Identifying Data 2021/22
Subject (*) Intelligent Decision Support Systems Code 730542013
Study programme
Master Universitario Erasmus Mundus en Sostibilidade e Industria 4.0 aplicada ao Sector Marítimo
Descriptors Cycle Period Year Type Credits
Official Master's Degree 2nd four-month period
First Obligatory 6
Language
English
Teaching method Face-to-face
Prerequisites
Department Enxeñaría Naval e Industrial
Coordinador
Miguez Gonzalez, Marcos
E-mail
marcos.miguez@udc.es
Lecturers
Miguez Gonzalez, Marcos
Santiago Caamaño, Lucía
E-mail
marcos.miguez@udc.es
lucia.santiago.caamano@udc.es
Web http://http://www.master-seas40.unina.it
General description The overall aim of the course is to provide an understanding of the engineering and mathematical analyses that form the basics of monitoring and decision support systems used for onboard/navigational guidance of ships. These techniques are used by naval architects and engineers in the technical departments of ship owners, in classification societies and ship consultancies. Moreover, the student will be trained in advanced methods to evaluate ship operations with regards to the increased focus on energy consumption and emissions from ship.
Contingency plan 1. Modifications to the content:

- No changes will be made

2. Methodologies:

Teaching methodologies that are maintained:

- Supervised work.

Teaching methodologies that are modified:

- Mixed objective/subjective test: will be done using Moodle or equivalent institutional application.

- Master class: will be done using MS Teams or equivalent institutional application, also leaving the students or their content in video format for later viewing.

- ICT practicals: wwill be done using MS Teams or equivalent institutional application.

- Oral presentation: will be done using MS Teams or equivalent institutional application.

3. Mechanisms for personalized attention to students:

- Email/MS Teams: Daily, following the student´s request..

4. Modifications in the evaluation:

- No changes will be made

5. Modifications of the bibliography or webgraphy:

- No changes will be made

Study programme competencies
Code Study programme competences
A6 CE6 - Demonstrate knowledge, understanding and competences in fulfilling safety, economic and sustainability requirements in ship operation and management (SO).
B2 CB6 - Acquire and understand knowledge that provides a basis or opportunity to be original in the development and / or application of ideas, usually in a research context.
B3 CB7 - That students know how to apply the acquired knowledge and their ability to solve problems in new or unfamiliar environments within broader (or multidisciplinary) contexts related to their area of study.
B4 CB8 - That students are able to integrate knowledge and face the complexity of making judgments based on information that, being incomplete or limited, includes reflections on the social and ethical responsibilities linked to the application of their knowledge and judgments.
B5 CB9 – That students are able to communicate their conclusions -and the knowledge and ultimate reasons that sustain them- to specialized and non-specialized publics in a clear and unambiguous way.
B6 CB10 - That students have the learning skills that allow them to continue studying in a way that will be largely self-directed or autonomous.
B7 CG1 – To display the adequate intercultural competence to successfully navigating within multicultural learning environments and to implement basic management principles suitable for a multicultural working environment.
B8 CG2 – To express an attitude of intellectual inquisitiveness and open-mindedness.
B11 CG5 – To have the capability to identify, formulate and solve engineering problems within realistic constraints.
B12 CG6 – To appreciate the impact of sustainable development goals in maritime transport.
B13 CG7 – To have the capability to critically analyse, synthesise, interpret and summarise complex scientific processes.
C2 CT2 - Mastering oral and written expression in a foreign language.
C3 CT3 - Using ICT in working contexts and lifelong learning.
C4 CT4 - Acting as a respectful citizen according to democratic cultures and human rights and with a gender perspective.
C6 CT6 - Acquiring skills for healthy lifestyles, and healthy habits and routines.
C7 CT7 -Developing the ability to work in interdisciplinary or transdisciplinary teams in order to offer proposals that can contribute to a sustainable environmental, economic, political and social development.

Learning aims
Learning outcomes Study programme competences
Understanding of monitoring and decision support systems used for onboard/navigational guidance of ships and capability to evaluate and optimize ship operations with regards to energy consumption and emissions and safety. AC6
BC1
BC2
BC3
BC4
BC5
BC6
BC7
BC10
BC11
BC12
CC2
CC3
CC4
CC6
CC7

Contents
Topic Sub-topic
Random processes Mathematical representation and tools for analysis of stochastic processes (time and frequency domains); ocean waves.
Modelling of dynamical systems State space and input-output models for linear systems; response amplitude operators.
Seakeeping Methods for computation and assessment of ship responses in waves; motions, loads and fuel consumption.
Signal processing Methods and tools for processing of noisy signals in the time and frequency domain.
Estimation theory Parametric methods for estimation of signals; Kalman filtering and particle filtering; sea state estimation.
Detection theory Statistical learning; detection methods for Gaussian and non-Gaussian processes.
Decision support systems Design of decision support systems; human factors; study cases on safe marine operations and fuel efficiency.

