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Digitalizing technology (5 cr)

Code: TX00EI14-3016

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
Degree programmes
Mechanical Engineering
Teachers
Maria Sjöholm
Teacher in charge
Maria Sjöholm
Groups
K24B
Konetekniikka, aloittaneet opiskelun s.2024
Course
TX00EI14

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
Mon 30.09.2024 time 08:00 - 11:00
(3 h 0 min)
Digitalisoituva tekniikka TX00EI14-3016
MMC376.4 Automaatiolaboratorio 4, Koneautomaatio
Wed 02.10.2024 time 08:00 - 11:00
(3 h 0 min)
Digitalisoituva tekniikka TX00EI14-3016
MMC376.4 Automaatiolaboratorio 4, Koneautomaatio
Thu 10.10.2024 time 08:00 - 11:00
(3 h 0 min)
Digitalisoituva tekniikka TX00EI14-3016
MMC376.4 Automaatiolaboratorio 4, Koneautomaatio
Thu 10.10.2024 time 12:00 - 15:00
(3 h 0 min)
Digitalisoituva tekniikka TX00EI14-3016
MMC376.4 Automaatiolaboratorio 4, Koneautomaatio
Mon 28.10.2024 time 08:00 - 11:00
(3 h 0 min)
Digitalisoituva tekniikka TX00EI14-3016
MMC376.4 Automaatiolaboratorio 4, Koneautomaatio
Wed 30.10.2024 time 08:00 - 11:00
(3 h 0 min)
Digitalisoituva tekniikka TX00EI14-3016
MMC376.4 Automaatiolaboratorio 4, Koneautomaatio
Mon 11.11.2024 time 08:00 - 11:00
(3 h 0 min)
Digitalisoituva tekniikka TX00EI14-3016
MMC376.4 Automaatiolaboratorio 4, Koneautomaatio
Wed 13.11.2024 time 08:00 - 11:00
(3 h 0 min)
Digitalisoituva tekniikka TX00EI14-3016
MMC376.4 Automaatiolaboratorio 4, Koneautomaatio
Mon 18.11.2024 time 08:00 - 11:00
(3 h 0 min)
Digitalisoituva tekniikka TX00EI14-3016
MMC376.4 Automaatiolaboratorio 4, Koneautomaatio
Thu 21.11.2024 time 12:00 - 15:00
(3 h 0 min)
Digitalisoituva tekniikka TX00EI14-3016
MMC376.4 Automaatiolaboratorio 4, Koneautomaatio
Mon 25.11.2024 time 08:00 - 11:00
(3 h 0 min)
Digitalisoituva tekniikka TX00EI14-3016
MMC376.4 Automaatiolaboratorio 4, Koneautomaatio
Tue 26.11.2024 time 13:00 - 16:00
(3 h 0 min)
Digitalisoituva tekniikka TX00EI14-3016
MMC367.1 Pneumatiikan ja Hydrauliikan laboratorio
MMC367.2 Pneumatiikan ja hydrauliikan laboratorio
Wed 27.11.2024 time 08:00 - 11:00
(3 h 0 min)
Digitalisoituva tekniikka TX00EI14-3016
MMC376.4 Automaatiolaboratorio 4, Koneautomaatio
Thu 28.11.2024 time 12:30 - 15:30
(3 h 0 min)
Digitalisoituva tekniikka TX00EI14-3016
MMC376.4 Automaatiolaboratorio 4, Koneautomaatio
Changes to reservations may be possible.

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%

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