Fundamentals of Automation and Mechatronics Engineering

This course aims at levelling out differences in student backgrounds by creating a supportive learning environment that addresses varying levels of preparedness among students.

Examples of topics from various fields are provided below:

Mechatronics

• Sensors, data processing, and actuators
• Microcontrollers, microcomputers, and embedded systems
• Robot systems and architectures

Mechanical Engineering

• Materials and solid mechanics
• Machine parts and mechanisms
• CAD, CAM, and CAE

Computer Engineering

• Procedural and/or object-oriented programming
• Data analysis
• Machine learning

Automation

• Systems and control
• Industrial control systems and PLCs
• Signals and communication

Other topics may also be possible. More details, including a list of selected topics, will be provided at the start of the semester.

Competence

Upon completion of the course, the candidate can

• learn about and use theory, methods, and digital tools in the context of automation and mechatronics engineering

Knowledge and skills

Upon completion of the course, the candidate can

• explain the essence of automation and mechatronics engineering
• explain and compare theory, functionality, strengths and weaknesses of methods presented in the course
• demonstrate use of the methods in practice by means of physical prototypes, simulation, or digital tools

Learning activities generally include a mix of lectures, tutorials and practical lab/project work. A constructivist approach for learning is endorsed, with focus on problem solving and practical application of theory.