Industrial RoboticsLaajuus (3 cr)
Code: TSAR0530
Credits
3 op
Teaching language
- Finnish
Responsible person
- Juho Riekkinen
- Markku Ström
Objective
Main objective for this course is acquiring knowledge in industrial robotics. Studying in this course require knowledge in fundamentals of technology and programming skills. This course enables further studies of the subject in other courses.
EUR-ACE APPLYING TECHNOLOGY INTO PRACTICE
Student is familiar with the structures and applications of industrial robots as well as programming methods. Student is able to design a robot into part of production cell.
Content
Industrial robots, structures, applications
Designing robot cell
Programming robots
Qualifications
Fundamentals in technology, programming skills
Assessment criteria, satisfactory (1)
Sufficient (1): Student recognizes the basics and terminology, but has shortcomings in understanding the key issues.
Satisfactory (2): Student knows the basics and terminology, but has shortcomings in the application of key issues.
Assessment criteria, good (3)
Good (3): Student is able to apply the basics in practice.
Very good (4): Student knows the key subjects and is able to apply them in different implementations.
Assessment criteria, excellent (5)
Excellent (5): Student masters key subjects and is able to apply them creatively and innovatively.
Enrollment
01.11.2024 - 09.01.2025
Timing
01.01.2025 - 18.05.2025
Number of ECTS credits allocated
3 op
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Lutakko Campus
Teaching languages
- Finnish
Seats
20 - 35
Degree programmes
- Bachelor's Degree Programme in Electrical and Automation Engineering
Teachers
- Samppa Alanen
Groups
-
TSA22SSSähkö- ja automaatiotekniikka (AMK)
-
TSA22SASähkö- ja automaatiotekniikka (AMK)
Objectives
Main objective for this course is acquiring knowledge in industrial robotics. Studying in this course require knowledge in fundamentals of technology and programming skills. This course enables further studies of the subject in other courses.
EUR-ACE APPLYING TECHNOLOGY INTO PRACTICE
Student is familiar with the structures and applications of industrial robots as well as programming methods. Student is able to design a robot into part of production cell.
Content
Industrial robots, structures, applications
Designing robot cell
Programming robots
Learning materials and recommended literature
Materials in the e-learning environment.
Teaching methods
- independent study
- distance learning and remote lectures
- webinars
- small group learning
- learning tasks
Exam dates and retake possibilities
The possible date and method of the exam will be announced in the course opening.
Alternative completion methods
The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.
Student workload
One credit (1 Cr) corresponds to an average of 27 hours of work.
- remote lectures 15h
- assignments; group and independent study 66h
Total 81h
Further information for students
The evaluation is based on the qualitative evaluation of the exam and exercises/assignments.
Evaluation scale
0-5
Evaluation criteria, satisfactory (1-2)
Sufficient (1): Student recognizes the basics and terminology, but has shortcomings in understanding the key issues.
Satisfactory (2): Student knows the basics and terminology, but has shortcomings in the application of key issues.
Evaluation criteria, good (3-4)
Good (3): Student is able to apply the basics in practice.
Very good (4): Student knows the key subjects and is able to apply them in different implementations.
Evaluation criteria, excellent (5)
Excellent (5): Student masters key subjects and is able to apply them creatively and innovatively.
Prerequisites
Fundamentals in technology, programming skills
Enrollment
01.11.2024 - 09.01.2025
Timing
01.01.2025 - 18.05.2025
Number of ECTS credits allocated
3 op
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Lutakko Campus
Teaching languages
- English
Seats
20 - 35
Degree programmes
- Bachelor's Degree Programme in Electrical and Automation Engineering
Teachers
- Samppa Alanen
Groups
-
TAR22S1Bachelor's Degree Programme in Automation and Robotics
Objectives
Main objective for this course is acquiring knowledge in industrial robotics. Studying in this course require knowledge in fundamentals of technology and programming skills. This course enables further studies of the subject in other courses.
EUR-ACE APPLYING TECHNOLOGY INTO PRACTICE
Student is familiar with the structures and applications of industrial robots as well as programming methods. Student is able to design a robot into part of production cell.
Content
Industrial robots, structures, applications
Designing robot cell
Programming robots
Learning materials and recommended literature
Materials in the e-learning environment.
Teaching methods
- independent study
- distance learning and remote lectures
- webinars
- small group learning
- learning tasks
Exam dates and retake possibilities
The possible date and method of the exam will be announced in the course opening.
Alternative completion methods
The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.
