Identifying Data 2020/21
Subject (*) Computational Methods Applied to Marine Engineering Code 631480201
Study programme
Mestrado Universitario en Enxeñaría Mariña
Descriptors Cycle Period Year Type Credits
Official Master's Degree 2nd four-month period
 First Optional 3
Language
Spanish
Teaching method Face-to-face
Prerequisites
Department Ciencias da Navegación e Enxeñaría Mariña
Coordinador
Baaliña Insua, Alvaro
 E-mail
alvaro.baalina@udc.es
Lecturers
Baaliña Insua, Alvaro
 E-mail
alvaro.baalina@udc.es
Web http://estudos.udc.es/en/subject/480V01/480201
General description A materia baséase no coñecemento e aplicación dos métodos computacionais en procesos de transferencia de calor e fluxo de fluídos, para o deseño e cálculo de equipos e sistemas de instalacións mariñas.
Acadarase destreza suficiente para coñecer as limitacións do método e a precisión dos resultados obtidos, tendo en conta as hipóteses de partida e empregando software CFD-FloEFD.
Contingency plan 1. Modificacións nos contidos

Non se realizarán cambios.

2. Metodoloxías
*Metodoloxías docentes que se manteñen

Sesión Maxistral (computa na avaliación)
Solución de problemas (computa na avaliación)
Traballos tutelados (computa na avaliación)
Proba obxectiva (computa na avaliación)

*Metodoloxías docentes que se modifican
Non se realizan cambios

3. Mecanismos de atención personalizada ao alumnado

Correo electrónico: Pra facer consultas,
resolver dúbidas teóricas e de resolución de problemas e facer o seguimento dos traballos tutelados.
– Moodle: A través dos foros poden formular consultas sobre os contidos teóricos e resolución de problemas. Tamén se poden planear debates dirixidos sobre determinados contidos da materia.
– Teams: Sesións no horario oficial para o desenrolo dos contidos teóricos-prácticos e dos traballos tutelados.
Sesións adicionais se é necesario ou baixo demanda do alumnado, para a resolución de dúbidas e apoio nos traballos tutelados.

4. Modificacións na avaliación
Traballos tutelados pasan a computar un 40 %.
Proba obxectiva pasa a computar un 50 %.

*Observacións de avaliación:

Mantéñense os mesmos requisitos na 2ª avaliación, computándose a asistencia tanto presencial como non presencial si é o caso (segundo a listaxe de asistencia descargada desde Teams).
Para o alumnado con recoñecemento de dedicación a tempo parcial e dispensa académica de exención de asistencia, a cualificación obtida nas actividades asociadas ao sistema personalizado de titorías corresponderase coa avaliación da metodoloxía de solución de problemas e probas obxectivas, cunha ponderación do 40 e o 60 %, respectivamente.

5. Modificacións da bibliografía ou webgrafía

Non se realizarán cambios. O alumnado pode acceder aos contidos dixitalizados tanto teóricos como prácticos en Moodle