Planning
Methodologies / tests Competencies Ordinary class hours Student’s personal work hours Total hours
Guest lecture / keynote speech A6 B2 B3 B4 B7 B12 C2 C4 C6 28 42 70
Mixed objective/subjective test A6 B2 B3 B4 B6 B11 B13 C2 2 0 2
Supervised projects A6 B2 B3 B4 B5 B6 B7 B8 B11 B13 C2 C3 C4 C7 5 42.5 47.5
Oral presentation B5 B13 C2 C3 C7 1 4 5
ICT practicals A6 B3 B11 C3 9 13.5 22.5
 
Personalized attention 3 0 3
 
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies
Methodologies Description
Guest lecture / keynote speech Oral presentation (using audiovisual material and student interaction) designed to transmit knowledge and encourage learning. Presentations of this type are variously referred to as ‘expository method’, ‘guest lectures’ or ‘keynote speeches’.

In this course, these presentations will be made by different proffessors, both from the UDC and from DTU.
Mixed objective/subjective test Mixed test consisting of essay-type and objective test questions. Essay section consists of open (extended answer) questions; objective test may contain multiple-choice, ordering and sequencing, short answer, binary, completion and/or multiple-matching questions.
Supervised projects Supervised learning process aimed at helping students to work independently in a range of contexts (academic and professional). Focused primarily on learning ‘how to do things’ and on encouraging students to become responsible for their own learning.

In this course, the supervised project will consist on a group based technical report based on an assignment done by the proffessors, and dealing about some of the topics of the course. This report may be presented in front of the rest of students. This fact will be announced in Moodle/Teams at the beggining of the course.
Oral presentation Core component of teaching-learning process involving coordinated oral interaction between student and teacher, including proposition, explanation and dynamic exposition of facts, topics, tasks, ideas and principles.

In this course, the oral presentation will consist on the presentation of the technical report in front of the rest of students and the proffessors.
ICT practicals Practice-based learning method for theoretical subject content using ICT resources (demonstrations, simulations, etc.) ICT is an excellent medium for practical knowledge applications and information processing, and a key aid to student learning and skills development.

In this course, MATLAB will be used to implement some of the systems described during the theoretical lectures.

Personalized attention
Methodologies
Guest lecture / keynote speech
Supervised projects
ICT practicals
Description
The proffessors will provide personalized attention to the students both personally and remotely using MS Teams or email.

In this course, this personalized attention will consist on support while developing the supervised projects, the ICT practicals and doubts and questions related to the contents ellaborated during the lectures.

Assessment
Methodologies Competencies Description Qualification
Supervised projects A6 B2 B3 B4 B5 B6 B7 B8 B11 B13 C2 C3 C4 C7 The qualification of the group based technical report will represent a 40 % of the student´s final qualification.

In case the oral presentation is not finally programmed, the percentage of the supervised projects will be 50 %.
40
Mixed objective/subjective test A6 B2 B3 B4 B6 B11 B13 C2 The qualification of the theoretical exam of this course will represent a 50 % of the student´s final qualification. 50
Oral presentation B5 B13 C2 C3 C7 In case the oral presentation is finally programmed, the percentage of its qualification will be a 10 %, including the presentation and the answers to the questions formulated by the proffessors and other students. 10
 
Assessment comments

According to the degree regulations, the students will have the oportunity to pass this course in two oportunities (first and second oportunity).

In order to pass the course, an overall mark of 5 out of 10 should be obtained by applying the percentages above to each of the methodologies, considering each of them evaluated in a scale from 0 to 10.

At the beggining of the course, dates for presenting the technical reports and doing the oral presentation will be published in Moodle/ MS Teams.

In the second oportunity, students will be able to repeat the exam and correct/modify the technical reports; however, in order to pass the course, both the technical report and the oral presentation should have been done in any case fullfilling the prescribed deadlines set during the course.

General EMJMD Sustainable Ship and Shipping  SEAS 4.0 evaluation rules:

- Students will have only two oportunities to pass a course. If failing to do so, they may be forced to leave the degree.
- No part time or lecture attendance exemption are allowed in this degree.



Sources of information
Basic

Complementary


Recommendations
Subjects that it is recommended to have taken before
2ND Generation Stability Criteria/730542006
Ship Seakeeping/730542008

Subjects that are recommended to be taken simultaneously
Manoeuvrability and Shallow Water Ship Hydrodynamics/730542012

Subjects that continue the syllabus

Other comments

To help in achieving a sustainable environment and to get the objective of number 5 action of the "Ferrol Green Campus Action Plan" (Healthy and environmentaly and socially sustainable research and teaching):

The assignments to be done in this course:

- Will be required in digital format.

- Will be delivered using Moodle, with no need to print them.

In case it is necessary to print them:

- Plastics won´t be used.

- Two side printing will be used.

- Recycled paper will be used.

- Printing drafts will be avoided.

A sustainable use of the resources should be done, together with the prevention of negative impacts on the environment. 



(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.