Basics of Robotics (3 cr)
Code: TSAR0510-3006
General information
- Enrollment
-
20.11.2023 - 04.01.2024
Registration for the implementation has ended.
- Timing
-
17.01.2024 - 19.05.2024
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
-
TSA22KMASähkö- ja automaatiotekniikka (AMK)
-
TSA22KMSSähkö- ja automaatiotekniikka (AMK)
- Course
- TSAR0510
Realization has 3 reservations. Total duration of reservations is 6 h 0 min.
| Time | Topic | Location |
|---|---|---|
|
Tue 05.03.2024 time 16:00 - 18:00 (2 h 0 min) |
Robotiikan perusteet TSAR0510-3006 - Etäopetus |
Etäopetus
|
|
Wed 27.03.2024 time 16:00 - 18:00 (2 h 0 min) |
Robotiikan perusteet TSAR0510-3006 - Etäopetus |
Etäopetus
|
|
Wed 24.04.2024 time 16:00 - 18:00 (2 h 0 min) |
Robotiikan perusteet TSAR0510-3006 - Etäopetus |
Etäopetus
|
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.
- remote lectures 18h
- exercises 15h
- independent study and assignments 48h
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.