Degree Programme in Autonomous Maritime Operations

Academic year 2020 - 2021

Artificial Intelligence, Machine Learning, Human - Machine Interaction AMO18AI01-3004 11.02.2021-31.03.2021 5 credits (AMO20H-Å) +-
Competence objectives of the study unit

The Student

- has an basic understanding of AI and the history of AI.
- has knowledge of where AI is used and its development today.
- has an basic understanding of different machine learning algorithms and their future possibilities
- can recognize different inputs used in AI and machine learning
- recognises the possibilities to get information and data from different systems and how Human - Machine Interaction is adapted in autonomous vessels

Prerequisites

No prerequisites.

Content of the study unit

- Administrative matters
- Computational thinking and algoritms - What is computing? Algorithms and complexity
- Introduction to AI and Autonomy - What is AI? How do you define Autonomy?
- Agents and Search - How to solve problems with “Good old-fashioned AI”
- Introduction to Machine Learning - Overview of ML, Risks and Problems with ML
- Supervised learning - Basic supervised learning through regression
- Machine vision - Deep neural networks, Image segmentation, Image detection, Image recognition
- Reinforcement learning - Reinforcement learning as search, Autonomy and reinforcement learning
- Industrial Internet - What is IoT? What is a Digital Twin?
- Sensors and Sensor fusion - Situational awareness, LIDAR, IR, GNSS and IMU’s
- Autonomy and Safety - Software safety, Liability, Accountability

Assessment criteria

Assessment criteria – satisfactory (1-2)

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 (3-4)

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.

Person(s) in charge

Thomas Finne

Mode of delivery

Face-to-face

Learning material

Materials and links on VLE

Learning methods

Lectures and exercises in the classroom and project based learning.

Objects, timing and methods of assessment

Based on project results and presentations

Teaching language

English

Timing

11.02.2021 - 31.03.2021

Enrollment date range

01.08.2020 - 10.02.2021
- 5 credits
Group(s)
- AMO20H-Å
Seats

1 - 30

Teachers and responsibilities

Kim Roos, Thomas Finne

Responsible unit

ÅboRaseborg (not translated)

Degree Programme(s)

Degree Programme in Autonomous Maritime Operations

Campus

Åbo, Hertig Johans parkgata 21

Assessment scale

H-5

Student's schedule and workload

135 h

Content scheduling

11-12.2.2021 Theory and exercises (Aboa Mare)
13.2.-16.3.2021 Self studies and project studies & Video meetings
17-18.3.2021 Presentation of results from projects/tasks (Aboa Mare)

Assessment criteria

Assessment criteria – satisfactory (1-2)

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 (3-4)

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.

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.
Autonomous vessels - automation AMO18AV01-3004 19.11.2020-28.02.2021 5 credits (AMO20H-Å) +-
Competence objectives of the study unit

The Student:

- has an overall picture about automation and control, what is automated today and what developments are likely or possible in the future.
- can recognize what technology and different solutions is needed for autonomous vessels.
- can recognize what new risks the autonomous vessels will face and how they can be mitigated.

Prerequisites

No prerequisites.

Content of the study unit

Control Engineering: Dynamical systems, Transfer functions, Feedback control
Autopilot
Sensors and sensor processing
Digital solutions and services
Calculations: Overshoot, damping, stability, controller parameters using different methods etc
Control simulations with Matlab/Simulink

Assessment criteria

Assessment criteria – satisfactory (1-2)

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 (3-4)

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.

Person(s) in charge

Thomas Finne

Mode of delivery

40% Face-to-face, 60% Distance learning

Learning material

More information on Moodle

Learning methods

Lectures
Calculation exercises
Simulations
Group work

Objects, timing and methods of assessment

Approved home assignments and passed on-line examinations

Teaching language

English

Timing

19.11.2020 - 28.02.2021

Enrollment date range

01.08.2020 - 18.11.2020
- 5 credits
Group(s)
- AMO20H-Å
Teachers and responsibilities

Katarina Sandström

Responsible unit

ÅboRaseborg (not translated)

Degree Programme(s)

Degree Programme in Autonomous Maritime Operations

Campus

Åbo, Hertig Johans parkgata 21

Share of online studies

3 credits

Assessment scale

H-5

Exam dates and retake possibilities

Examination dates will be determined on the first contact day

Student's schedule and workload

Contact days 35h
Literature reading 50h
Home assignments 30h
Calculations 20h

Content scheduling

Control Engineering: Dynamical systems, Transfer functions, Feedback control
Autopilot
Sensors and sensor processing
Digital solutions and services
Calculations: Overshoot, damping, stability, controller parameters using different methods etc
Control simulations with Matlab/Simulink

Assessment criteria

Theory and methodology are very poorly understood and implemented in Autonomous Maritime Operation related tasks/ assignments.
Research, communication and documentation are poor.
Not active participation.

