Academic year 2023 - 2024

•   Artificial Intelligence, Machine Learning, Human - Machine Interaction AMO22AI01-3002 01.01.2024-31.07.2024  5 credits  (AMO23HP-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

  Teaching language

  English

  Timing

  01.01.2024 - 31.07.2024

  Enrollment date range

  02.12.2023 - 31.12.2023

  • 5 credits

  Group(s)

  • AMO23HP-Å

  Teachers and responsibilities

  Johan Westö

  Responsible unit

  Faculty of Technology and Seafaring

  Degree Programme(s)

  Degree Programme in Autonomous Maritime Operations

  Assessment scale

  H-5

•   Autonomous Vessels - Automation AMO22AV01-3002 01.11.2023-01.02.2024  5 credits  (AMO23HP-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

  Face-to-face

  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

  01.11.2023 - 01.02.2024

  Enrollment date range

  02.07.2023 - 15.11.2023

  • 5 credits

  Group(s)

  • AMO23HP-Å

  Teachers and responsibilities

  Katarina Sandström

  Responsible unit

  Faculty of Technology and Seafaring

  Degree Programme(s)

  Degree Programme in Autonomous Maritime Operations

  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 AMO22CQ01-3002 02.11.2023-11.01.2024  5 credits  (AMO22HP-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 and strong execution.

  ---

  Mode of delivery

  Face-to-face

  Learning material

  Links to articles and other material will be provided in Moodle.

  Learning methods

  Lectures, self study, small exercises, simulator exercises, guest lecturers, reflective report and course assignment. Course assignment can be done individually or in groups of 2-3 participants.

  Teaching language

  English

  Timing

  02.11.2023 - 11.01.2024

  Enrollment date range

  02.07.2023 - 01.11.2023

  • 5 credits

  Group(s)

  • AMO22HP-Å

  Seats

  0 - 50

  Teachers and responsibilities

  Ahti Hyppönen

  Responsible unit

  Faculty of Technology and Seafaring

  Degree Programme(s)

  Degree Programme in Autonomous Maritime Operations

  Assessment scale

  H-5

  Exam dates and retake possibilities

  No exam, instead the assignments need to be handed in

•   Cyber Security and Connectivity AMO22CS01-3002 28.09.2023-31.01.2024  5 credits  (AMO23HP-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 lecture/s,
  and finally the Home exams; two assignments-one individual and one team incl presentation.

  Objects, timing and methods of assessment

  Pls see 'Study Unit Information'

  Teaching language

  English

  Timing

  28.09.2023 - 31.01.2024

  Enrollment date range

  15.06.2023 - 27.09.2023

  • 5 credits

  Group(s)

  • AMO23HP-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.

  Responsible unit

  Faculty of Technology and Seafaring

  Degree Programme(s)

  Degree Programme in Autonomous Maritime Operations

  Assessment scale

  H-5

  Student's schedule and workload

  5 ECTS: 135 hours of work
  
  Contact sessions: about 20 h
  Literature & theory studies: about 55 h
  The assignments: about 60 h

•   Master's Thesis - Part 1 AMO22MT01-3002 01.01.2024-31.07.2024  10 credits  (AMO23HP-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

  01.01.2024 - 31.07.2024

  Enrollment date range

  02.12.2023 - 31.12.2023

  • 10 credits

  Group(s)

  • AMO23HP-Å

  Teachers and responsibilities

  Thomas Finne

  Responsible unit

  Faculty of Technology and Seafaring

  Degree Programme(s)

  Degree Programme in Autonomous Maritime Operations

  Assessment scale

  H-5

•   Master's Thesis - Part 2 AMO22MT02-3001 01.08.2023-31.07.2024  10 credits  (AMO22HP-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 usually 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

  Thesis part No1.

  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

  01.08.2023 - 31.07.2024

  Enrollment date range

  02.07.2023 - 31.12.2023

  • 10 credits

  Group(s)

  • AMO22HP-Å

  Teachers and responsibilities

  Johanna Salokannel, Thomas Finne, Katarina Sandström

  Responsible unit

  Faculty of Technology and Seafaring

  Degree Programme(s)

  Degree Programme in Autonomous Maritime Operations

  Assessment scale

  H-5

•   Master's Thesis - Part 3 AMO22MT03-3001 01.01.2024-31.07.2024  10 credits  (AMO22HP-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
  - the thesis writer follows all thesis and thesis process related steps and rules.

