course-details-portlet

MMA4005 - Modelling and Simulation of Maritime Systems

About

New from the academic year 2024/2025

Examination arrangement

Examination arrangement: Aggregate score
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
Assignment 40/100
Oral exam 60/100

Course content

Course Content:

This course is based on a problem oriented approach to teach the fundamental principles and methods for modeling, simulation and analysis of dynamic systems, using both theoretical and physical models.

  • Basic modeling techniques for multi-domain energy systems
  • Case oriented multi-domain modelling of a real system
  • Verification of theoretical models through experiments and/or real full scale data collection

Course curriculum

  • Mathematical modeling techniques for physical systems
  • Multi-domain physics simulations using power Bond-Graph modeling method and simulation software tools for energy systems (20Sim, Python etc.)
  • Simulation methods for state space models using different
  • Basic control theory and control systems
  • Verification of numerical models through experiments
  • Basic introduction to data sampling and analysis
  • Case study: Multi-Domain mechatronic system

In addition to the individual course topic, the study program shares a common project theme across all courses. This is addressed through the perspective and methodology of each course to deliver discipline specialization, as well as linking the different scopes and aspects into a holistic engineering view.

Learning outcome

Knowledge and skills

After this course the student:

  • understand the main principles of dynamic systems modeling and simulation, including the process from basic laws of physics to mathematical models and analysis.
  • can model and simulate dynamic systems, from physical description to solving equations in a simulation process.
  • know how to make qualified simplifications and assumptions to complex systems, and how the effect of these can be evaluated
  • are apply basic simulation software for energy systems modeling and simulation.
  • are able to plan and set up laboratory experiments for data sampling and prepare full-scale data sampling.
  • can carry out basic experimental methods in the laboratory and principles of data sampling and analysis.
  • can analyze and compare experimental data for verification and tuning of theoretical models.

Competence

After this course the students can

  • follow a systematic approach to model complex dynamic systems and recognize common behaviors in different energy domains.
  • verify and validate models through lab experiments and/or full-scale measurements.
  • work indedependently and in teams to solve complex modelling/simulation/verification problems
  • effectively communicate and collaborate in large engineering projects.

Learning methods and activities

Lectures, exercises, lab experiments, homework assignments and project work.

Further on evaluation

Oral exam 60% - Project work (40%) Re-sit examination:Students are entitled to re-sit the oral exam if they have legitimate reasons for absence, or have failed. If students fail the project, they have to retake it during the next ordinary examination semester.

Specific conditions

Admission to a programme of study is required:
Mechatronics and Automation (MSMECAUT)

Course materials

  • Lecture notes and scientific literature
  • Mathematical Modelling and Simulation of Physical systems, Eilif Pedersen and Hallvard Engja
  • Dynamic systems modelling, analysis and simulation - Finn Haugen
  • System Dynamics A Unified Approach - Dean Karnop, D.Margolis and R. Rosenberg

Credit reductions

Course code Reduction From To
IP500515 5.0 AUTUMN 2024
More on the course

No

Facts

Version: 1
Credits:  7.5 SP
Study level: Second degree level

Coursework

Term no.: 1
Teaching semester:  AUTUMN 2024

Language of instruction: English

Location: Ålesund

Subject area(s)
  • Engineering
  • Marine Technology
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Ocean Operations and Civil Engineering

Examination

Examination arrangement: Aggregate score

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn ORD Assignment 40/100

Submission
2024-12-12


12:00

INSPERA
Room Building Number of candidates
Autumn ORD Oral exam 60/100 2024-12-12 09:00
Room Building Number of candidates
Spring UTS Oral exam 60/100
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.
Examination

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

More on examinations at NTNU