Please note! Course description is confirmed for two academic years (1.8.2018-31.7.2020), which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.
1) can recognise mechatronic machines and analyse the fundamental functions of mechatronic machines: sensing, actuation, and control (should be already achieved and pre-exam is to check it).
2) can analyse the prevailing physics in common mechatronic machines including rigid-body mechanical systems, basic electrical systems, power transmission, and control.
3) can design and realise control systems for mechatronic machines.
4) can work in a team carrying out design and numerical simulations of a mechatronic machine.
5) can evaluate scientific publications on a selected mechatronic system
6) can report and present functionalities of the selected mechatronic machine.
Schedule: 12.01.2021 - 16.02.2021
Teacher in charge (valid 01.08.2020-31.07.2022): Kari Tammi, Kari Tammi
Teacher in charge (applies in this implementation): Kari Tammi, Kari Tammi
Contact information for the course (applies in this implementation):
CEFR level (applies in this implementation):
Language of instruction and studies (valid 01.08.2020-31.07.2022):
Teaching language: English
Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Week) Lecture and Exercise, Remarks
1) Introduction to the course and background of mechatronics, mechatronic machine design process, learning / re-cap of Matlab
2) Laplace transform, transfer function, impulse and step responses, basics dynamic models, preliminary exam deadline
3) Operational amplifier circuits, AD & DA conversion, Bode diagram, the release of project work
4) Common control topologies, PID controller, control applications, laboratory exercise 1
5) Mechatronic machine design with a case example, Visiting lecturer, laboratory exercise 2
6) Summary of the course, students reflections: what we learnt, mutual feedback, project work deadline
7) Project work wrap up /gala
Assessment Methods and Criteria
Preliminary exam: pass/fail
1) Grade from lecture quiz: weight 20 %
2) Grade from exercises including lab exercises: weight 50 %
3) Grade from project work: weight 30 %
To pass the course: a) pass the preliminary exam, and b) collect min 50 % of the points in 1, 2, and 3.
The final grade is the sum of the points collected in 1, 2, and 3 (the points are scaled according to the weights given above)
Learning activity: Workload calculation (hours), Remarks
- Lectures: 6x2, First/second lecture has the preliminary exam
- Directed computer exercises: 5x1,5, Matlab exercises, contact teaching
- Lab. exercises: 1-2x3, Practical exercises, one lab. ex. in minimum
- Home assignments: 5x10, Based on contact teaching exercises
- Group work (project work ): 30, 1-2 person/group
- Learning portfolio (learning diary..): 6x0,5, Quiz after lectures
- Preliminary exam: 10, Test on the prepared material ~20 pages
- Wrap up (project gala): 3
Material prepared for the preliminary exam, lecture notes, scientific articles. Supporting book: Mechatronics in action: case studies in mechatronics: applications and education by David Bradley, David W. Russell.
Substitutes for Courses
Kon-41.4151 Mechatronics Machine System Design, 4 (cr)
The course has no prerequisites. A multidisciplinary background gives a solid foundation for the course. Strongly recommended courses are:
- KON-C2004 Mechatronics Basics 5 cr
- ELEC-C1230 Säätötekniikka 5 op
- CSE-A1141 Tietorakenteet ja algoritmit Y, 5 op
- ELEC-C1320 Robotics 5 cr
SDG: Sustainable Development Goals
9 Industry, Innovation and Infrastructure
12 Responsible Production and Consumption
- Teacher: Kari Tammi