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Robotics (5 ECTS)

Code: TX00FO82-3002

General information


Enrollment
05.05.2025 - 31.05.2025
Registration for the implementation has ended.
Timing
25.08.2025 - 12.10.2025
The implementation has not yet started.
Number of ECTS credits allocated
5 ECTS
Mode of delivery
On-campus
Unit
(2019-2024) Electricity and Automation Team
Campus
Leiritie 1
Teaching languages
Finnish
Degree programmes
Electrical and Automation Engineering
Teachers
Timo Tuominen
Teacher in charge
Raisa Kallio
Course
TX00FO82

Implementation has 21 reservations. Total duration of reservations is 84 h 0 min.

Time Topic Location
Tue 26.08.2025 time 12:00 - 16:00
(4 h 0 min)
Robotiikka TX00FO82-3002
MMB340 IT-Tila, CAD
Wed 27.08.2025 time 11:00 - 15:00
(4 h 0 min)
Robotiikka TX00FO82-3002
MMB340 IT-Tila, CAD
Thu 28.08.2025 time 12:00 - 16:00
(4 h 0 min)
Robotiikka TX00FO82-3002
MMB344 IT-Tila, CAD
Wed 03.09.2025 time 11:00 - 15:00
(4 h 0 min)
Robotiikka TX00FO82-3002
MMB340 IT-Tila, CAD
Thu 04.09.2025 time 08:00 - 12:00
(4 h 0 min)
Robotiikka TX00FO82-3002
MMB340 IT-Tila, CAD
Thu 04.09.2025 time 12:00 - 16:00
(4 h 0 min)
Robotiikka TX00FO82-3002
MMB344 IT-Tila, CAD
Tue 09.09.2025 time 12:00 - 16:00
(4 h 0 min)
Robotiikka TX00FO82-3002
MMB340 IT-Tila, CAD
Thu 11.09.2025 time 12:00 - 16:00
(4 h 0 min)
Robotiikka TX00FO82-3002
MMB344 IT-Tila, CAD
Fri 12.09.2025 time 12:00 - 16:00
(4 h 0 min)
Robotiikka TX00FO82-3002
MMB344 IT-Tila, CAD
Tue 16.09.2025 time 12:00 - 16:00
(4 h 0 min)
Robotiikka TX00FO82-3002
MMB249 IT-Tila
Thu 18.09.2025 time 12:00 - 16:00
(4 h 0 min)
Robotiikka TX00FO82-3002
MMB249 IT-Tila
Fri 19.09.2025 time 12:00 - 16:00
(4 h 0 min)
Robotiikka TX00FO82-3002
MMB249 IT-Tila
Tue 23.09.2025 time 12:00 - 16:00
(4 h 0 min)
Robotiikka TX00FO82-3002
MMB249 IT-Tila
Wed 24.09.2025 time 10:00 - 14:00
(4 h 0 min)
Robotiikka TX00FO82-3002
MMB249 IT-Tila
Thu 25.09.2025 time 12:00 - 16:00
(4 h 0 min)
Robotiikka TX00FO82-3002
MMB249 IT-Tila
Tue 30.09.2025 time 12:00 - 16:00
(4 h 0 min)
Robotiikka TX00FO82-3002
MMB249 IT-Tila
Wed 01.10.2025 time 12:00 - 16:00
(4 h 0 min)
Robotiikka TX00FO82-3002
MMB249 IT-Tila
Thu 02.10.2025 time 12:00 - 16:00
(4 h 0 min)
Robotiikka TX00FO82-3002
MMB249 IT-Tila
Tue 07.10.2025 time 12:00 - 16:00
(4 h 0 min)
Robotiikka TX00FO82-3002
MMC376.3 Automaatiolaboratorio 3, Robotiikka
Thu 09.10.2025 time 12:00 - 16:00
(4 h 0 min)
Robotiikka TX00FO82-3002
MMC376.3 Automaatiolaboratorio 3, Robotiikka
Fri 10.10.2025 time 12:00 - 16:00
(4 h 0 min)
Robotiikka TX00FO82-3002
MMC376.3 Automaatiolaboratorio 3, Robotiikka
Changes to reservations may be possible.

Objective

Student knows most common structures of industrial robots. Student is acquainted with realizing robotic projects and knows various types of robotic solutions. Student knows possibilities of robots in product handling. Student can prepare on-line programs for robots in automation laboratory. Student is able to simulate robot cells and plan robot programs with simulation systems in automation laboratory.

Content

• 3D-Cad modelling and printing techniques
• Robots in industrial automation
• Robot structures, safety systems, sensors and end-of-arm tooling
• Robot programming and simulation
• Robot kinematics and control

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development. The student has completed the required learning exercises in minimum requirement level. His/her competences have developed in a way that he/she may complete the remaining studies in electrical engineering and automation technology and finally work in a suitable job position related to this field.

Assessment criteria, good (3)

The student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. The student has completed the required learning exercises in good or satisfactory level. The student is able to define the course concepts and models and is able to justify the analysis. The student is able to apply their knowledge in study and work situations. The student understands the importance of expertise in the field of electrical engineering and automation technology and is able to analyze his/her own expertise.

Assessment criteria, excellent (5)

The student has achieved the objectives of the course with excellent marks. The student master commendably the course subject area’s concepts and models. The student has completed the required learning exercises in good or excellent level. The student is able to make justified and fluent analysis and to present concrete development measures. The student is well prepared to apply their knowledge study and work situations. Students are able to analyze the expertise in electrical engineering and automation technology and the evolvement of their own expertise.

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