Industrial Robotics (3 cr)
Code: TSAR0530-3007
General information
- Enrollment
-
01.11.2024 - 09.01.2025
Registration for the implementation has ended.
- Timing
-
13.01.2025 - 18.05.2025
Implementation is running.
- Number of ECTS credits allocated
- 3 cr
- Local portion
- 3 cr
- Mode of delivery
- Face-to-face
- Unit
- School of Technology
- Campus
- Lutakko Campus
- Teaching languages
- English
- Seats
- 20 - 35
- Degree programmes
- Bachelor's Degree Programme in Electrical and Automation Engineering
- Teachers
- Samppa Alanen
- Groups
-
TAR22S1Bachelor's Degree Programme in Automation and Robotics
- Course
- TSAR0530
Realization has 14 reservations. Total duration of reservations is 21 h 0 min.
Time | Topic | Location |
---|---|---|
Mon 20.01.2025 time 13:15 - 14:45 (1 h 30 min) |
Industrial Robotics TSAR0530-3007 |
R35BP06
IT-tila Marata/Tourism/LIKE BTI/TEKN
|
Mon 27.01.2025 time 13:15 - 14:45 (1 h 30 min) |
Industrial Robotics TSAR0530-3007 |
R35BP06
IT-tila Marata/Tourism/LIKE BTI/TEKN
|
Mon 03.02.2025 time 13:15 - 14:45 (1 h 30 min) |
Industrial Robotics TSAR0530-3007 |
R35BP06
IT-tila Marata/Tourism/LIKE BTI/TEKN
|
Mon 10.02.2025 time 13:15 - 14:45 (1 h 30 min) |
Industrial Robotics TSAR0530-3007 |
R35BP06
IT-tila Marata/Tourism/LIKE BTI/TEKN
|
Mon 17.02.2025 time 13:15 - 14:45 (1 h 30 min) |
Industrial Robotics TSAR0530-3007 |
R35BP06
IT-tila Marata/Tourism/LIKE BTI/TEKN
|
Tue 04.03.2025 time 11:30 - 13:00 (1 h 30 min) |
Industrial Robotics TSAR0530-3007 |
R35BP06
IT-tila Marata/Tourism/LIKE BTI/TEKN
|
Tue 11.03.2025 time 11:30 - 13:00 (1 h 30 min) |
Industrial Robotics TSAR0530-3007 |
R35F133
IT-laboratorio
|
Tue 18.03.2025 time 11:30 - 13:00 (1 h 30 min) |
Industrial Robotics TSAR0530-3007 |
R35F211
CAE-laboratorio
|
Tue 25.03.2025 time 11:30 - 13:00 (1 h 30 min) |
Industrial Robotics TSAR0530-3007 |
R35F133
IT-laboratorio
|
Tue 01.04.2025 time 11:30 - 13:00 (1 h 30 min) |
Industrial Robotics TSAR0530-3007 |
R35F133
IT-laboratorio
|
Tue 08.04.2025 time 11:30 - 13:00 (1 h 30 min) |
Industrial Robotics TSAR0530-3007 |
R35F133
IT-laboratorio
|
Mon 14.04.2025 time 09:00 - 10:30 (1 h 30 min) |
Industrial Robotics TSAR0530-3007 |
R35F310
CAE-lab
|
Thu 24.04.2025 time 09:00 - 10:30 (1 h 30 min) |
Industrial Robotics TSAR0530-3007 |
R35F310
CAE-lab
|
Tue 29.04.2025 time 11:30 - 13:00 (1 h 30 min) |
Industrial Robotics TSAR0530-3007 |
R35F133
IT-laboratorio
|
Evaluation scale
0-5
Objective
Main objective for this course is acquiring knowledge in industrial robotics. Studying in this course require knowledge in fundamentals of technology and programming skills. This course enables further studies of the subject in other courses.
EUR-ACE APPLYING TECHNOLOGY INTO PRACTICE
Student is familiar with the structures and applications of industrial robots as well as programming methods. Student is able to design a robot into part of production cell.
Content
Industrial robots, structures, applications
Designing robot cell
Programming robots
Materials
Materials in the e-learning environment.
Teaching methods
- independent study
- distance learning and remote lectures
- webinars
- small group learning
- learning tasks
Exam schedules
The possible date and method of the exam will be announced in the course opening.
Completion alternatives
The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.
Student workload
One credit (1 Cr) corresponds to an average of 27 hours of work.
- lectures 30h
- assignments; group and independent study 51h
Total 81h
Assessment criteria, satisfactory (1)
Sufficient (1): Student recognizes the basics and terminology, but has shortcomings in understanding the key issues.
Satisfactory (2): Student knows the basics and terminology, but has shortcomings in the application of key issues.
Assessment criteria, good (3)
Good (3): Student is able to apply the basics in practice.
Very good (4): Student knows the key subjects and is able to apply them in different implementations.
Assessment criteria, excellent (5)
Excellent (5): Student masters key subjects and is able to apply them creatively and innovatively.
Qualifications
Fundamentals in technology, programming skills
Further information
The evaluation is based on the qualitative evaluation of the exam and exercises/assignments.