Degree Programme in Autonomous Maritime Operations

Academic year 2021 - 2022

Artificial Intelligence, Machine Learning, Human - Machine Interaction AMO18AI01-3005 10.02.2022-30.04.2022 5 credits (AMO21HP-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

Teaching language

English

Timing

10.02.2022 - 30.04.2022

Enrollment date range

15.11.2021 - 31.03.2022
- 5 credits
Group(s)
- AMO21HP-Å
Teachers and responsibilities

Johan Westö

Responsible unit

Faculty of Technology and Seafaring

Degree Programme(s)

Degree Programme in Autonomous Maritime Operations

Campus

Åbo, Hertig Johans parkgata 21

Assessment scale

H-5
Autonomous vessels - automation AMO18AV01-3005 18.11.2021-18.02.2022 5 credits (AMO21HP-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

Face-to-face

Teaching language

English

Timing

18.11.2021 - 18.02.2022

Enrollment date range

11.06.2021 - 17.11.2021
- 5 credits
Group(s)
- AMO21HP-Å
Teachers and responsibilities

Katarina Sandström

Responsible unit

Faculty of Technology and Seafaring

Degree Programme(s)

Degree Programme in Autonomous Maritime Operations

Campus

Åbo, Hertig Johans parkgata 21

Assessment scale

H-5
Classification, qualification and safety perspectives AMO18CQ01-3003 04.11.2021-26.12.2021 5 credits (AMO20H-Å) +-
Competence objectives of the study unit

The student

- is familiar with classification processes and requirements developed by national and international maritime authorities of autonomous vessels.
- has an overall picture of safety and security on autonomous vessels including risk assessment. processes and risk handling.
- understands the role & responsibilities of ship masters / operators and ship owners.

Prerequisites

No prerequisites.

Content of the study unit

-Requirements developed by national and international maritime authorities of autonomous vessels.
-The role of classification societies.
-Safety and security on autonomous vessels including risk assessment, processes and risk handling.
-The role & responsibilities of ship masters / operators and ship owners.
-Simulator exercise including risk assessment.

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

Ahti Hyppönen

Mode of delivery

Face-to-face

Teaching language

English

Timing

04.11.2021 - 26.12.2021

Enrollment date range

11.06.2021 - 03.11.2021
- 5 credits
Group(s)
- AMO20H-Å
Responsible unit

Administration

Degree Programme(s)

Degree Programme in Autonomous Maritime Operations

Campus

Åbo, Hertig Johans parkgata 21

Assessment scale

H-5
Cyber security and Connectivity AMO18CS01-3004 30.09.2021-10.01.2022 5 credits (AMO21HP-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

Teaching language

English

Timing

30.09.2021 - 10.01.2022

Enrollment date range

11.06.2021 - 30.09.2021
- 5 credits
Group(s)
- AMO21HP-Å
Teachers and responsibilities

Thomas Finne

Responsible unit

Faculty of Technology and Seafaring

Degree Programme(s)

Degree Programme in Autonomous Maritime Operations

Campus

Åbo, Hertig Johans parkgata 21

Assessment scale

H-5
Master's Thesis - Part 1 AMO18MT01-3004 01.02.2022-28.10.2022 10 credits (AMO21HP-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

01.02.2022 - 28.10.2022

Enrollment date range

15.11.2021 - 28.10.2022
- 10 credits
Group(s)
- AMO21HP-Å
Teachers and responsibilities

Thomas Finne

Responsible unit

Faculty of Technology and Seafaring

Degree Programme(s)

Degree Programme in Autonomous Maritime Operations

Campus

Åbo, Hertig Johans parkgata 21

Assessment scale

H-5
Master's Thesis - Part 2 AMO18MT02-3003 01.09.2021-31.07.2022 10 credits (AMO20H-Å) +-
Competence objectives of the study unit

Master`s Thesis 2
At the second stage the process continues by gathering information and combining the theoretical framework and empirical work. A meaningful development project is based on the requirements of working life commissions.

The student
- is able to critically evaluate the used sources and methods
- can select applicable sources and uses them systematically
- is able to use the methods chosen for the project
- is able to self-evaluate and discuss work(s) in progress
- can present and discuss work(s) in progress.

Prerequisites

No prerequisites.

Content of the study unit

The process continues by gathering information and combining the theoretical framework and empirical work. A meaningful development project is based on the requirements of working life commissions.

Person(s) in charge

Thomas Finne

Mode of delivery

Face-to-face

Teaching language

English

Timing

01.09.2021 - 31.07.2022

Enrollment date range

11.06.2021 - 31.05.2022
- 10 credits
Group(s)
- AMO20H-Å
Teachers and responsibilities

Thomas Finne

Responsible unit

Faculty of Technology and Seafaring

Degree Programme(s)

Degree Programme in Autonomous Maritime Operations

Campus

Åbo, Hertig Johans parkgata 21

Assessment scale

H-5
Master's Thesis - Part 3 AMO18MT03-3004 01.01.2022-31.07.2022 10 credits (AMO20H-Å) +-
Competence objectives of the study unit

The student:
- masters the methods and practices used in the maritime industry and is able to complete a thesis
- is able to document the final results and report the project according to good ethical principles
- is capable to give a presentation as well as to publish the thesis

Prerequisites

No prerequisites.

