneautomaatio
|
|
Fri 24.11.2023 time 08:30 - 11:30 (3 h 0 min) |
Digitalisoituva tekniikka TX00EI14-3012 |
MMC376.4
Automaatiolaboratorio 4, Koneautomaatio
|
|
Tue 28.11.2023 time 14:00 - 17:00 (3 h 0 min) |
Digitalisoituva tekniikka TX00EI14-3012 |
MMC376.3
Automaatiolaboratorio 3, Robotiikka
|
Objective
After completing the course, the student can explain the functional principle of mechatronics systems, use simple mechatronics systems and build simple mechatronics systems. The student knows the most common robot types. The student can explains the operating principles of the most common robots and design simple programs for robots. The student knows the basics of VR/AR and AI and the cloud computing. The student can explain the operating principle of 3D printing devices.
Content
1. Mechatronics Systems
2. Robotics
3. VR/AR
4. AI
5. Cloud Computing
6. 3D printing
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 VR/AR Technologies and artificial intelligence, as well as the technology of exploiting cloud services. The students can explain the operating principle of 3D printing devices.
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 VR/AR technologies and the technology of artificial intelligence and cloud computing. The students understand the operating principle of 3D printing devices.
Assessment criteria, excellent (5)
The student know how to build simple mechatronics systems. Students can design simple programs for robots. The students know how to identify VR/AR technologies, artificial intelligence and cloud computing opportunities in technology. The students understand 3D printing devices.
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 VR/AR Technologies and artificial intelligence, as well as the technology of exploiting cloud services. The students can explain the operating principle of 3D printing devices.