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Industrial Robotics (3 cr)

Code: TSAR0530-3004

General information


Enrollment
20.11.2023 - 04.01.2024
Registration for the implementation has ended.
Timing
01.01.2024 - 05.05.2024
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
Degree programmes
Bachelor's Degree Programme in Electrical and Automation Engineering
Teachers
Samppa Alanen
Juho Riekkinen
Groups
TSA21SA
Sähkö- ja automaatiotekniikka (AMK)
TSA21SB
Sähkö- ja automaatiotekniikka (AMK)
Course
TSAR0530

Realization has 9 reservations. Total duration of reservations is 18 h 0 min.

Time Topic Location
Wed 06.03.2024 time 08:00 - 10:00
(2 h 0 min)
Teollisuusrobotiikka TSAR0530-3004 - Etäopetus
Etäopetus
Wed 13.03.2024 time 08:00 - 10:00
(2 h 0 min)
Teollisuusrobotiikka TSAR0530-3004 - Etäopetus
Etäopetus
Wed 20.03.2024 time 08:00 - 10:00
(2 h 0 min)
Teollisuusrobotiikka TSAR0530-3004
R35BP06 IT-tila
Wed 27.03.2024 time 08:00 - 10:00
(2 h 0 min)
Teollisuusrobotiikka TSAR0530-3004 - Etäopetus
Etäopetus
Wed 03.04.2024 time 08:00 - 10:00
(2 h 0 min)
Teollisuusrobotiikka TSAR0530-3004
Itsenäistä opiskelua
Wed 10.04.2024 time 08:00 - 10:00
(2 h 0 min)
Teollisuusrobotiikka TSAR0530-3004 - Etäopetus
Tentti
Wed 17.04.2024 time 08:00 - 10:00
(2 h 0 min)
Teollisuusrobotiikka TSAR0530-3004 - Etäopetus
Etäopetus
Wed 24.04.2024 time 08:00 - 10:00
(2 h 0 min)
Teollisuusrobotiikka TSAR0530-3004 - Etäopetus
Etäopetus
Tue 30.04.2024 time 08:00 - 10:00
(2 h 0 min)
Teollisuusrobotiikka TSAR0530-3004 - Etäopetus
Etäopetus
Changes to reservations may be possible.

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; group and independent study 66h
Total 81h

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.

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