Siirry suoraan sisältöön

Automaation tietoverkot ja kyberturvallisuus (5 cr)

Code: YTGJ0400-3002

General information


Enrollment

01.08.2022 - 01.09.2022

Timing

01.09.2022 - 21.12.2022

Number of ECTS credits allocated

5 op

Virtual portion

5 op

Mode of delivery

Online learning

Unit

Teknologiayksikkö

Campus

Pääkampus

Teaching languages

  • Finnish

Seats

0 - 30

Degree programmes

  • Robotiikka (YAMK)

Teachers

  • Jarmo Nevala
  • Heli Ciszek

Teacher in charge

Heli Ciszek

Groups

  • YTG21S1
    Insinööri (ylempi AMK), robotiikka

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

Oppimateriaali ja suositeltava kirjallisuus

Materials in the e-learning environment.

Teaching methods

- lectures
- independent study
- distance learning
- webinars
- small group learning
- exercises
- learning tasks
- seminars

Employer connections

- visiting lecturers

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 52 h
- exercises 15 h
- assignment 35 h
- independent study 30 h
- company visits 3 h
Total 135 h

Evaluation scale

0-5

Arviointikriteerit, tyydyttävä (1-2)

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.

Arviointikriteerit, hyvä (3-4)

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.

Further information

Robot Security Framework (RSF) https://arxiv.org/pdf/1806.04042.pdf