Study programme competencies |
Code
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Study programme competences
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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. |
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. |
Learning aims |
Subject competencies (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.
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AC20 AC21 AC22
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Critical reasoning about applicable physical models. Study habits, structuring information and management of specialized software. |
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BC1 BC2 BC3 BC4 BC5 BC6 BC7 BC10 BC11
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CC1 CC2 CC4 CC6 CC7 CC8
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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
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5.- Applications |
5.1. Fluid flow applications
5.2. Heat Transfer applications
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Planning |
Methodologies / tests |
Ordinary class hours |
Student’s personal work hours |
Total hours |
Guest lecture / keynote speech |
14 |
14 |
28 |
Problem solving |
7 |
14 |
21 |
Supervised projects |
7 |
7 |
14 |
Objective test |
2 |
6 |
8 |
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Personalized attention |
4 |
0 |
4 |
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(*)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, 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
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Problem solving |
Supervised projects |
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Description |
The student is guided in all contents, specially those difficult to understand. The corresponding revisions of examinations are also included. Channels of information and contact will be the Virtual School together individualized tutoring for six hours throughout the week. |
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Assessment |
Methodologies
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Description
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Qualification
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Guest lecture / keynote speech |
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 |
Problem solving |
Problem solving, if possible, with software.
Assessed competencies: A20; A21; A22; B2; B4; B5; B7; B11 |
10 |
Objective test |
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 |
70 |
Supervised projects |
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 |
10 |
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Assessment comments |
A final examination to collect all course methodologies and representing 100% of the grade, is planned for those students with assistance less than 80% of programmed teaching methodologies (85 % of supervised projects), as long as they pass mandatory laboratory practices.
The evaluation criteria listed in Table A-III 2, of the STCW Code, as amended, relating to this matter will be taken into account when designing and conducting evaluation.
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Sources of information |
Basic
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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 |
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Complementary
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Recommendations |
Subjects that it is recommended to have taken before |
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Subjects that are recommended to be taken simultaneously |
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Subjects that continue the syllabus |
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