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Cyber Physical Systems (5 cr)

Code: TX00FL84-3001

General information


Enrollment
05.05.2025 - 31.05.2025
Registration for implementation has not started yet.
Timing
20.10.2025 - 14.12.2025
The implementation has not yet started.
Number of ECTS credits allocated
5 cr
Local portion
5 cr
Mode of delivery
On-campus
Unit
(2019-2024) School of Smart and Clean Solutions
Campus
Leiritie 1
Teaching languages
English
Degree programmes
Degree Programme in Smart Automation
Degree Programme in Electronics
Teachers
Tuan Nguyen
Groups
TXX24S1
Degree Programme in Smart Automation, päivä
SE24S
Elektroniikan pääaine,syksyllä 2024 aloittaneet
TXD24S1
Degree Programme in Electronics päivä
Course
TX00FL84
No reservations found for implementation TX00FL84-3001!

Objective

After completion of the course, the student
• is able to identify and describe the key components and mechanisms used in robotic systems
• has competence in designing simple robot structures
• is able to program robot control systems using relevant programming languages and to process sensor data for robot perception and decision-making
• has practical experience in programming and debugging embedded systems for real-time applications
• is familiar with autonomous systems in robotics and understands ethical and safety considerations in developing autonomous systems.

Content

• Robot components and mechanisms
• Robot control and programming
• Sensors and perception
• Introduction to embedded systems and real-time computing
• Introduction to autonomous systems

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

The student
• has achieved the objectives of the course to a satisfactory level
• is able to identify, define and use concepts and models in the subject area of the course
• understands the conditions and principles of the development of expertise
• has completed the learning tasks required for the course to the minimum standard
• has developed their competences in such a way that they will be able to complete their future professional studies and eventually work in the field.

Assessment criteria, good (3)

The student
• has achieved the objectives of the course well, although there are still areas where knowledge and skills need to be improved
• has completed the learning tasks of the course at a satisfactory or good level
• has a good understanding of the concepts and models of the subject matter of the course and is able to carry out a reasoned analysis
• is able to apply what they have learned in learning and working situations
• understands the importance of expertise in the field and is able to analyse their own expertise.

Assessment criteria, excellent (5)

The student
• has achieved the objectives of the course with excellent marks
• has completed the learning tasks of the course at a good or excellent level
• has an excellent command of the concepts and models of the subject matter of the course
• is able to analyse clearly and reasonably and propose practical development measures
• has a good ability to apply what they have learned in learning and working situations
• is able to analyse their expertise in their field and their own development towards expertise.

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