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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
  • Aute Nimeämätön
Student groups
  • AUTE22KA
    Degree 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
  • AUTE22SA
    Degree 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.