TS8002 - Advanced topics in simulation and analysis of maritime operations


Examination arrangement

Examination arrangement: Approved report
Grade: Passed / Not Passed

Evaluation Weighting Duration Grade deviation Examination aids
Approved report 100/100

Course content

The course is suitable for PhD graduates, who will do research within advanced maritime operations focusing on system analysis, modeling, simulation and visualization, aimed at design, virtual prototyping, operational training and life cycle maintenance and service. The teaching is mainly conducted as a self-study with joint colloquia/seminars to discuss relevant methods and topics, and with invited guest lectures by national or international researchers in the field. The purpose is that PhD candidates should be able to specify and learn advanced methods and theory within which are not covered in the MSc. programs or in other PhD subjects at the university. Normally, students will define an individual specific study topic, agreed with the course responsible/supervisors at the start of the course. Key topics will be in the application of digital technology, data collection, data transfer and data analysis.

Learning outcome

Knowledge: After completing the course, the students will be able to demonstrate detailed knowledge of the studied subject at an advanced level within demanding maritime operations focusing on analysis, modeling, simulation and visualization, aimed at design, virtual prototyping, operational training and / or condition monitoring. Skills: After completing the course, the students should be able to: -explain the theoretical background in the selected subject and relate this logically and systematically to the dissemination of theoretical models for analyzes of the given problem. -argue for choice of methods and display skills using selected methods -show through an applied case example and some results applying the selected methods General competence: Through participation and completion of the course the students shall: -write a journal article with clear and concise presentation of theory, application, results, discussion and conclusions, and verbally present the results of a specific case study -conduct academic studies and publish research results in a good research ethical way.

Learning methods and activities

The teaching is generally conducted as a self-study with joint colloquiums and seminars where relevant topics are discussed between the students and scientific resources, including invited guest researchers. The course will be offered every semester when enough students have signed up. To pass the course, a minimum score of 70 percent is required (70 out of 100 points). For special case, the learning activity could be organized individually based on the discussion between Ph.D candidate and course responsible.

Course materials

Agreed at the start of the course based on defined topics and/or by the organized guest lectures. The self-study will be based on a reading list containing general material on the core topics, and some individual defined reading specified by the individual selected topic, and all defined at the beginning of the course.

More on the course



Version: 1
Credits:  10.0 SP
Study level: Doctoral degree level


Term no.: 1
Teaching semester:  AUTUMN 2023

Language of instruction: English

Location: Ålesund

Subject area(s)
  • Nautic
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Ocean Operations and Civil Engineering


Examination arrangement: Approved report

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn ORD Approved report 100/100





Room Building Number of candidates
Spring ORD Approved report 100/100
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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