Skip to main content

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
TXX24S1
Degree Programme in Smart Automation, päivä
Course
TX00FM05

Implementation has 12 reservations. Total duration of reservations is 30 h 0 min.

Time Topic Location
Mon 20.10.2025 time 12:00 - 14:00
(2 h 0 min)
Smart Automation Project TX00FM05-3001
MMA104 Oppimistila
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
Changes to reservations may be possible.

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

Go back to top of page