Student workload
One credit (1 Cr) corresponds to an average of 27 hours of work.
- lectures 30h
- assignments; group and independent study 51h
Total 81h
Further information for students
The evaluation is based on the qualitative evaluation of the exam and exercises/assignments.
Evaluation scale
0-5
Evaluation criteria, satisfactory (1-2)
Sufficient (1): Student recognizes the basics and terminology, but has shortcomings in understanding the key issues.
Satisfactory (2): Student knows the basics and terminology, but has shortcomings in the application of key issues.
Evaluation criteria, good (3-4)
Good (3): Student is able to apply the basics in practice.
Very good (4): Student knows the key subjects and is able to apply them in different implementations.
Evaluation criteria, excellent (5)
Excellent (5): Student masters key subjects and is able to apply them creatively and innovatively.
Prerequisites
Fundamentals in technology, programming skills
Enrollment
01.08.2024 - 22.08.2024
Timing
01.08.2024 - 31.12.2024
Number of ECTS credits allocated
3 op
Virtual portion
2.5 op
Mode of delivery
17 % Face-to-face, 83 % Online learning
Unit
School of Technology
Campus
Main Campus
Teaching languages
- Finnish
Degree programmes
- Bachelor's Degree Programme in Electrical and Automation Engineering
Teachers
- Samppa Alanen
Groups
-
TSA22KMASähkö- ja automaatiotekniikka (AMK)
-
TSA22KMSSähkö- ja automaatiotekniikka (AMK)
Objectives
Main objective for this course is acquiring knowledge in industrial robotics. Studying in this course require knowledge in fundamentals of technology and programming skills. This course enables further studies of the subject in other courses.
EUR-ACE APPLYING TECHNOLOGY INTO PRACTICE
Student is familiar with the structures and applications of industrial robots as well as programming methods. Student is able to design a robot into part of production cell.
Content
Industrial robots, structures, applications
Designing robot cell
Programming robots
Learning materials and recommended literature
Materials in the e-learning environment.
Teaching methods
- independent study
- distance learning and remote lectures
- webinars
- small group learning
- learning tasks
Exam dates and retake possibilities
The possible date and method of the exam will be announced in the course opening.
Alternative completion methods
The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.
Student workload
One credit (1 Cr) corresponds to an average of 27 hours of work.
- remote lectures 15h
- assignments; group and independent study 66h
Total 81h
Further information for students
The evaluation is based on the qualitative evaluation of the exam and exercises/assignments.
Evaluation scale
0-5
Evaluation criteria, satisfactory (1-2)
Sufficient (1): Student recognizes the basics and terminology, but has shortcomings in understanding the key issues.
Satisfactory (2): Student knows the basics and terminology, but has shortcomings in the application of key issues.
Evaluation criteria, good (3-4)
Good (3): Student is able to apply the basics in practice.
Very good (4): Student knows the key subjects and is able to apply them in different implementations.
Evaluation criteria, excellent (5)
Excellent (5): Student masters key subjects and is able to apply them creatively and innovatively.
Prerequisites
Fundamentals in technology, programming skills
Enrollment
20.11.2023 - 04.01.2024
Timing
01.01.2024 - 05.05.2024
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Online learning
Unit
School of Technology
Campus
Main Campus
Teaching languages
- Finnish
Degree programmes
- Bachelor's Degree Programme in Electrical and Automation Engineering
Teachers
- Samppa Alanen
- Juho Riekkinen
Groups
-
TSA21SASähkö- ja automaatiotekniikka (AMK)
-
TSA21SBSähkö- ja automaatiotekniikka (AMK)
Objectives
Main objective for this course is acquiring knowledge in industrial robotics. Studying in this course require knowledge in fundamentals of technology and programming skills. This course enables further studies of the subject in other courses.
EUR-ACE APPLYING TECHNOLOGY INTO PRACTICE
Student is familiar with the structures and applications of industrial robots as well as programming methods. Student is able to design a robot into part of production cell.
Content
Industrial robots, structures, applications
Designing robot cell
Programming robots
Learning materials and recommended literature
Materials in the e-learning environment.
Teaching methods
- independent study
- distance learning and remote lectures
- webinars
- small group learning
- learning tasks
Exam dates and retake possibilities
The possible date and method of the exam will be announced in the course opening.
Alternative completion methods
The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.
Student workload
One credit (1 Cr) corresponds to an average of 27 hours of work.
