Basics of Robotics (5 cr)
Code: TX00DS99-3009
General information
- Enrollment
-
27.11.2023 - 31.12.2023
Registration for the implementation has ended.
- Timing
-
15.01.2024 - 10.05.2024
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- On-campus
- Unit
- (2019-2024) School of 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
-
SA22SAutomaatiotekniikan pääaine, syksyllä 2022 aloittaneet päiväopiskelijat
- Course
- TX00DS99
Implementation has 24 reservations. Total duration of reservations is 76 h 0 min.
Time | Topic | Location |
---|---|---|
Mon 15.01.2024 time 14:00 - 17:00 (3 h 0 min) |
Robotiikan perusteet TX00DS99-3009 |
MMB340
IT-Tila, CAD
|
Tue 16.01.2024 time 09:00 - 12:00 (3 h 0 min) |
Robotiikan perusteet TX00DS99-3009 |
MMB340
IT-Tila, CAD
|
Tue 16.01.2024 time 12:00 - 15:00 (3 h 0 min) |
Robotiikan perusteet TX00DS99-3009 |
MMB340
IT-Tila, CAD
|
Thu 18.01.2024 time 12:00 - 15:00 (3 h 0 min) |
Robotiikan perusteet TX00DS99-3009 |
MMB340
IT-Tila, CAD
|
Tue 23.01.2024 time 09:00 - 12:00 (3 h 0 min) |
Robotiikan perusteet TX00DS99-3009 |
MMB340
IT-Tila, CAD
|
Tue 23.01.2024 time 12:00 - 15:00 (3 h 0 min) |
Robotiikan perusteet TX00DS99-3009 |
MMB340
IT-Tila, CAD
|
Thu 25.01.2024 time 12:00 - 15:00 (3 h 0 min) |
Robotiikan perusteet TX00DS99-3009 |
MMB340
IT-Tila, CAD
|
Fri 26.01.2024 time 08:00 - 11:00 (3 h 0 min) |
Robotiikan perusteet TX00DS99-3009 |
MMB340
IT-Tila, CAD
|
Tue 30.01.2024 time 09:00 - 12:00 (3 h 0 min) |
Robotiikan perusteet TX00DS99-3009 |
MMB340
IT-Tila, CAD
|
Tue 30.01.2024 time 12:00 - 15:00 (3 h 0 min) |
Robotiikan perusteet TX00DS99-3009 |
MMB340
IT-Tila, CAD
|
Thu 01.02.2024 time 12:00 - 15:00 (3 h 0 min) |
Robotiikan perusteet TX00DS99-3009 |
MMB340
IT-Tila, CAD
|
Fri 02.02.2024 time 08:00 - 11:00 (3 h 0 min) |
Robotiikan perusteet TX00DS99-3009 |
lakon vuoksi etäluento ,kts moodle
|
Tue 06.02.2024 time 09:00 - 12:00 (3 h 0 min) |
Robotiikan perusteet TX00DS99-3009 |
MMB249
IT-Tila
|
Tue 06.02.2024 time 12:00 - 15:00 (3 h 0 min) |
Robotiikan perusteet TX00DS99-3009 |
MMB249
IT-Tila
|
Wed 07.02.2024 time 11:00 - 14:00 (3 h 0 min) |
Robotiikan perusteet TX00DS99-3009 |
MMB249
IT-Tila
|
Thu 08.02.2024 time 12:00 - 15:00 (3 h 0 min) |
Robotiikan perusteet TX00DS99-3009 |
MMB249
IT-Tila
|
Tue 13.02.2024 time 09:00 - 12:00 (3 h 0 min) |
Robotiikan perusteet TX00DS99-3009 |
MMB249
IT-Tila
|
Tue 13.02.2024 time 12:00 - 15:00 (3 h 0 min) |
Robotiikan perusteet TX00DS99-3009 |
MMB249
IT-Tila
|
Wed 14.02.2024 time 11:00 - 14:00 (3 h 0 min) |
Robotiikan perusteet TX00DS99-3009 |
MMB249
IT-Tila
|
Thu 15.02.2024 time 12:00 - 15:00 (3 h 0 min) |
Robotiikan perusteet TX00DS99-3009 |
MMB249
IT-Tila
|
Tue 27.02.2024 time 08:00 - 12:00 (4 h 0 min) |
Robotiikan perusteet TX00DS99-3009 |
MMC376.3
Automaatiolaboratorio 3, Robotiikka
|
Tue 27.02.2024 time 12:00 - 16:00 (4 h 0 min) |
Robotiikan perusteet TX00DS99-3009 |
MMC376.3
Automaatiolaboratorio 3, Robotiikka
|
Wed 28.02.2024 time 11:00 - 15:00 (4 h 0 min) |
Robotiikan perusteet TX00DS99-3009 |
MMC376.3
Automaatiolaboratorio 3, Robotiikka
|
Thu 29.02.2024 time 12:00 - 16:00 (4 h 0 min) |
Robotiikan perusteet TX00DS99-3009 |
MMC376.3
Automaatiolaboratorio 3, Robotiikka
|
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
Materials
- Lecture material
Teaching methods
- Lectures
- PC exercises
- Lab works
Student workload
Amount of work 5 ECTS = 135 hour
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.
Assessment methods and criteria
The grade is formed as follows
17 - 23,5 --> 1
24 - 29,5 --> 2
30 - 36,5 --> 3
37 - 43,5 --> 4
44 - 51 --> 5