Smart Automation Project (5 ECTS)
Code: TX00FM05-3001
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
- Unit
- (2019-2024) School of Smart and Clean Solutions
- Campus
- Leiritie 1
- Teaching languages
- English
- Degree programmes
- Degree Programme in Smart Automation
- Teachers
- Tuan Nguyen
- Matti Välikylä
- Erkki Räsänen
- Groups
-
TXX24S1Degree Programme in Smart Automation, päivä
- Course
- TX00FM05
Implementation has 12 reservations. Total duration of reservations is 30 h 0 min.
Time | Topic | Location |
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Mon 20.10.2025 time 12:00 - 14:00 (2 h 0 min) |
Smart Automation Project TX00FM05-3001 |
MMA104
Oppimistila
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Wed 22.10.2025 time 12:00 - 14:00 (2 h 0 min) |
Smart Automation Project TX00FM05-3001 |
MMA104
Oppimistila
|
Mon 27.10.2025 time 12:00 - 14:00 (2 h 0 min) |
Smart Automation Project TX00FM05-3001 |
MMA104
Oppimistila
|
Wed 29.10.2025 time 12:00 - 14:00 (2 h 0 min) |
Smart Automation Project TX00FM05-3001 |
MMA104
Oppimistila
|
Wed 05.11.2025 time 12:00 - 14:00 (2 h 0 min) |
Smart Automation Project TX00FM05-3001 |
MMA104
Oppimistila
|
Mon 10.11.2025 time 12:00 - 17:00 (5 h 0 min) |
Smart Automation Project TX00FM05-3001 |
MMA104
Oppimistila
|
Wed 12.11.2025 time 12:00 - 14:00 (2 h 0 min) |
Smart Automation Project TX00FM05-3001 |
MMA104
Oppimistila
|
Wed 19.11.2025 time 12:00 - 14:00 (2 h 0 min) |
Smart Automation Project TX00FM05-3001 |
MMA104
Oppimistila
|
Wed 26.11.2025 time 12:00 - 14:00 (2 h 0 min) |
Smart Automation Project TX00FM05-3001 |
MMA104
Oppimistila
|
Wed 03.12.2025 time 12:00 - 14:00 (2 h 0 min) |
Smart Automation Project TX00FM05-3001 |
MMA104
Oppimistila
|
Mon 08.12.2025 time 12:00 - 17:00 (5 h 0 min) |
Smart Automation Project TX00FM05-3001 |
MMA104
Oppimistila
|
Wed 10.12.2025 time 12:00 - 14:00 (2 h 0 min) |
Smart Automation Project TX00FM05-3001 |
MMA104
Oppimistila
|
Objective
Smart Automation project course combines theory with practical hands-on experience in designing, building, programming and testing PLC systems with cloud integration. After completing this course, the students are familiar with the practical design process of an intermediate complex automation system with cloud integration.
Additionally, the students know project management and version control as part of project documentation and management.
Content
• Practical PLC programming
• Sensor integration
• Project management
• Version control
• Cloud integration
Location and time
According to the schedule
Materials
Guidance for the materials is given at the beginning of each section of the course.
Teaching methods
Classroom and online sessions
Guided exercises
Individual assignments
Group project
More specific ways of working for each section will be explained in the opening round of each section
Exam schedules
No exams.
Completion alternatives
Own or a work related project can be accepted fully or partially if it aligns with the course objectives.
Student workload
Total of 135 hours of work resulting to 15-20 hours per week during the 8 week period.
Content scheduling
Incremental development of the project during the course period.
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 life 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 life situations
• is able to analyse expertise in their field and their own development towards expertise.
Assessment methods and criteria
The course follows continuous assessment principle.
The project process, related assignments, group work and final results are being monitored and evaluated in regular basis.
Qualifications
Introduction to Automation Technology and Measurement Technology or equivalent knowledge