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Basics of Robotics (5 cr)

Code: TX00DS99-3011

General information


Enrollment
02.12.2024 - 31.12.2024
Registration for the implementation has ended.
Timing
13.01.2025 - 11.05.2025
Implementation is running.
Number of ECTS credits allocated
5 cr
Local portion
5 cr
Mode of delivery
On-campus
Unit
(2019-2024) School of Smart and Clean Solutions
Campus
Leiritie 1
Teaching languages
Finnish
Degree programmes
Electrical and Automation Engineering
Teachers
Timo Tuominen
Teacher in charge
Raisa Kallio
Groups
SA23S
Automaatiotekniikan pääaine, syksyllä 2023 aloittaneet päiväopiskelijat
Course
TX00DS99

Implementation has 33 reservations. Total duration of reservations is 99 h 0 min.

Time Topic Location
Tue 28.01.2025 time 09:00 - 12:00
(3 h 0 min)
Robotiikan perusteet TX00DS99-3011
MMB344 IT-Tila, CAD
Tue 28.01.2025 time 13:00 - 16:00
(3 h 0 min)
Robotiikan perusteet TX00DS99-3011
MMB344 IT-Tila, CAD
Wed 29.01.2025 time 08:00 - 11:00
(3 h 0 min)
Robotiikan perusteet TX00DS99-3011
MMB340 IT-Tila, CAD
Tue 04.02.2025 time 08:00 - 11:00
(3 h 0 min)
Robotiikan perusteet TX00DS99-3011
MMB344 IT-Tila, CAD
Fri 07.02.2025 time 09:00 - 12:00
(3 h 0 min)
Robotiikan perusteet TX00DS99-3011
MMB344 IT-Tila, CAD
Fri 07.02.2025 time 12:00 - 15:00
(3 h 0 min)
Robotiikan perusteet TX00DS99-3011
MMB331 IT-Tila, CAD
Mon 10.02.2025 time 08:00 - 11:00
(3 h 0 min)
Robotiikan perusteet TX00DS99-3011
MMB344 IT-Tila, CAD
Wed 12.02.2025 time 08:00 - 11:00
(3 h 0 min)
Robotiikan perusteet TX00DS99-3011
MMB340 IT-Tila, CAD
Fri 14.02.2025 time 09:00 - 12:00
(3 h 0 min)
Robotiikan perusteet TX00DS99-3011
MMB344 IT-Tila, CAD
Mon 24.02.2025 time 08:00 - 11:00
(3 h 0 min)
Robotiikan perusteet TX00DS99-3011
MMB344 IT-Tila, CAD
Tue 25.02.2025 time 08:00 - 11:00
(3 h 0 min)
Robotiikan perusteet TX00DS99-3011
MMB344 IT-Tila, CAD
Wed 26.02.2025 time 08:00 - 11:00
(3 h 0 min)
Robotiikan perusteet TX00DS99-3011
MMB340 IT-Tila, CAD
Tue 04.03.2025 time 08:00 - 11:00
(3 h 0 min)
Robotiikan perusteet TX00DS99-3011
MMB344 IT-Tila, CAD
Tue 04.03.2025 time 13:00 - 16:00
(3 h 0 min)
Robotiikan perusteet TX00DS99-3011
MMB340 IT-Tila, CAD
Wed 05.03.2025 time 08:00 - 11:00
(3 h 0 min)
Robotiikan perusteet TX00DS99-3011
MMB340 IT-Tila, CAD
Tue 11.03.2025 time 10:00 - 13:00
(3 h 0 min)
Robotiikan perusteet TX00DS99-3011
MMB349 IT-Tila
Tue 11.03.2025 time 13:00 - 16:00
(3 h 0 min)
Robotiikan perusteet TX00DS99-3011
MMB349 IT-Tila
Wed 12.03.2025 time 08:00 - 11:00
(3 h 0 min)
Robotiikan perusteet TX00DS99-3011
MMB249 IT-Tila
Tue 18.03.2025 time 13:00 - 16:00
(3 h 0 min)
Robotiikan perusteet TX00DS99-3011
MMB349 IT-Tila
Fri 21.03.2025 time 08:00 - 11:00
(3 h 0 min)
Robotiikan perusteet TX00DS99-3011
MMB249 IT-Tila
Fri 21.03.2025 time 14:00 - 17:00
(3 h 0 min)
Robotiikan perusteet TX00DS99-3011
MMB249 IT-Tila
Tue 25.03.2025 time 11:00 - 14:00
(3 h 0 min)
Robotiikan perusteet TX00DS99-3011
MMB249 IT-Tila
Wed 26.03.2025 time 08:00 - 11:00
(3 h 0 min)
Robotiikan perusteet TX00DS99-3011
MMB249 IT-Tila
Thu 27.03.2025 time 11:00 - 14:00
(3 h 0 min)
Robotiikan perusteet TX00DS99-3011
MMB249 IT-Tila
Tue 01.04.2025 time 13:00 - 16:00
(3 h 0 min)
Robotiikan perusteet TX00DS99-3011
MMB349 IT-Tila
Fri 04.04.2025 time 08:00 - 11:00
(3 h 0 min)
Robotiikan perusteet TX00DS99-3011
MMB249 IT-Tila
Fri 04.04.2025 time 11:00 - 14:00
(3 h 0 min)
Robotiikan perusteet TX00DS99-3011
MMB249 IT-Tila
Tue 08.04.2025 time 11:00 - 14:00
(3 h 0 min)
Robotiikan perusteet TX00DS99-3011
MMB249 IT-Tila
Wed 09.04.2025 time 08:00 - 11:00
(3 h 0 min)
Robotiikan perusteet TX00DS99-3011
MMB249 IT-Tila
Fri 11.04.2025 time 08:00 - 11:00
(3 h 0 min)
Robotiikan perusteet TX00DS99-3011
MMB249 IT-Tila
Tue 22.04.2025 time 08:00 - 11:00
(3 h 0 min)
Robotiikan perusteet TX00DS99-3011
MMC376.3 Automaatiolaboratorio 3, Robotiikka
Wed 23.04.2025 time 08:00 - 11:00
(3 h 0 min)
Robotiikan perusteet TX00DS99-3011
MMC376.3 Automaatiolaboratorio 3, Robotiikka
Tue 29.04.2025 time 08:00 - 11:00
(3 h 0 min)
Robotiikan perusteet TX00DS99-3011
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

1. 3D-Cad modelling and printing techniques
2. Robots in industrial automation
3. Robot structures, safety systems, sensors and end-of-arm tooling
4. Robot programming and simulation
5. 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.

Assessment criteria, approved/failed

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.

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