  Prerequisites

  No prerequisites.

  Content of the study unit

  -finalizes the thesis.
  -presents, after receiving permission from the supervisor and reviewer, the Thesis.
  -after an approved presentation a written maturity test is done.
  -after potential updates of the presented thesis, and 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

  Learning methods

  Thesis writing and thesis meetings with the thesis supervisor.

  Teaching language

  Timing

  01.01.2024 - 31.07.2024

  Enrollment date range

  02.12.2023 - 29.02.2024

  • 10 credits

  Group(s)

  • AMO22HP-Å

  Additional information

  Writing and finalizing the Thesis.

  Responsible unit

  Faculty of Technology and Seafaring

  Degree Programme(s)

  Degree Programme in Autonomous Maritime Operations

  Assessment scale

  H-5

•   Remote Operations AMO22RO01-3002 11.09.2023-31.12.2023  5 credits  (AMO22HP-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

  - Dealing with the Concept of Remote Operations
  General overview of Remote Operations
  Remote Operations in various maritime 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 overview

  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

  11.09.2023 - 31.12.2023

  Enrollment date range

  15.06.2023 - 13.09.2023

  • 5 credits

  Group(s)

  • AMO22HP-Å

  Teachers and responsibilities

  Johanna Salokannel

  Responsible unit

  Faculty of Technology and Seafaring

  Degree Programme(s)

  Degree Programme in Autonomous Maritime Operations

  Assessment scale

  H-5

•   Research and Research Methods AMO22MI02-3002 31.08.2023-31.12.2023  4 credits  (MMM23HP-Å, ...) +-
  Competence objectives of the study unit

  The aim of the course is to give the student the tools for choosing a suitable method and plan 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 and is prepared to start that work.
  - 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.

  ---

  Mode of delivery

  Face-to-face

  Teaching language

  English

  Timing

  31.08.2023 - 31.12.2023

  Enrollment date range

  15.06.2023 - 06.09.2023

  • 4 credits

  Group(s)

  • MMM23HP-Å
  • AMO23HP-Å

  Teachers and responsibilities

  Thomas Finne, Katarina Sandström

  Additional information

  The Quizz in Moodle. Scoring: Failed - Passed.
  The quizz consists of multiple choice questions. The quizz is open about 4 weeks and you can make it whenever you like in that time period. In. Moodle there are questions (small tests) to practice on, but they will close when the actual exam period starts. Timeline to be communicated.
  
  The Research Plan. Scoring: Failed - Passed
  Based on the Pre-task that you handed in when applying to the program, and we discussed in the interviews. The pre-task you develop further during this course and then you hand it in the Return Box in Moodle
  We will then select and put the Plans according to Two Lanes:
  FAST LANE.
  STANDARD LANE.
  Timeline and detailed instructions to be communicated september 7th, 2023.

  Responsible unit

  Faculty of Technology and Seafaring

  Degree Programme(s)

  Degree Programme in Autonomous Maritime Operations

  Assessment scale

  Approved/Rejected

•   Studying in the Master's Program MM22AE41-3002 07.09.2023-29.12.2023  1 credits  (MMM23HP-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

  ---

  Mode of delivery

  Face-to-face

  Learning methods

  Pls see Study Unit Information / Objectives.

  Teaching language

  English

  Timing

  07.09.2023 - 29.12.2023

  Enrollment date range

  15.06.2023 - 06.09.2023

  • 1 credits

  Group(s)

  • MMM23HP-Å
  • AMO23HP-Å

  Teachers and responsibilities

  Thomas Finne

  Additional information

  Participates in the activities, on-line or in class. The Student get to know the systems used in the education and perform as well self-studies of them.

  Responsible unit

  Faculty of Technology and Seafaring

  Degree Programme(s)

  Degree Programme in Autonomous Maritime Operations

  Assessment scale

  Approved/Rejected

Academic year 2024 - 2025

There is no implementations attached to this degree programme.