Project workLaajuus (3 cr)
Code: KL25AB75000
Objective
Students will become familiar with various topics of interest concerning machine automation during a topic-related project. During the project, students will also learn about project management, finding appropriate information independently, and develop their problem-solving skills.
Content
Students may begin discussing their project with the co-ordinating lecturers during the Machine Automation I course. At this time, students should have some idea of the topic they wish to do the project on.
Qualifications
No previous studies are required.
Assessment criteria, satisfactory (1)
Student knows the basics of the course.
Assessment criteria, good (3)
Student knows the contents of the course well.
Assessment criteria, excellent (5)
Student knows the contents of the course well and can apply their knowledge in practice.
Materials
The literature varies according to the students' chosen project topic.
Enrollment
16.04.2022 - 07.09.2022
Timing
29.08.2022 - 18.12.2022
Credits
3 op
Teaching languages
- Finnish
Degree programmes
- Bachelor of Engineering, Automation Engineering
Teachers
- Niko Ristimäki
Student groups
-
AUTE20KA
Objective
Students will become familiar with various topics of interest concerning machine automation during a topic-related project. During the project, students will also learn about project management, finding appropriate information independently, and develop their problem-solving skills.
Content
Students may begin discussing their project with the co-ordinating lecturers during the Machine Automation I course. At this time, students should have some idea of the topic they wish to do the project on.
Materials
The literature varies according to the students' chosen project topic.
Teaching methods
Project work
Student workload
Total work load of the course:80 h (scheduled and autonomous studies).
Evaluation scale
1-5
Assessment criteria, satisfactory (1)
Student knows the basics of the course.
Assessment criteria, good (3)
Student knows the contents of the course well.
Assessment criteria, excellent (5)
Student knows the contents of the course well and can apply their knowledge in practice.
Assessment criteria, good (3)
Student knows the basics of the course.
Assessment criteria, excellent (5)
Student knows the contents of the course well.
Assessment criteria, approved/failed
Student knows the contents of the course well and can apply their knowledge in practice.
Qualifications
No previous studies are required.