Project WorkLaajuus (6 cr)
Code: A800CW26
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.
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.
Enrollment
22.04.2024 - 04.09.2024
Timing
26.08.2024 - 18.12.2024
Credits
3 - 6
Teaching languages
- Finnish
Degree programmes
- Bachelor of Engineering, Automation Engineering
Teachers
- Sami Rinta-Valkama
Student groups
-
AUTE22KADegree Programme in Automation Engineering, Full-time studies
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 methods and criteria
Exercises
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.
Enrollment
22.04.2024 - 04.09.2024
Timing
26.08.2024 - 18.12.2024
Credits
3 - 6
Teaching languages
- Finnish
Degree programmes
- Bachelor of Engineering, Automation Engineering
Teachers
- Juha Yli-Hemminki
Student groups
-
AUTE22SADegree Programme in Automation Engineering, Full-time studies
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 methods and criteria
Project work, final report and presentation evaluated
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.
Enrollment
17.04.2023 - 06.09.2023
Timing
28.08.2023 - 17.12.2023
Credits
3 - 6
Teaching languages
- Finnish
Degree programmes
- Bachelor of Engineering, Automation Engineering
Teachers
- Niko Ristimäki
Student groups
-
AUTE21KA
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.
Enrollment
17.04.2023 - 06.09.2023
Timing
21.08.2023 - 24.03.2024
Credits
3 - 6
Teaching languages
- Finnish
Degree programmes
- Bachelor of Engineering, Automation Engineering
Teachers
- Niko Ristimäki
Student groups
-
MAUTE21
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.