Study programme competencies
Code Study programme competences
A20 Capacidade para desenrolar tarefas de análise e síntese de problemas teórico-prácticos en base a conceptos adquiridos noutras disciplinas do ámbito marítimo, mediante fundamentos físico-matemáticos.
A21 Operar, reparar, manter, reformar, deseñar e optimizar a nivel de xestión as instalacións industriais relacionadas coa enxeñaría mariña.
A22 Capacidade para desenrolar métodos e procedementos para gañar competitividade na industria marítima.
B1 Aprender a aprender.
B2 Resolver problemas de forma efectiva.
B3 Comunicarse de maneira efectiva nun entorno de traballo.
B4 Traballar de forma autónoma con iniciativa.
B5 Traballar de forma colaborativa.
B6 Comportarse con ética e responsabilidade social como cidadán e como profesional.
B7 Capacidade para interpretar, seleccionar e valorar conceptos adquiridos noutras disciplinas do ámbito marítimo, mediante fundamentos físico-matemáticos.
B10 Comunicar por escrito e oralmente os coñecementos procedentes da linguaxe científica.
B11 Capacidade para resolver problemas con iniciativa, toma de decisións, creatividade, razoamento crítico e de comunicar e transmitir coñecementos, habilidades e destrezas.
B12 Posuír e comprender coñecementos que aporten unha base ou oportunidade de ser orixinais no desenvolvemento e/ou aplicación de ideas, a miúdo nun contexto de investigación
B13 Que os estudantes saiban aplicar os coñecementos adquiridos e a sua capacidade de resolución de problemas en contornas novas ou pouco coñecidas dentro de contextos máis amplos (ou multidisciplinares) relacionados coa súa área de estudo
B14 Que os estudantes sexan capaces de integrar coñecementos e enfrontarse á complexidade de formular xuízos a partires dunha información que, sendo incompleta ou limitada, inclúa reflexións sobre as responsabilidades sociais e éticas vencelladas á aplicación dos seus coñecementos e xuízos
B15 Que os estudantes saiban comunicar as súas conclusións e os coñecementos e razóns últimas que as sustentan a públicos especializados e non especializados dun xeito claro e sin ambigüidades
B16 Que os estudantes posúan as habilidades de aprendizaxe que lles permitan continuar estudando dun xeito que haberá de ser en grande medida autodirixido ou autónomo.
C1 Expresarse correctamente, tanto de forma oral coma escrita, nas linguas oficiais da comunidade autónoma.
C2 Dominar a expresión e a comprensión de forma oral e escrita dun idioma estranxeiro.
C4 Desenvolverse para o exercicio dunha cidadanía aberta, culta, crítica, comprometida, democrática e solidaria, capaz de analizar a realidade, diagnosticar problemas, formular e implantar solucións baseadas no coñecemento e orientadas ao ben común.
C6 Valorar criticamente o coñecemento, a tecnoloxía e a información dispoñible para resolver os problemas cos que deben enfrontarse.
C7 Asumir como profesional e cidadán a importancia da aprendizaxe ao longo da vida.
C8 Valorar a importancia que ten a investigación, a innovación e o desenvolvemento tecnolóxico no avance socioeconómico e cultural da sociedade.
C9 Falar ben en público

Learning aims
Learning outcomes Study programme competences
Analysis and synthesis of the concepts of computational methods and their application in practical cases with heat transfer and fluid flow processes combined. Capability for modeling processes by means computational methods. . AC20
AC21
AC22
 BC1
BC2
BC3
BC4
BC5
BC6
BC7
BC10
BC11
BC12
BC13
BC14
BC15
BC16
 CC1
CC2
CC4
CC6
CC7
CC8
CC9
Critical reasoning about applicable physical models. Study habits, structuring information and management of specialized software. BC1
BC2
BC3
BC4
BC5
BC6
BC7
BC10
BC11
 CC1
CC2
CC4
CC6
CC7
CC8

Contents
Topic Sub-topic
1.- The governing equations of Fluid Dynamics and Heat Transfer. 1.1 Conservation equations. Integral and differential form.
1.2. Conduction, convection and radiation
2.-Partial Differential Equations. 2.1. Classification
2.2. Behavior
3.- Grids 3.1. Transformation of equations
3.2. Grid generation
4.- CFD Techniques 4.1. Lax-Wendroff
4.2. Maccormack's
5.- Applications. Use of CFD software FloEFD 5.1. Fluid flow applications
5.2. Heat Transfer applications

Planning
Methodologies / tests Competencies Ordinary class hours Student’s personal work hours Total hours
Guest lecture / keynote speech B1 B2 B3 B4 B5 B6 B7 B10 B11 C1 C2 C4 C6 C7 C8 C9 11 22 33
Problem solving A20 A21 A22 B1 B2 B4 B5 B7 B11 B13 B14 B16 4 8 12
Supervised projects A20 A21 A22 B2 B3 B4 B5 B6 B7 B10 B11 B12 B15 C1 C6 4 10 14
Objective test A20 A21 A22 B1 B2 B3 B4 B5 B6 B7 B10 B11 B12 B13 B14 B15 B16 C1 C2 C4 C6 C7 C8 C9 2 10 12
 
Personalized attention 4 0 4
 
(*)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 There will be a detailed explanation of the contents of the material, distributed across topics. The student will have a typed copy of the subject matter in each keynote session. Students are encouraged to participate in class, through comments linking the theoretical contents with real life experiences.
Problem solving Problems will be solved for each item proposed, allowing the application of mathematical models appropriate to each case, including managing software of FloEFD de Mentor Graphics, applying the most appropriate assumptions, the theoretical relation developed in lectures and relation with professional practice
Supervised projects Problems more difficult than those solved in class or issues of special relevance.
Objective test The degree of acquired knowledge about the contents assessed, taking into account both theory and problem solving.

