Digitalizing technology (5 cr)
Code: TX00EI14-3017
General information
- Enrollment
-
01.05.2024 - 31.08.2024
Registration for the implementation has ended.
- Timing
-
19.08.2024 - 20.12.2024
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
- Seats
- 0 - 40
- Degree programmes
- Mechanical Engineering
Implementation has 19 reservations. Total duration of reservations is 51 h 0 min.
Time | Topic | Location |
---|---|---|
Thu 22.08.2024 time 16:00 - 17:00 (1 h 0 min) |
Digitalisoituva tekniikka TX00EI14-3015, Digitalisoituva tekniikka TX00EI14-3016, Digitalisoituva tekniikka TX00EI14-3017 |
Online
|
Thu 29.08.2024 time 08:00 - 10:00 (2 h 0 min) |
Digitalisoituva tekniikka TX00EI14-3015, Digitalisoituva tekniikka TX00EI14-3016, Digitalisoituva tekniikka TX00EI14-3017 |
MMA101
A-auditorio
|
Thu 05.09.2024 time 08:00 - 10:00 (2 h 0 min) |
Digitalisoituva tekniikka TX00EI14-3015, Digitalisoituva tekniikka TX00EI14-3016, Digitalisoituva tekniikka TX00EI14-3017 |
MMA101
A-auditorio
|
Fri 13.09.2024 time 08:00 - 10:00 (2 h 0 min) |
Digitalisoituva tekniikka TX00EI14-3015, Digitalisoituva tekniikka TX00EI14-3016, Digitalisoituva tekniikka TX00EI14-3017 |
MMA101
A-auditorio
|
Fri 20.09.2024 time 08:00 - 10:00 (2 h 0 min) |
Digitalisoituva tekniikka TX00EI14-3015, Digitalisoituva tekniikka TX00EI14-3016, Digitalisoituva tekniikka TX00EI14-3017 |
MMA101
A-auditorio
|
Thu 26.09.2024 time 08:00 - 11:00 (3 h 0 min) |
Digitalisoituva tekniikka TX00EI14-3017 |
MMC376.4
Automaatiolaboratorio 4, Koneautomaatio
|
Thu 26.09.2024 time 12:00 - 15:00 (3 h 0 min) |
Digitalisoituva tekniikka TX00EI14-3017 |
MMC376.4
Automaatiolaboratorio 4, Koneautomaatio
|
Wed 09.10.2024 time 09:00 - 12:00 (3 h 0 min) |
Digitalisoituva tekniikka TX00EI14-3017 |
MMC376.4
Automaatiolaboratorio 4, Koneautomaatio
|
Wed 09.10.2024 time 14:00 - 17:00 (3 h 0 min) |
Digitalisoituva tekniikka TX00EI14-3017 |
MMC376.4
Automaatiolaboratorio 4, Koneautomaatio
|
Wed 23.10.2024 time 08:00 - 11:00 (3 h 0 min) |
Digitalisoituva tekniikka TX00EI14-3017 |
MMC376.4
Automaatiolaboratorio 4, Koneautomaatio
|
Wed 23.10.2024 time 14:00 - 17:00 (3 h 0 min) |
Digitalisoituva tekniikka TX00EI14-3017 |
MMC376.4
Automaatiolaboratorio 4, Koneautomaatio
|
Wed 06.11.2024 time 08:00 - 11:00 (3 h 0 min) |
Digitalisoituva tekniikka TX00EI14-3017 |
MMC376.4
Automaatiolaboratorio 4, Koneautomaatio
|
Wed 06.11.2024 time 14:00 - 17:00 (3 h 0 min) |
Digitalisoituva tekniikka TX00EI14-3017 |
MMC376.4
Automaatiolaboratorio 4, Koneautomaatio
|
Wed 20.11.2024 time 08:00 - 11:00 (3 h 0 min) |
Digitalisoituva tekniikka TX00EI14-3017 |
MMC376.4
Automaatiolaboratorio 4, Koneautomaatio
|
Wed 20.11.2024 time 14:00 - 17:00 (3 h 0 min) |
Digitalisoituva tekniikka TX00EI14-3017 |
MMC376.4
Automaatiolaboratorio 4, Koneautomaatio
|
Mon 02.12.2024 time 08:00 - 11:00 (3 h 0 min) |
Digitalisoituva tekniikka TX00EI14-3017 |
MMC376.4
Automaatiolaboratorio 4, Koneautomaatio
|
Mon 02.12.2024 time 11:00 - 14:00 (3 h 0 min) |
Digitalisoituva tekniikka TX00EI14-3017 |
MMC376.3
Automaatiolaboratorio 3, Robotiikka
|
Tue 03.12.2024 time 14:00 - 17:00 (3 h 0 min) |
Digitalisoituva tekniikka TX00EI14-3017 |
MMC367.1
Pneumatiikan ja Hydrauliikan laboratorio
MMC367.2 Pneumatiikan ja hydrauliikan laboratorio |
Wed 04.12.2024 time 08:00 - 11:00 (3 h 0 min) |
Digitalisoituva tekniikka TX00EI14-3017 |
MMC376.4
Automaatiolaboratorio 4, Koneautomaatio
|
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
Teaching methods
Getting started in Online Teams
Seminars in the auditorium
Labs as contact teaching
Exam
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.
Assessment methods and criteria
Seminars in the auditorium 20%
Labs as contact teaching 36 %
Exam 44%
Total 100%