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Basics of Robotics (3 cr)

Code: TSAR0510-3013

General information


Enrollment
04.08.2025 - 21.08.2025
Registration for introductions has not started yet.
Timing
25.08.2025 - 19.12.2025
The implementation has not yet started.
Number of ECTS credits allocated
3 cr
Local portion
3 cr
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Lutakko Campus
Teaching languages
Finnish
Seats
20 - 30
Degree programmes
Bachelor's Degree Programme in Electrical and Automation Engineering
Teachers
Markku Ström
Groups
TSA23SS
Insinööri (AMK), sähkö- ja automaatiotekniikka, päivätoteutus
Course
TSAR0510
No reservations found for realization TSAR0510-3013!

Evaluation scale

0-5

Objective

Main objectives for this course are acquiring knowledge in fundamentals of robotics as well as application and hardware solutions. Studying in this course require knowledge in fundamentals of technology. This course enables further studies of the subject in other courses.

EUR-ACE KNOWLEDGE AND UNDERSTANDING
Student is familiar with basic robotics hardware solutions and programming environments in different fields of applications.

Content

Concepts and definitions in robotics
Robots in different fields of applications
Robot safety
Basic robot programming

Materials

Materials in the e-learning environment.

Teaching methods

- independent study
- distance learning
- webinars
- small group learning
- exercises
- 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.

- lectures 15h
- independent study and assignments 76h
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 recognizes a wide range of robotics and knows different structures and applications.

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.

Qualifications

Basic knowledge in the field of technology

Further information

The evaluation is based on the qualitative evaluation of the exam and exercises/assignments.

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