course-details-portlet

MR8500 - PhD topics in marine control and hybrid power systems

About

Examination arrangement

Examination arrangement: Portfolio assessment
Grade: Passed/Failed

Evaluation Weighting Duration Grade deviation Examination aids
Oral assessment 50/100 30 minutes C
Project article/report 50/100

Course content

The course is organized for PhD students to target advanced topics within the themes of marine control engineering and/or marine hybrid power systems. The learning is generally organized as a self-study with some common lectures and colloquies for discussion of relevant theories and methods. The aim is for the PhD candidates to specify and learn advanced theories and methods for marine technology systems related to modeling, simulation, optimization, artificial intelligence, feedback control, real-time state estimation, model-based or data-driven detection/prediction, or functions of autonomous systems, cyberphysical systems, and digital twins.

Each student will define an individual advanced subject of study, beyond the scopes of the prerequisite MTech courses (TMR4240/4243/4290), in agreement with the course teacher and course responsible at the start of the academic year (fall semester). Some semesters the course will be announced and set to a specific topic on which we invite a recognized national or international guest researcher to lecture on.

Learning outcome

Knowledge: At the end of the course, the student should be able to demonstrate an in-depth knowledge of the studied topics on an advanced control and/or power engineering level for marine technology systems, taken from the themes of modeling, simulation, optimization, artificial intelligence, feedback control, real-time state estimation, model-based or data-driven detection/prediction, autonomous systems, or digital twin methods.

Skills: At the end of the course, the student should be able to:

  • explain the background theory of the studied topic and apply this with a clear rationale to the derivation and implementation of advanced models, methods, and algorithms, verification in a simulator or digital twin function, and performing critical analysis of results;
  • provide a clear and concise formulation of a studied problem or research question; and
  • demonstrate proficiency in why and how to the use relevant methods for solving the specified problems.

General competency: By participation and completion of the course, the student should:

  • write a journal paper with a clear and concise exposition of problem formulation, method development, simulations, critical analysis of results, and conclusions;
  • orally present the results of the project in a clear and efficient manner, within time limits; and
  • conduct academic studies and written work in an honest and ethical manner, without any sort of plagiarism and misconduct in the coursework, project papers, and presentations.

Learning methods and activities

The learning is generally conducted as a guided self-study course with common colloquies for discussion of relevant topics within the main control and power engineering themes. The course is started each fall semester and continue throughout the spring semester, given sufficiently many students that are registered. Each student will be assigned to the most relevant teacher registered with the course. Some semesters the course may be lectured in a traditional way by an invited guest lecturer, possibly based on traditional lectures, exercises, and a project.

The learning will go into a project to be defined by each student, formulated through a clear problem statement. This shall result in a brief journal-style paper and an oral evaluation on studied theories/methods and project results - both counting on the grade.

Further on evaluation

Examination is by a portfolio that includes an oral assessment of theoretical content (50%) and a project article/report (50%). 

For a re-take of an examination, parts of the portfolio may be exempt for re-take if already conducted well, by approval of course teacher and responsible. 

Required previous knowledge

If studying control engineering topics:

  • TMR4240 Marine Control Systems I (or equivalent upon approval)
  • TMR4243 Marine Control Systems II (or equivalent upon approval)

If studying hybrid power system topics:

  • TMR4290 Marine Electric Power and Propulsion Systems (or equivalent upon approval)

Course materials

Will be agreed at the start of the semester based on defined subjects or guest lectures.

More on the course
Facts

Version: 1
Credits:  10.5 SP
Study level: Doctoral degree level

Coursework

Term no.: 1
Teaching semester:  AUTUMN 2021

Term no.: 2
Teaching semester:  SPRING 2022

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Marine Cybernetics
  • Marine Operation and Maintenance Engineering
  • Marine Engineering
  • Marine Structures
  • Marine Hydrodynamics
Contact information

Examination

Examination arrangement: Portfolio assessment

Term Status code Evaluation Weighting Examination aids Date Time Digital exam Room *
Autumn ORD Project article/report 50/100
Room Building Number of candidates
Autumn ORD Oral assessment 50/100 C
Room Building Number of candidates
Spring ORD Project article/report 50/100
Room Building Number of candidates
Spring ORD Oral assessment 50/100 C
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.
Examination

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

More on examinations at NTNU