Siirry suoraan sisältöön

Basics of Robotics (3 cr)

Code: TSAR0510-3009

General information


Enrollment

01.08.2024 - 22.08.2024

Timing

01.08.2024 - 31.12.2024

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

  • TAR22S1
    Bachelor's Degree Programme in Automation and Robotics
  • 22.10.2024 09:00 - 10:30, Basics of Robotics TSAR0510-3009
  • 29.10.2024 09:00 - 10:30, Basics of Robotics TSAR0510-3009
  • 05.11.2024 09:00 - 10:30, Basics of Robotics TSAR0510-3009
  • 12.11.2024 09:00 - 10:30, Basics of Robotics TSAR0510-3009
  • 19.11.2024 09:00 - 10:30, Basics of Robotics TSAR0510-3009
  • 26.11.2024 09:00 - 10:30, Basics of Robotics TSAR0510-3009
  • 03.12.2024 09:00 - 10:30, Basics of Robotics TSAR0510-3009
  • 10.12.2024 09:00 - 10:30, Basics of Robotics TSAR0510-3009
  • 17.12.2024 09:00 - 10:30, Basics of Robotics TSAR0510-3009

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

Oppimateriaali ja suositeltava kirjallisuus

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.

Vaihtoehtoiset suoritustavat

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 18h
- exercises 15h
- independent study and assignments 48h
Total 81h

Further information

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

Evaluation scale

0-5

Arviointikriteerit, tyydyttävä (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.

Arviointikriteerit, hyvä (3-4)

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