- remote lectures 15h
- assignments; group and independent study 66h
Total 81h
Further information for students
The evaluation is based on the qualitative evaluation of the exam and exercises/assignments.
Evaluation scale
0-5
Evaluation criteria, satisfactory (1-2)
Sufficient (1): Student recognizes the basics and terminology, but has shortcomings in understanding the key issues.
Satisfactory (2): Student knows the basics and terminology, but has shortcomings in the application of key issues.
Evaluation criteria, good (3-4)
Good (3): Student is able to apply the basics in practice.
Very good (4): Student knows the key subjects and is able to apply them in different implementations.
Evaluation criteria, excellent (5)
Excellent (5): Student masters key subjects and is able to apply them creatively and innovatively.
Prerequisites
Fundamentals in technology, programming skills
Enrollment
01.08.2023 - 24.08.2023
Timing
18.09.2023 - 19.12.2023
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Online learning
Unit
School of Technology
Campus
Main Campus
Teaching languages
- Finnish
Seats
0 - 25
Degree programmes
- Bachelor's Degree Programme in Electrical and Automation Engineering
Teachers
- Samppa Alanen
- Juho Riekkinen
Groups
-
TSA21KMBSähkö- ja automaatiotekniikka (AMK)
-
TSA21KMASähkö- ja automaatiotekniikka (AMK)
Objectives
Main objective for this course is acquiring knowledge in industrial robotics. Studying in this course require knowledge in fundamentals of technology and programming skills. This course enables further studies of the subject in other courses.
EUR-ACE APPLYING TECHNOLOGY INTO PRACTICE
Student is familiar with the structures and applications of industrial robots as well as programming methods. Student is able to design a robot into part of production cell.
Content
Industrial robots, structures, applications
Designing robot cell
Programming robots
Learning materials and recommended literature
Materials in the e-learning environment.
Teaching methods
- independent study
- distance learning and remote lectures
- webinars
- small group learning
- learning tasks
Exam dates and retake possibilities
The possible date and method of the exam will be announced in the course opening.
Alternative completion methods
The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.
Student workload
One credit (1 Cr) corresponds to an average of 27 hours of work.
- remote lectures 15h
- assignments 60h
- independent study 33h
Total 108h
Further information for students
The evaluation is based on the qualitative evaluation of the exam and exercises/assignments.
Evaluation scale
0-5
Evaluation criteria, satisfactory (1-2)
Sufficient (1): Student recognizes the basics and terminology, but has shortcomings in understanding the key issues.
Satisfactory (2): Student knows the basics and terminology, but has shortcomings in the application of key issues.
Evaluation criteria, good (3-4)
Good (3): Student is able to apply the basics in practice.
Very good (4): Student knows the key subjects and is able to apply them in different implementations.
Evaluation criteria, excellent (5)
Excellent (5): Student masters key subjects and is able to apply them creatively and innovatively.
Prerequisites
Fundamentals in technology, programming skills
Enrollment
01.11.2022 - 05.01.2023
Timing
01.03.2023 - 21.05.2023
Number of ECTS credits allocated
3 op
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Main Campus
Teaching languages
- Finnish
Degree programmes
- Bachelor's Degree Programme in Electrical and Automation Engineering
Teachers
- Markku Ström
- Juho Riekkinen
Groups
-
TSA20SABachelor's Degree Programme in Electrical and Automation Engineering
-
TSA20SBBachelor's Degree Programme in Electrical and Automation Engineering
Objectives
Main objective for this course is acquiring knowledge in industrial robotics. Studying in this course require knowledge in fundamentals of technology and programming skills. This course enables further studies of the subject in other courses.
EUR-ACE APPLYING TECHNOLOGY INTO PRACTICE
Student is familiar with the structures and applications of industrial robots as well as programming methods. Student is able to design a robot into part of production cell.
Content
Industrial robots, structures, applications
Designing robot cell
Programming robots
Evaluation scale
0-5
Evaluation criteria, satisfactory (1-2)
Sufficient (1): Student recognizes the basics and terminology, but has shortcomings in understanding the key issues.
Satisfactory (2): Student knows the basics and terminology, but has shortcomings in the application of key issues.
Evaluation criteria, good (3-4)
Good (3): Student is able to apply the basics in practice.
Very good (4): Student knows the key subjects and is able to apply them in different implementations.
Evaluation criteria, excellent (5)
Excellent (5): Student masters key subjects and is able to apply them creatively and innovatively.
Prerequisites
Fundamentals in technology, programming skills