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

  Faculty of Technology and Seafaring

  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

  Faculty of Technology and Seafaring

  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.

  Objects, timing and methods of assessment

  Pls see Study Unit Information

  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

  Faculty of Technology and Seafaring

  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

  Learning methods

  Pls see 'Study Unit information'

  Objects, timing and methods of assessment

  Pls see 'Study Unit information'

  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

  Faculty of Technology and Seafaring

  Degree Programme(s)

  Degree Programme in Autonomous Maritime Operations

  Campus

  Åbo, Hertig Johans parkgata 21

  Assessment scale

  H-5

  Student's schedule and workload

  Pls see 'Study Unit information'

•   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

  Learning material

  The materials handed out at the Research methodology course function as basis also here.

  Learning methods

  Discussions, Q&A about research and research plan. Presentation of research plan.

  Objects, timing and methods of assessment

  A ready, orally presented, discussed and if necessary improved handed-in research plan for the thesis.

  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

  Faculty of Technology and Seafaring

  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

  A presented and approved research plan is a must.

  Student's schedule and workload

  Pls see 'Study Unit information'

•   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

  Faculty of Technology and Seafaring

  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

  Learning methods

  Introduction of teachers, curricula, students. Going through systems and processes.
  Includes also input from representants from Student service, Student advisory, Library.

  Objects, timing and methods of assessment

  Approved or Rejected. No scores 1-5 in this course, Introduction.

  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

  Faculty of Technology and Seafaring

  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.