Automation Systems
| Structure Type: | Study unit |
|---|---|
| Code: | IKTS2213 |
| Curriculum: | KT 2022 |
| Level: | Bachelor of Engineering |
| Year of Study: | 3 (2024-2025) |
| Semester: | Spring |
| Credits: | 5 cr |
| Responsible Teacher: | Rantasalo, Marko |
| Language of Instruction: | Finnish |
Courses During the Academic Year 2024-2025
| Impl. | Group(s) | Study Time | Teacher(s) | Language | Enrolment |
|---|---|---|---|---|---|
| 3004 | KT2022-3A, KT2022-3C | 2025-01-07 – 2025-04-30 | Juho Pölönen | Finnish | 2024-12-01 – 2025-01-13 |
Learning Outcomes
The student knows the structure of large-scale automation systems and their implementations from the point of view of energy industry as well as other industry and facilities using efficient, large-scale automation systems.
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
IKA0608 Machine Automation 2
Contents
The knowledge of logics is deepened in the course, e.g. through efficient logic systems and processing of analogue signals. Smart sensors used in logic controls and control and automation entities are also looked into, e.g. via form of servo- and proportional systems.
Recommended or Required Reading and Other Learning Resources/Tools
Material provided by the teacher.
Mode of Delivery / Planned Learning Activities and Teaching Methods
Lectures, asignment, laboratory 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
Exam and assessed exercises.