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Cyber Security and ConnectivityLaajuus (5 cr)

Code: AMO22CS01

Credits

5 op

Objective

The student
- understands risk management and information security.
- understands current main threats to cyber security and connectivity in shipping and autonomous vessels.
- has gained capabilities to mitigate risks in information security and cyber security.
- understands possibilities and limitations of connectivity for autonomus vessels.

Content

- risk management and information security.
- current main threats to cyber security and connectivity in shipping and autonomous vessels.
- how to mitigate risks in information security and cyber security. 
- possibilities and limitations of connectivity for autonomous vessels.

Qualifications

No prerequisites.

Assessment criteria, satisfactory (1)

Sufficient 1
Theory and methodology are poorly understood and implemented in Autonomous Maritime Operation related tasks/ assignments.
Research, communication and documentation are hardly acceptable.
Active participation.
Satisfactory 2
Appear to grasp theory and have made a start in showing its applicability in Autonomous Maritime Operation related tasks/ assignments. Research, communication and documentation are acceptable.
Active participation.

Assessment criteria, good (3)

Good 3
Understanding of theory and applicability of methods in Autonomous Maritime Operation related tasks/ assignments, but work could be stronger.
Research, service design, communication and documentation are good.
Active participation.
Very Good 4
General understanding of theory and methods, very good implementation in Autonomous Maritime Operation related tasks/ assignments.
Reliable research, innovative service design and communication and documentation on good level.
Very active participation.

Assessment criteria, excellent (5)

Excellent 5
Mastery of theory and methods, proficiency of implementation of them in Autonomous Maritime Operation related tasks/ assignments.
Outstanding research, innovative service design and excellent communication and documentation.
Very active participation

Materials

Study material will be provided by the lecturer.
The student finds necessary materials and references for assignments and group works.

Enrollment

15.06.2024 - 25.09.2024

Timing

26.09.2024 - 17.01.2025

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Faculty of Technology and Seafaring

Teaching languages
  • English
Degree programmes
  • Degree Programme in Autonomous Maritime Operations
Teachers
  • Thomas Finne
Groups
  • AMO24H-Å
    Autonomous Maritime Operations, 2024

Objective

The student
- understands risk management and information security.
- understands current main threats to cyber security and connectivity in shipping and autonomous vessels.
- has gained capabilities to mitigate risks in information security and cyber security.
- understands possibilities and limitations of connectivity for autonomus vessels.

Content

- risk management and information security.
- current main threats to cyber security and connectivity in shipping and autonomous vessels.
- how to mitigate risks in information security and cyber security. 
- possibilities and limitations of connectivity for autonomous vessels.

Materials

Study material will be provided by the lecturer.
The student finds necessary materials and references for assignments and group works.

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

Sufficient 1
Theory and methodology are poorly understood and implemented in Autonomous Maritime Operation related tasks/ assignments.
Research, communication and documentation are hardly acceptable.
Active participation.
Satisfactory 2
Appear to grasp theory and have made a start in showing its applicability in Autonomous Maritime Operation related tasks/ assignments. Research, communication and documentation are acceptable.
Active participation.

Assessment criteria, good (3)

Good 3
Understanding of theory and applicability of methods in Autonomous Maritime Operation related tasks/ assignments, but work could be stronger.
Research, service design, communication and documentation are good.
Active participation.
Very Good 4
General understanding of theory and methods, very good implementation in Autonomous Maritime Operation related tasks/ assignments.
Reliable research, innovative service design and communication and documentation on good level.
Very active participation.

Assessment criteria, excellent (5)

Excellent 5
Mastery of theory and methods, proficiency of implementation of them in Autonomous Maritime Operation related tasks/ assignments.
Outstanding research, innovative service design and excellent communication and documentation.
Very active participation

Qualifications

No prerequisites.

Enrollment

15.06.2023 - 27.09.2023

Timing

28.09.2023 - 31.01.2024

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Faculty of Technology and Seafaring

Teaching languages
  • English
Degree programmes
  • Degree Programme in Autonomous Maritime Operations
Teachers
  • Thomas Finne
Groups
  • AMO23HP-Å
    Autonomous Maritime Operations, Part-time studies, 2023

Objective

The student
- understands risk management and information security.
- understands current main threats to cyber security and connectivity in shipping and autonomous vessels.
- has gained capabilities to mitigate risks in information security and cyber security.
- understands possibilities and limitations of connectivity for autonomus vessels.

Content

- risk management and information security.
- current main threats to cyber security and connectivity in shipping and autonomous vessels.
- how to mitigate risks in information security and cyber security. 
- possibilities and limitations of connectivity for autonomous vessels.

Location and time

Preliminary structure:
Sept 28 (Kick-off, Lectures and training). Handing out the group cases,starting the work with the cases.

Sept 29th. Lectures and training. Guest lecture at approx 10.30AM.

November 30th: The Group presentations almost full-day ! At the late afternoon most probably master thesis presentation/s, and or research plan presentation. Check this.

December 1st: The remaining presentations. Continuation of KLN work.

Time & Place: At 9AM – approx 4PM. Lunch break and coffee breaks. Aud Soya, and thomas' webex address.

All the Presentations ! Has to be presented by minimum one team member. Presentations will be recorded, and shared with all course participants.

Materials

Materials and internetlinks handed out during the course.

