Robotics Applications (5 cr)
Code: YT00CD09-3001
General information
Enrollment
01.08.2024 - 31.08.2024
Timing
31.08.2024 - 20.12.2024
Number of ECTS credits allocated
5 op
Virtual portion
4 op
Mode of delivery
20 % Face-to-face, 80 % Online learning
Unit
School of Technology
Campus
Main Campus
Teaching languages
- English
Seats
0 - 30
Degree programmes
- Master's Degree Programme in Robotics
Teachers
- Samppa Alanen
- Markku Ström
- Olli Väänänen
Teacher in charge
Juho Riekkinen
Groups
-
YTP24S1Master's Degree Programme in Robotics
- 06.09.2024 14:00 - 16:00, Robotics Applications YT00CD09-3001
Objectives
You will get acquainted with the latest trends in robotics, applications and future prospects. This course allows for a more in-depth study of robotics in other courses.
You will recognize the application possibilities of robotics in different areas of society. You are familiar with the latest technical solutions in robotics and the limitations of applying robotics.
You know how to apply the latest information in the field of robotics and understand the importance of robotics as part of a larger whole.
You understand the importance of robotics now and in the future for working life.
Course Competences:
EUR-ACE: Engineering Analysis, Master's Degree
EUR-ACE: Engineering Design, Master's Degree
EUR-ACE: Investigations, Master's Degree
Content
Basics of robotics
Different forms of robotics
Collaboration Robotics
Mobile Robotics
Industrial Robotics
The senses of robots
Applications of robotics
Possibilities and future prospects of robotics
New technological solutions for robotics
The robot as part of a larger whole
Social impacts of robotics, effects on working life and management
Time and location
Teams, Rajakatu campus robotics laboratory DP72
Learning materials and recommended literature
The material can be found in the Moodle workspace
There are useful tutorial videos on the websites of Visual Components and Robot Studio
Teaching methods
Lectures, exercises and laboratory exercises
Alternative completion methods
No alternative methods of execution
Student workload
You need about 9 hours/week to complete the course
Further information for students
During the first three weeks, the first assignment must be returned or else you will be dropped from the course.
Lesson assignments must be returned to Moodle on time. Assignments are evaluated on a Pass/Fail scale.
Evaluation scale
Pass/Fail
Evaluation criteria, pass/failed
Pass: You know the basics of robotics and identify potential applications for robotics. You will recognize some of the new technological solutions in robotics. You understand the importance of robotics in modern society.