Automation Networks and Cyber Security (5 cr)
Code: YTGJ0400-3004
General information
- Enrollment
-
01.11.2024 - 09.01.2025
Registration for the implementation has ended.
- Timing
-
13.01.2025 - 31.05.2025
Implementation is running.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Face-to-face
- Unit
- School of Technology
- Campus
- Lutakko Campus
- Teaching languages
- Finnish
- Degree programmes
- Master's Degree Programme in Robotics
- Teachers
- Erno Vienonen
- Karo Saharinen
- Groups
-
YTG23S1Insinööri (ylempi AMK), robotiikka
- Course
- YTGJ0400
Evaluation scale
0-5
Objective
You know the general structure of automation networks and you recognize robots and robotics as part of it. You understand the importance of cybersecurity for automation and robotics security.
YTGSO: Robotics Application Skills
You understand the importance of data networks and cybersecurity in the application of robotics.
YAMOT: Learning and knowledge management skills
You will be able to search for and apply the latest information in the fields of data networks and cybersecurity.
Content
The content follows the structure of the Robot Security Framework (see more information field). At the same time, cybersecurity guidelines and practices at each level are reviewed.
Physical level
- Robot connection to the data transmission network and user interfaces
Network level
- Local area network design
- Data network segmentation
- Communication Security
Application Level
- Robot application level source code production
- Source code maintenance and vulnerability management
- Data collection and storage and data rights
Materials
Materials in the e-learning environment. Robot Security Framework. Finnish Cyber Security Strategy 2019.
Teaching methods
- (recorded) lectures
- independent study
- small group learning
- mandatory exercises
- elective assignments/labs
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 20 h
- exercises 60 h
- assignment/labs 25 h
- independent study 30 h
Total 135 h
Assessment criteria, satisfactory (1)
Sufficient 1: You know the basics of the structure and cyber security of automation networks.
Satisfactory 2: You are broadly familiar with the structure of automation networks and the importance of cybersecurity for automation and robotics. There are shortcomings in the perception of the whole.
Assessment criteria, good (3)
Good 3: You know the basic structure of automation networks and the structure of the robotics security framework. You will understand the role of cybersecurity in automation and robotics.
Very good 4: You master the structure of automation networks and the structure of the robotics security framework. You understand the role of cybersecurity as part of the automation and robotics.
Assessment criteria, excellent (5)
Excellent 5: You master the structure and importance of automation networks. You master the structure of the robotics safety framework and understand its significance and its connection to the wider whole. You understand and master the role of cybersecurity as part of automation and robotics.