Content of the study unit

-finalizes the thesis.
-presents, after receiving permission from the supervisor and reviewer, the Final Thesis.
-after an approved presentation a written maturity test is done.
-after the approval from both supervisor and reviewer, the thesis is published by the Student on: Theseus.fi

Person(s) in charge

Thomas Finne

Mode of delivery

Face-to-face

Teaching language

English

Timing

01.01.2022 - 31.07.2022

Enrollment date range

15.11.2021 - 31.05.2022
- 10 credits
Group(s)
- AMO20H-Å
Teachers and responsibilities

Thomas Finne

Responsible unit

Faculty of Technology and Seafaring

Degree Programme(s)

Degree Programme in Autonomous Maritime Operations

Campus

Åbo, Hertig Johans parkgata 21

Assessment scale

H-5
Remote Operations AMO18RO01-3003 16.09.2021-15.10.2021 5 credits (AMO20H-Å) +-
Competence objectives of the study unit

The student
- is able to recognize different Human Factors involved in Remote operations
- is familiar with existing surveillance and fleet management operation centres
- knows how to perform and communicate during Remote monitoring and operations
- understands the existing technology used in remote operations

Prerequisites

No prerequisites.

Content of the study unit

-Concept of Remote Operations
General overview of Remote Operations
Remote Operations in various domains
Objectives of remote operations – why ?
-Prerequisites for remote operations
General technological development
Sensor technology that enables remote operations
Status of technological development – where are we now
- The operation of maritime remote operation center
Current understanding of ROC manning
Roles and responsibilities
-Human Factors and operational safety
Human factor issues and challenges in remote operations
Human decision making and human error
UX and automation awareness
-The future of remote operations – a general over-view

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

Teaching language

English

Timing

16.09.2021 - 15.10.2021

Enrollment date range

11.06.2021 - 30.09.2021
- 5 credits
Group(s)
- AMO20H-Å
Teachers and responsibilities

Johanna Salokannel

Responsible unit

Administration

Degree Programme(s)

Degree Programme in Autonomous Maritime Operations

Campus

Åbo, Hertig Johans parkgata 21

Assessment scale

H-5
Research and Research Methods AMO21MI02-3002 09.09.2021-12.11.2021 4 credits (AMO21HP-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

Teaching language

English

Timing

09.09.2021 - 12.11.2021

Enrollment date range

11.06.2021 - 30.09.2021
- 4 credits
Group(s)
- AMO21HP-Å
Teachers and responsibilities

Katarina Sandström, Thomas Finne

Responsible unit

Faculty of Technology and Seafaring

Degree Programme(s)

Degree Programme in Autonomous Maritime Operations

Campus

Åbo, Hertig Johans parkgata 21

Assessment scale

H-5
Studying in the Master's Program MM21AE41-3002 09.09.2021-29.10.2021 1 credits (AMO21HP-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 with lecturers

Prerequisites

No pre-requisites

Content of the study unit

Familiarization with:
- Moodle
- other on-line application according to lecturer's choice
- Novia library facilities
- Novia procedures and forms (e.g. recognizing previous studies)
- Student Services
- other issues considered important

Person(s) in charge

Thomas Finne

Mode of delivery

Face-to-face

Teaching language

English

Timing

09.09.2021 - 29.10.2021

Enrollment date range

11.06.2021 - 30.09.2021
- 1 credits
Group(s)
- AMO21HP-Å
Teachers and responsibilities

Katarina Sandström, Thomas Finne

Responsible unit

Faculty of Technology and Seafaring

Degree Programme(s)

Degree Programme in Autonomous Maritime Operations

Campus

Åbo, Hertig Johans parkgata 21

Assessment scale

H-5

Academic year 2022 - 2023

Autonomous vessels - automation AMO22AV01-3001 17.11.2022-27.01.2023 5 credits (AMO22HP-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.

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

17.11.2022 - 27.01.2023

Enrollment date range

16.06.2022 - 16.11.2022
- 5 credits
Group(s)
- AMO22HP-Å
Teachers and responsibilities

Katarina Sandström

Degree Programme(s)

Degree Programme in Autonomous Maritime Operations

Campus

Åbo, Hertig Johans parkgata 21

RDI share

3 credits

Share of online studies

3 credits

Assessment scale

H-5

Exam dates and retake possibilities

Examination dates in January-February 2023

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 AMO22CS01-3001 29.09.2022-16.01.2023 5 credits (AMO22HP-Å) +-
Competence objectives of the study unit

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.

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

Mode of delivery

Face-to-face

Teaching language

English

Timing

29.09.2022 - 16.01.2023

Enrollment date range

16.06.2022 - 28.09.2022
- 5 credits
Group(s)
- AMO22HP-Å
Teachers and responsibilities

Thomas Finne

Degree Programme(s)

Degree Programme in Autonomous Maritime Operations

Campus

Åbo, Hertig Johans parkgata 21

Assessment scale

H-5
Master's Thesis - Part 1 AMO22MT01-3001 02.12.2022-05.06.2023 10 credits (AMO22HP-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.

Mode of delivery

Face-to-face

Teaching language

English

Timing

02.12.2022 - 05.06.2023

Enrollment date range

16.06.2022 - 31.01.2023
- 10 credits
Group(s)
- AMO22HP-Å
Teachers and responsibilities

Thomas Finne

Degree Programme(s)

Degree Programme in Autonomous Maritime Operations

Campus

Åbo, Hertig Johans parkgata 21

Assessment scale

H-5

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

Master of Engineering

Academic year 2021 - 2022

Academic year 2022 - 2023

Degree Programme in Autonomous Maritime OperationsMaster of Engineering, 60 ECTS

Master of Engineering

Academic year 2021 - 2022

Academic year 2022 - 2023

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