Robot Programming (3 cr)
Code: KK00BB80-3017
General information
- Enrollment
-
02.07.2025 - 31.07.2025
Registration for introductions has not started yet.
- Timing
-
01.08.2025 - 26.10.2025
The implementation has not yet started.
- Number of ECTS credits allocated
- 3 cr
- Local portion
- 3 cr
- Mode of delivery
- Contact learning
- Unit
- Teknologia
- Teaching languages
- Finnish
- Degree programmes
- Bachelor’s Degree in Mechanical Engineering
Realization has 7 reservations. Total duration of reservations is 21 h 45 min.
| Time | Topic | Location |
|---|---|---|
|
Mon 25.08.2025 time 18:00 - 20:15 (2 h 15 min) |
Robottien ohjelmointi KK00BB80-3017 |
Teams opetus
|
|
Mon 01.09.2025 time 17:00 - 20:15 (3 h 15 min) |
Robottien ohjelmointi KK00BB80-3017 |
Teams opetus
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|
Mon 08.09.2025 time 17:00 - 20:15 (3 h 15 min) |
Robottien ohjelmointi KK00BB80-3017 |
Teams opetus
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Mon 15.09.2025 time 17:00 - 20:15 (3 h 15 min) |
Robottien ohjelmointi KK00BB80-3017 |
Teams opetus
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|
Mon 22.09.2025 time 17:00 - 20:15 (3 h 15 min) |
Robottien ohjelmointi KK00BB80-3017 |
Teams opetus
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|
Mon 29.09.2025 time 17:00 - 20:15 (3 h 15 min) |
Robottien ohjelmointi KK00BB80-3017 |
Teams opetus
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|
Mon 06.10.2025 time 17:00 - 20:15 (3 h 15 min) |
Robottien ohjelmointi KK00BB80-3017 |
Teams opetus
|
Objective
Students will have in depth competence in programming different types of industrial robots for a variety of industrial applications.
Content
Programme structure
Forms of movement and movement commands
Programme variables and constants
Condition and repetition structures
I/O functions
Materials
Material assigned by the teacher.
Evaluation scale
0 - 5
Assessment criteria, approved/failed
With the help of the learning tasks, the two areas mentioned below are evaluated. The criteria for an acceptable level are as follows:
Operating environment knowledge
-The student knows how to program an industrial robot application and justify his programming method.
Reflection skills
-The student can realistically and critically assess the starting points, goals, results and own learning of their own activities.
An approved performance requires:
-Returns of learning tasks
- Self-assessment
- Course feedback
Prerequisites
Robotics