Personalized attention
Methodologies
Supervised projects
Problem solving
Description
The personalized attention related with the methodologies that contemplate it, aims to encourage maximum interaction with students, in order to optimize their effort and improve their learning.
Through this interaction, together with the other evaluation processes, the degree of learning of the subject competences will be determined, allowing personalized attention to those students who most need it through individualized tutoring, whose convocation will be held in with involved students.
Regardless of the face-to-face tutoring programmed by the teacher, the student can go to tutoring, as many times as he wants, and at a time compatible with teaching, research and management professor activities.
In accordance with the "norma que regula o réxime de dedicación ao estudo dos estudantes de grao na UDC" (Art.3.b e 4.5) and ""normas de avaliación, revisión e reclamación das cualificacións dos estudos de grao e mestrado universitario” (Art. 3 e 8b), students with part-time recognition and academic exemption from attendance exemption may participate in a personalized and flexible system of mentoring and evaluation tutorials in order to determine the degree of competency learning achieved. Regarding with this matter, the tutorials will serve to carry out those activities included within the methodology of supervised projects and problems solution.

Assessment
Methodologies Competencies Description Qualification
Supervised projects A20 A21 A22 B2 B3 B4 B5 B6 B7 B10 B11 B12 B15 C1 C6 Presentation and defense of the work. Structure, neatness, originality and expository method are valued.
Assessed comptencies: A20; A21; A22; B2; B3; B4; B5; B6; B7; B10; B11; C1;C6 		20
Problem solving A20 A21 A22 B1 B2 B4 B5 B7 B11 B13 B14 B16 Problem solving, if possible, with software.
Assessed competencies: A20; A21; A22; B2; B4; B5; B7; B11 		10
Objective test A20 A21 A22 B1 B2 B3 B4 B5 B6 B7 B10 B11 B12 B13 B14 B15 B16 C1 C2 C4 C6 C7 C8 C9 The degree of acquired knowledge about the learning contents is assessed, taking into account both the theoretical part and the problems. Understanding of basic topics, problem solving strategies , evolution and capacity to analyse criticaly are assessed.


Two term exams contribute to 70% of the qualification. Final objetive test with the same contribution is programmed for students who failed term exams.
Assessed competencies: A20; A21; A22; B1; B2; B3; B4; B5; B6; B7; B10; B11; C1; C2; C4; C6; C7; C8 		60
Guest lecture / keynote speech B1 B2 B3 B4 B5 B6 B7 B10 B11 C1 C2 C4 C6 C7 C8 C9 Attendance at the sessions will count as part of the final grade
Assessed competencies: B1, B2, B3, B4, B5, B6, B7, B10, B11, C1, C2, C4, C6, C7, C8 		10
 
Assessment comments
The official tests of the first chance (May-June) will collect the different assessment methodologies and must be completed by those students who have not fully passed the continuous assessment. This test will be designed in such a way that the student can deal with the methodologies of problem-solving and objective test, where he has not reached 30% of the total rating.  

The students required to attend the official tests of the second chance (June-July) will retain the qualification achieved in all methodologies, except for the one obtained in the objective tests of the first chance, which will be replaced by the 2nd. In the same way, you can only opt for honours if the maximum number of these for the corresponding course is not covered in full at the first chance.

For the students with recognition of part-time dedication and academic exemption of attendance exemption, the qualification obtained in the activities associated with the personalized tutoring system will correspond to the evaluation of the methodology of problem-solving and objective tests, with 30 % and 70 % of total rating, respectively.

Sources of information
Basic Post, Scott (2011). Applied and computational fluid mechanics . Jones and Bartlett Publishers
John D. Anderson (1995). Computational Fluid Dynamics. McGrawHill
Patankar, Suhas V. (1980). Numerical heat transfer and fluid flow. Taylor & Francis

Complementary


Recommendations
Subjects that it is recommended to have taken before

Subjects that are recommended to be taken simultaneously

Subjects that continue the syllabus

Other comments

It would be desirable the student has a laptop for installing FloEFD software.


(*)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.