Industrial Robotics (3 cr)
Code: TSAR0530-3003
General information
- Enrollment
-
01.08.2023 - 24.08.2023
Registration for the implementation has ended.
- Timing
-
18.09.2023 - 19.12.2023
Implementation has ended.
- Number of ECTS credits allocated
- 3 cr
- Local portion
- 0 cr
- Virtual portion
- 3 cr
- 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)
- Course
- TSAR0530
Evaluation scale
0-5
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
Materials
Materials in the e-learning environment.
Teaching methods
- independent study
- distance learning and remote lectures
- webinars
- small group learning
- learning tasks
Exam schedules
The possible date and method of the exam will be announced in the course opening.
Completion alternatives
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
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.
Qualifications
Fundamentals in technology, programming skills
Further information
The evaluation is based on the qualitative evaluation of the exam and exercises/assignments.