Assessment criteria – satisfactory (1-2)

Theory and methodology are basically understood and implemented in Autonomous Maritime Operation related tasks/ assignments.
Research, communication and documentation barely acceptable.
Active participation.

Assessment criteria – good (3-4)

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.

Assessment criteria – excellent (5)

Mastery of theory and methods, proficiency of implementation of them in Autonomous Maritime Operation related tasks/ assignments.
Outstanding research, innovative solutions and excellent communication and documentation.
Very active participation.
Cyber security and Connectivity AMO18CS01-3003 01.10.2020-15.01.2021 5 credits (AMO20H-Å) +-
Competence objectives of the study unit

The student
- understand 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.

Prerequisites

No prerequisites.

Content of the study unit

- 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.

Assessment criteria

Assessment criteria – satisfactory (1-2)

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 (3-4)

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

Person(s) in charge

Thomas Finne

Mode of delivery

Face-to-face

Learning methods

Lectures,
Discussions in teams about cases,
Literature studies,
If possible,visiting the Maritime fair in AboaMare.
Guest lectures,
and finally the Home exams; two assignments-one individual Key-learning note and one team assignment (report) including the oral presentation.

Teaching language

English

Timing

01.10.2020 - 15.01.2021

Enrollment date range

01.08.2020 - 30.09.2020
- 5 credits
Group(s)
- AMO20H-Å
Teachers and responsibilities

Thomas Finne

Additional 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 autonomus vessels.

Responsible unit

ÅboRaseborg (not translated)

Degree Programme(s)

Degree Programme in Autonomous Maritime Operations

Campus

Åbo, Hertig Johans parkgata 21

Assessment scale

H-5

Alternative methods of attainment for implementation

The course is carried out in two ways: A digital one or a class-room based one.

Student's schedule and workload

To be gone through at the beginning of the first session.
Introduction to Marine Operations AMO18MI03-3003 11.09.2020-30.10.2020 2.5 credits (AMO20H-Å) +-
Competence objectives of the study unit

The student:

- understands maritime operations, and how Autonomous vessels and the fourth revolution of shipping will affect maritime operations including new business models in shipping.
- can recognize maritime legislation and legal perspectives for autonomous vessels.

Prerequisites

No prerequisites.

Content of the study unit

To give an understanding about maritime operations today
To give an understanding how autonomous vessels and the forth revolution in maritime will change the business models in the future.
To recognize maritime legislation and legal perspectives for autonomous vessels.

Assessment criteria

Assessment criteria – satisfactory (1-2)

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/ assignements. Research, communication and documentation are acceptable.
Active participation.

Assessment criteria – good (3-4)

Good 3
Understanding of theory and applicability of methods in Autonomous Maritime Operation related tasks/ assignements, 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/ assignements.
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/ assignements.
Outstanding research, innovative service design and excellent communication and documentation.
Very active participation

Person(s) in charge

Timo Virtanen

Mode of delivery

Face-to-face

Teaching language

English

Timing

11.09.2020 - 30.10.2020

Enrollment date range

01.08.2020 - 30.09.2020
- 2.5 credits
Group(s)
- AMO20H-Å
Teachers and responsibilities

Thomas Finne

Responsible unit

ÅboRaseborg (not translated)

Degree Programme(s)

Degree Programme in Autonomous Maritime Operations

Campus

Åbo, Hertig Johans parkgata 21

Assessment scale

H-5
Master's Thesis - Part 1 AMO18MT01-3003 01.08.2020-31.07.2021 10 credits (AMO20H-Å) +-
Competence objectives of the study unit

Master´s Thesis 1

The student
- can plan and develop a suitable objective and research project
- can choose a suitable method for the project
- has written a description of the research problem following principles in academic writing
- can present the thesis project
- is able to revise the project after receiving feedback.

Prerequisites

No prerequisites.

Content of the study unit

- to plan and develop a suitable objective and research project
- to choose a suitable method for the project
- to write a description of the research problem following principles in academic writing
- presenting the thesis project
- to revise the project after receiving feedback.

Assessment criteria

Assessment criteria – satisfactory (1-2)

No prerequisites.

