Please note! Course description is confirmed for two academic years, 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.

LEARNING OUTCOMES


The student
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.

Credits: 5

Schedule: 10.01.2023 - 14.02.2023

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Kari Tammi

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • valid for whole curriculum period:

    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
  • valid for whole curriculum period:

    Preliminary exam: pass/fail
    1) Grade from lecture quiz: weight about 20 %
    2) Grade from exercises including lab exercises: weight about 50 %
    3) Grade from project work: weight abput 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)

Workload
  • valid for whole curriculum period:

    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

DETAILS

Substitutes for Courses
Prerequisites
SDG: Sustainable Development Goals

    9 Industry, Innovation and Infrastructure

    12 Responsible Production and Consumption

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    Teaching Language : English

    Teaching Period : 2022-2023 Spring III
    2023-2024 Spring III

    Enrollment :

    Registration for courses will take place on Sisu (sisu.aalto.fi)