Hazard analysis process for autonomous vessels. Source: see link in Moodle

Especially, the Group Reports ! But not the KLNs – that is an individual report

Teaching methods

Introductions,
Themes,
Discussions in teams,
Assignments gone through during the sessions, home work,
literature studies,
Guest lecture/s,
and finally the Home exams; two assignments-one individual and one team incl presentation.

Student workload

5 ECTS: 135 hours of work

Contact sessions: about 20 h
Literature & theory studies: about 55 h
The assignments: about 60 h

Further information

The student:
- understands risk management and information security.
- understands current main threats to cyber security and connectivity in shipping and autonomous vessels.
- has gained capabilities to mitigate risks in information security and cyber security.
- understands possibilities and limitations of connectivity for autonomous vessels.

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

Sufficient 1
Theory and methodology are poorly understood and implemented in Autonomous Maritime Operation related tasks/ assignments.
Research, communication and documentation are hardly acceptable.
Active participation.
Satisfactory 2
Appear to grasp theory and have made a start in showing its applicability in Autonomous Maritime Operation related tasks/ assignments. Research, communication and documentation are acceptable.
Active participation.

Assessment criteria, good (3)

Good 3
Understanding of theory and applicability of methods in Autonomous Maritime Operation related tasks/ assignments, but work could be stronger.
Research, service design, communication and documentation are good.
Active participation.
Very Good 4
General understanding of theory and methods, very good implementation in Autonomous Maritime Operation related tasks/ assignments.
Reliable research, innovative service design and communication and documentation on good level.
Very active participation.

Assessment criteria, excellent (5)

Excellent 5
Mastery of theory and methods, proficiency of implementation of them in Autonomous Maritime Operation related tasks/ assignments.
Outstanding research, innovative service design and excellent communication and documentation.
Very active participation

Assessment methods and criteria

Pls see 'Study Unit Information'

Qualifications

No prerequisites.

Enrollment

16.06.2022 - 28.09.2022

Timing

29.09.2022 - 16.01.2023

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Campus

Åbo, Hertig Johans parkgata 21

Teaching languages
  • English
Degree programmes
  • Degree Programme in Autonomous Maritime Operations
Teachers
  • Thomas Finne
Groups
  • AMO22HP-Å
    Autonomous Maritime Operations, Part-time studies, 2022

Objective

The student
- understands risk management and information security.
- understands current main threats to cyber security and connectivity in shipping and autonomous vessels.
- has gained capabilities to mitigate risks in information security and cyber security.
- understands possibilities and limitations of connectivity for autonomus vessels.

Content

- risk management and information security.
- current main threats to cyber security and connectivity in shipping and autonomous vessels.
- how to mitigate risks in information security and cyber security. 
- possibilities and limitations of connectivity for autonomous vessels.

Location and time

Sept 29 (Kick-off, Lectures and training). Handing out the group cases,starting the work with the cases.

Sept 30th. Lectures and training. Guest lecture at 10.15AM.

December 1st: The presentations almost full-day ! At the late afternoon most probably master thesis presentation/s, and or research paln presentation. Check this

December 2nd: The remaining presentations. Continuation of KLN work.

Time & Place: At 9AM – approx 4PM. Lunch break and coffee breaks.

All the Presentations ! Has to be presented by minimum one team member. Presentations will be recorded, and shared with all course participants.

Materials

Materials and internetlinks handed out during the course.

Hazard analysis process for autonomous vessels. Source: see link in Moodle

Especially, the Group Reports ! But not the KLNs – that is an individual report

Teaching methods

Introductions,
Themes,
Discussions in teams,
Assignments gone through during the sessions, home work,
literature studies,
Guest lectures,
and finally the Home exams; two assignments-one individual and one team incl presentation.

Student workload

5 ECTS: 135 hours of work

Contact sessions: about 25 h
Literature & theory studies: about 55 h
The assignments: about 55 h

Further information

The student:
- understands risk management and information security.
- understands current main threats to cyber security and connectivity in shipping and autonomous vessels.
- has gained capabilities to mitigate risks in information security and cyber security. 
- understands possibilities and limitations of connectivity for autonomous vessels.

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

Sufficient 1
Theory and methodology are poorly understood and implemented in Autonomous Maritime Operation related tasks/ assignments.
Research, communication and documentation are hardly acceptable.
Active participation.
Satisfactory 2
Appear to grasp theory and have made a start in showing its applicability in Autonomous Maritime Operation related tasks/ assignments. Research, communication and documentation are acceptable.
Active participation.

Assessment criteria, good (3)

Good 3
Understanding of theory and applicability of methods in Autonomous Maritime Operation related tasks/ assignments, but work could be stronger.
Research, service design, communication and documentation are good.
Active participation.
Very Good 4
General understanding of theory and methods, very good implementation in Autonomous Maritime Operation related tasks/ assignments.
Reliable research, innovative service design and communication and documentation on good level.
Very active participation.

Assessment criteria, excellent (5)

Excellent 5
Mastery of theory and methods, proficiency of implementation of them in Autonomous Maritime Operation related tasks/ assignments.
Outstanding research, innovative service design and excellent communication and documentation.
Very active participation

Assessment criteria, satisfactory (1-2)

Pls see 'Study Unit Information'

Qualifications

No prerequisites.