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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
YTG23S1
Insinööri (ylempi AMK), robotiikka
Course
YTGJ0400
No reservations found for realization YTGJ0400-3004!

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.

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