Table of contents

The course is connected to the following study programs

Teaching language

English

Prerequisites

The students are expected have completed or be concurrently enrolled in two of the following elective courses from the third semester of the full-time master’s programme:

  • MAS418 - Programming for Intelligent Robotics and Industrial Systems
  • MAS509 - Biomechanical and Biomedical Instrumentation
  • MAS511 - Bio-Mechatronics
  • MAS512 - Computer Vision and Embedded AI
  • MAS514 - Introduction to Autonomous Robotics
  • MAS515 - Mechanical Systems 3

The content of the project will be based on the elective courses selected by the students. The project may also include students with diverse backgrounds from the theoretical courses to encourage interdisciplinary collaboration.

Recommended previous knowledge

MAS409, MAS410, MAS413, MAS414, MAS416, and MAS417, or equivalent

Learning outcomes

Upon successful completion, the student will be able to:

  • Analyze complex engineering tasks, articulate research problems, and define precise objectives, requirements, and constraints for a Mechatronics application encompassing mechanical systems, sensors, actuators, real-time control systems, and the operational environment.
  • Conduct literature reviews, adopt pertinent theoretical approaches, and apply appropriate methodologies to address advanced challenges in Mechatronics.
  • Collaborate efficiently in a team setting to plan and achieve project objectives.
  • Document project processes and results comprehensively and present findings coherently to both supervisors and peers.

Contents

The course aims to improve problem-solving skills in Mechatronics, setting a strong foundation for your master thesis project. You will apply theoretical knowledge from prior and ongoing courses to hands-on engineering tasks, either assigned or self-proposed (subject to approval and access to the necessary equipment). Project themes align with relevant research initiatives or real-world industry challenges, providing a blend of academic goals and practical relevance. Expect to dedicate around 200 hours to meet the course expectations.

Teaching and learning methods

Engage in group projects (1-3 students per group) under expert supervision, fostering collaboration, innovation, and real-world problem-solving.

Examination requirements

Active and constructive participation in project work is mandatory. The student’s individual contribution and teamwork are pivotal in achieving the project's objectives.

Examinations

The student’s performance will be assessed based on the experimental project work, the submitted documentation (inclusive of video material), and the quality of the oral presentation. Graded assessment, considering all these components. There will not be arranged a postponed exam for the project course.

Student evaluation

The course coordinator, in dialogue with student representatives, will determine the evaluation method, ensuring alignment with the Quality System (section 4.1). Specific evaluation details will be accessible on Canvas.

Offered as a free-standing course

No
Last updated from FS (Felles studentsystem) Oct. 15, 2026 2:32:58 PM