Academic year 2022 - 2023

•   Artificial Intelligence, Machine Learning, Human - Machine Interaction AMO22AI01-3001 09.02.2023-03.04.2023  5 credits  (AMO22HP-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.

  ---

  Mode of delivery

  Face-to-face

  Learning material

  Lecture materials
  
  The intelligent systems institute @ Novia collects useful resources and study material related to AI and machine learning in our public GitHub repository:
  
  https://github.com/NoviaIntSysGroup/resources-and-learning-material/blob/main/Study_Material.md

  Learning methods

  Teaching methods:
  
  - Lectures,
  
  - Assignmets (coding, presentations, and reports),

  Objects, timing and methods of assessment

  Pls see 'Study Unit Information'.

  Teaching language

  English

  Timing

  09.02.2023 - 03.04.2023

  Enrollment date range

  02.12.2022 - 08.02.2023

  • 5 credits

  Group(s)

  • AMO22HP-Å

  Teachers and responsibilities

  Johan Westö

  Additional information

  The intelligent systems institute @ Novia provides instructions for installing relevant software and for setting up your own computer to work with machine learning projects in our public GitHub repository.
  
  https://github.com/NoviaIntSysGroup/resources-and-learning-material

  Responsible unit

  ÅboRaseborg (not translated)

  Degree Programme(s)

  Degree Programme in Autonomous Maritime Operations

  Campus

  Åbo, Hertig Johans parkgata 21

  Assessment scale

  H-5

  Exam dates and retake possibilities

  No exam, grade is based on course assignments.

•   Autonomous vessels - automation AMO22AV01-3001 17.11.2022-17.03.2023  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 - 17.03.2023

  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.

•   Classification, qualification and safety perspectives AMO18CQ01-3005 03.11.2022-09.12.2022  5 credits  (AMO21HP-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.

  ---

  Mode of delivery

  Face-to-face

  Teaching language

  English

  Timing

  03.11.2022 - 09.12.2022

  Enrollment date range

  16.06.2022 - 30.11.2022

  • 5 credits

  Group(s)

  • AMO21HP-Å

  Teachers and responsibilities

  Ahti Hyppönen

  Degree Programme(s)

  Degree Programme in Autonomous Maritime Operations

  Campus

  Åbo, Hertig Johans parkgata 21

  Assessment scale

  H-5

•   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

  Learning material

  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

  Learning 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.

  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

  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 autonomous vessels.

  Degree Programme(s)

  Degree Programme in Autonomous Maritime Operations

  Campus

  Åbo, Hertig Johans parkgata 21

  Assessment scale

  H-5

  Student's schedule and workload

  5 ECTS: 135 hours of work
  
  Contact sessions: about 25 h
  Literature & theory studies: about 55 h
  The assignments: about 55 h

  Assessment criteria

  Assessment criteria – satisfactory (1-2)

  Pls see 'Study Unit Information'

•   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

•   Master's Thesis - Part 2 AMO18MT02-3004 01.09.2022-31.07.2023  10 credits  (AMO21HP-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.

  ---

  Mode of delivery

  Face-to-face

  Teaching language

  English

  Timing

  01.09.2022 - 31.07.2023

  Enrollment date range

  02.08.2022 - 31.05.2023

  • 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 3 AMO18MT03-3005 01.01.2023-31.07.2023  10 credits  (AMO19V-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

  ---

  Mode of delivery

  Face-to-face

  Teaching language

  English

  Timing

  01.01.2023 - 31.07.2023

  Enrollment date range

  01.12.2022 - 31.12.2022

  • 10 credits

  Group(s)

  • AMO19V-Å
  • 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

•   Remote Operations AMO18RO01-3005 15.09.2022-31.10.2022  5 credits  (AMO21HP-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.

  ---

  Mode of delivery

  Face-to-face

  Teaching language

  English

  Timing

  15.09.2022 - 31.10.2022

  Enrollment date range

  16.06.2022 - 23.09.2022

  • 5 credits

  Group(s)

  • AMO21HP-Å

  Teachers and responsibilities

  Johanna Salokannel

  Degree Programme(s)

  Degree Programme in Autonomous Maritime Operations

  Campus

  Åbo, Hertig Johans parkgata 21

  Assessment scale

  H-5

•   Risk Management VAL230014-3002 06.05.2023-24.05.2023  1 credits +-
  Competence objectives of the study unit

  A course within the ’Cirkus’ project.
  
  The target is to give the participants an overview of current risks, cases, and theories and methods in risk management. Further the course gives an insight into what is expected from modern companies and leaders in these questions.
  
  Target Group for the course: Leaders / Managers in industry and business.

  Prerequisites

  Participants: Leaders / Managers in industry and business.

  Content of the study unit

  What is Risk management (RM) ? Why RM ? Modules in RM, cases, theories and methods in RM.

  Further information

  Pls note
  In case questions about the course contents pls contact the course responsible: thomas.finne@novia.fi
  If questions about the use of systems Moodle and/or Peppi, contact: Martina Englund-Perälä
  email: martina.englund-perala@novia.fi

  ---

  Mode of delivery

  Face-to-face

  Teaching language

  English

  Timing

  06.05.2023 - 24.05.2023

  Enrollment date range

  06.04.2023 - 05.05.2023

  • 1 credits

  Degree Programme(s)

  Degree Programme in Autonomous Maritime Operations

  Assessment scale

  H-5

•   Risk Management VAL230014-3001 06.05.2023-24.05.2023  1 credits +-
  Competence objectives of the study unit

  A course within the ’Cirkus’ project.
  
  The target is to give the participants an overview of current risks, cases, and theories and methods in risk management. Further the course gives an insight into what is expected from modern companies and leaders in these questions.
  
  Target Group for the course: Leaders / Managers in industry and business.

  Prerequisites

  Participants: Leaders / Managers in industry and business.

  Content of the study unit

  What is Risk management (RM) ? Why RM ? Modules in RM, cases, theories and methods in RM.

  Further information

  Pls note
  In case questions about the course contents pls contact the course responsible: thomas.finne@novia.fi
  If questions about the use of systems Moodle and/or Peppi, contact: Martina Englund-Perälä
  email: martina.englund-perala@novia.fi

  ---

  Person(s) in charge

  Thomas Finne

  Mode of delivery

  Face-to-face

  Teaching language

  English

  Timing

  06.05.2023 - 24.05.2023

  Enrollment date range

  17.03.2023 - 02.05.2023

  • 1 credits

  Teachers and responsibilities

  Thomas Finne

  Degree Programme(s)

  Degree Programme in Autonomous Maritime Operations

  Assessment scale

  H-5

Academic year 2023 - 2024

There is no implementations attached to this degree programme.