Cyber Physical Systems (5 ECTS)
Code: TX00FL84-3001
General information
- Enrollment
- 05.05.2025 - 06.06.2025
- Registration for the implementation has ended.
- Timing
- 20.10.2025 - 14.12.2025
- The implementation has not yet started.
- Number of ECTS credits allocated
- 5 ECTS
- Mode of delivery
- On-campus
- Campus
- Leiritie 1
- Teaching languages
- English
- Degree programmes
- Degree Programme in Electronics
- Degree Programme in Smart Automation
- Teachers
- Tuan Nguyen
- Groups
-
TXX24S1Degree Programme in Smart Automation, päivä
-
SE24SElektroniikan pääaine,syksyllä 2024 aloittaneet
-
TXD24S1Degree Programme in Electronics päivä
-
SE24KElektroniikan pääaine, keväällä 2024 aloittaneet
- Course
- TX00FL84
Implementation has 24 reservations. Total duration of reservations is 72 h 0 min.
Time | Topic | Location |
---|---|---|
Mon 20.10.2025 time 08:00 - 11:00 (3 h 0 min) |
Cyber Physical Systems TX00FL84-3001 |
MMB235
Fysiikan Demolaboratorio
|
Wed 22.10.2025 time 08:00 - 11:00 (3 h 0 min) |
Cyber Physical Systems TX00FL84-3001 |
MMC342
Projektilaboratorio
|
Fri 24.10.2025 time 08:00 - 11:00 (3 h 0 min) |
Cyber Physical Systems TX00FL84-3001 |
MMC342
Projektilaboratorio
|
Mon 27.10.2025 time 08:00 - 11:00 (3 h 0 min) |
Cyber Physical Systems TX00FL84-3001 |
MMB235
Fysiikan Demolaboratorio
|
Wed 29.10.2025 time 08:00 - 11:00 (3 h 0 min) |
Cyber Physical Systems TX00FL84-3001 |
MMC342
Projektilaboratorio
|
Fri 31.10.2025 time 08:00 - 11:00 (3 h 0 min) |
Cyber Physical Systems TX00FL84-3001 |
MMC342
Projektilaboratorio
|
Mon 03.11.2025 time 08:00 - 11:00 (3 h 0 min) |
Cyber Physical Systems TX00FL84-3001 |
MMB235
Fysiikan Demolaboratorio
|
Wed 05.11.2025 time 08:00 - 11:00 (3 h 0 min) |
Cyber Physical Systems TX00FL84-3001 |
MMC342
Projektilaboratorio
|
Fri 07.11.2025 time 08:00 - 11:00 (3 h 0 min) |
Cyber Physical Systems TX00FL84-3001 |
MMC342
Projektilaboratorio
|
Mon 10.11.2025 time 08:00 - 11:00 (3 h 0 min) |
Cyber Physical Systems TX00FL84-3001 |
MMB235
Fysiikan Demolaboratorio
|
Wed 12.11.2025 time 08:00 - 11:00 (3 h 0 min) |
Cyber Physical Systems TX00FL84-3001 |
MMC342
Projektilaboratorio
|
Fri 14.11.2025 time 08:00 - 11:00 (3 h 0 min) |
Cyber Physical Systems TX00FL84-3001 |
MMC342
Projektilaboratorio
|
Mon 17.11.2025 time 08:00 - 11:00 (3 h 0 min) |
Cyber Physical Systems TX00FL84-3001 |
MMB235
Fysiikan Demolaboratorio
|
Wed 19.11.2025 time 08:00 - 11:00 (3 h 0 min) |
Cyber Physical Systems TX00FL84-3001 |
MMC342
Projektilaboratorio
|
Fri 21.11.2025 time 08:00 - 11:00 (3 h 0 min) |
Cyber Physical Systems TX00FL84-3001 |
MMC342
Projektilaboratorio
|
Mon 24.11.2025 time 08:00 - 11:00 (3 h 0 min) |
Cyber Physical Systems TX00FL84-3001 |
MMB235
Fysiikan Demolaboratorio
|
Wed 26.11.2025 time 08:00 - 11:00 (3 h 0 min) |
Cyber Physical Systems TX00FL84-3001 |
MMC342
Projektilaboratorio
|
Fri 28.11.2025 time 08:00 - 11:00 (3 h 0 min) |
Cyber Physical Systems TX00FL84-3001 |
MMC342
Projektilaboratorio
|
Mon 01.12.2025 time 08:00 - 11:00 (3 h 0 min) |
Cyber Physical Systems TX00FL84-3001 |
MMB235
Fysiikan Demolaboratorio
|
Wed 03.12.2025 time 08:00 - 11:00 (3 h 0 min) |
Cyber Physical Systems TX00FL84-3001 |
MMC342
Projektilaboratorio
|
Fri 05.12.2025 time 08:00 - 11:00 (3 h 0 min) |
Cyber Physical Systems TX00FL84-3001 |
MMC342
Projektilaboratorio
|
Mon 08.12.2025 time 08:00 - 11:00 (3 h 0 min) |
Cyber Physical Systems TX00FL84-3001 |
MMB235
Fysiikan Demolaboratorio
|
Wed 10.12.2025 time 08:00 - 11:00 (3 h 0 min) |
Cyber Physical Systems TX00FL84-3001 |
MMC342
Projektilaboratorio
|
Fri 12.12.2025 time 08:00 - 11:00 (3 h 0 min) |
Cyber Physical Systems TX00FL84-3001 |
MMC342
Projektilaboratorio
|
Learning outcomes
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.