Robotics
Structure Type: | Study unit |
---|---|
Code: | IKA0405 |
Curriculum: | KT 2025 |
Level: | Bachelor of Engineering |
Year of Study: | 1 (2025-2026) |
Semester: | Spring |
Credits: | 5 cr |
Responsible Teacher: | Billing, Mika |
Language of Instruction: | Finnish |
Courses During the Academic Year 2025-2026
Impl. | Group(s) | Study Time | Teacher(s) | Language | Enrolment |
---|---|---|---|---|---|
3010 | KT2023V-A, KT2023V-B | 2025-08-21 – 2025-12-20 | Sami Elomaa | Finnish | 2025-08-01 – 2025-09-06 |
3011 | KT2024-A, KT2024-B, KT2024-C, KT2024-D | 2026-01-07 – 2026-04-30 | Sami Elomaa | Finnish | |
3012 | KT2025-A, KT2025-B, KT2025-C, KT2025-D | 2026-01-07 – 2026-04-30 | Mika Billing | Finnish | |
3013 | KT2025V-A, KT2025V-B | 2026-01-07 – 2026-05-16 | Mika Billing | Finnish |
Taking the course in advance? See the courses during the academic year 2024-2025.
Learning Outcomes
The student will learn about the efficient and safe use and programming of industrial robots.
Student's Workload
Total work load of the course: 135 h
- of which scheduled studies: 60 h
- of which autonomous studies: 75 h
The assessment of student’s own learning 1 h is included in contact lessons.
Prerequisites / Recommended Optional Courses
IKA0404 Machine Automation
Contents
The implementation and construction of industrial robots, safety, applications and external devices; programming and simulation.
Recommended or Required Reading and Other Learning Resources/Tools
Suomen Robotiikkayhdistys. Robotiikka, Talentum.
Mode of Delivery / Planned Learning Activities and Teaching Methods
Lectures and exercises.
Assessment Criteria
5: The student is able to utilise the methods learnt during the study unit independently and is able apply the learnt knowledge in new contexts.
3: The student is able to utilise the methods learnt during the study unit independently.
1: The student is able, with guidance, to utilise the methods learnt during the study unit.
Assessment Methods
Examination, laboratory exercises.