Person(s) in charge

Thomas Finne

Mode of delivery

Face-to-face

Teaching language

English

Timing

01.08.2020 - 31.07.2021

Enrollment date range

01.08.2020 - 31.07.2021
- 10 credits
Group(s)
- AMO20H-Å
Teachers and responsibilities

Thomas Finne

Responsible unit

ÅboRaseborg (not translated)

Degree Programme(s)

Degree Programme in Autonomous Maritime Operations

Campus

Åbo, Hertig Johans parkgata 21

Assessment scale

H-5
Research and Research Methods AMO18MI02-3003 10.09.2020-16.11.2020 1.5 credits (AMO20H-Å) +-
Competence objectives of the study unit

The aim of the course is to give the student the tools for choosing a suitable method for the master's thesis.

The student:
- has a deeper understanding about what research is, how it can be done, what it is used for, etc.
- knows the importance of formulating research problems
- knows how to write a research plan
- is familiar with different research methods, emphasizing methods suitable for the industry

Prerequisites

No prerequisites.

Content of the study unit

To learn what a research is, how it can be done, what it is used for.
How to formulate research problems
How to write a research plan
To learn the different research methods, emphasizing methods suitable for the industry

Assessment criteria

Assessment criteria – satisfactory (1-2)

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/ assignements. Research, communication and documentation are acceptable.
Active participation.

Assessment criteria – good (3-4)

Good 3
Understanding of theory and applicability of methods in Autonomous Maritime Operation related tasks/ assignements, 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/ assignements.
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/ assignements.
Outstanding research, innovative service design and excellent communication and documentation.
Very active participation.

Person(s) in charge

Thomas Finne

Mode of delivery

Face-to-face

Learning material

Materials handed out by the lecturers

Materials in Moodle

Learning methods

Lectures
Discussions
Going through of guidelines for the thesis writing

Teaching language

English

Timing

10.09.2020 - 16.11.2020

Enrollment date range

01.08.2020 - 30.09.2020
- 1.5 credits
Group(s)
- AMO20H-Å
Teachers and responsibilities

Katarina Sandström, Thomas Finne

Responsible unit

ÅboRaseborg (not translated)

Degree Programme(s)

Degree Programme in Autonomous Maritime Operations

Campus

Åbo, Hertig Johans parkgata 21

Assessment scale

Approved/Rejected

Student's schedule and workload

1,5 ECTS

Assessment criteria

Approved / Failed

The assignment in Moodle approved.
Fail = not passed
Studying in the Master´s Program AMO18MI01-3005 10.09.2020-16.11.2020 1 credits (AMO20H-Å) +-
Competence objectives of the study unit

The aim of the introduction is the ensure that the student is able to successfully work with the studies.

The student:
- is able to use the e-learning platform
- is aware of the characteristics of distance studies
- knows how to submit materials
- knows the principles of academic writing and referencing
- is familiar with different tools for communicating lecturers

Prerequisites

No prerequisites.

Content of the study unit

How to use the e-learning platforms
How to manage distance studies
How to submit materials
Learn the principles in academic writing and referencing
To use different tools for communicating lectures

Assessment criteria

Assessment criteria – satisfactory (1-2)

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 (3-4)

Good 3
Understanding of theory and applicability of methods in Autonomous Maritime Operation related tasks/ assignements, 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/ assignements.
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/ assignements.
Outstanding research, innovative service design and excellent communication and documentation.
Very active participation.

Person(s) in charge

Thomas Finne

Mode of delivery

Face-to-face

Teaching language

English

Timing

10.09.2020 - 16.11.2020

Enrollment date range

01.08.2020 - 20.10.2020
- 1 credits
Group(s)
- AMO20H-Å
Teachers and responsibilities

Thomas Finne

Responsible unit

ÅboRaseborg (not translated)

Degree Programme(s)

Degree Programme in Autonomous Maritime Operations

Campus

Åbo, Hertig Johans parkgata 21

Assessment scale

Approved/Rejected

Academic year 2021 - 2022

There is no implementations attached to this degree programme.

Degree Programme in Autonomous Maritime Operations
Master of Engineering, 60 ECTS

Master of Engineering

Academic year 2020 - 2021

Academic year 2021 - 2022

Degree Programme in Autonomous Maritime OperationsMaster of Engineering, 60 ECTS

Master of Engineering

Academic year 2020 - 2021

Academic year 2021 - 2022

Degree Programme in Autonomous Maritime Operations
Master of Engineering, 60 ECTS