Identifying Data 2022/23
Subject (*) Mathematics I Code 631G03001
Study programme
Grao en Máquinas Navais
Descriptors Cycle Period Year Type Credits
Graduate 1st four-month period
First Basic training 6
Language
Spanish
Galician
Teaching method Face-to-face
Prerequisites
Department Matemáticas
Coordinador
Cao Rial, María Teresa
E-mail
teresa.cao@udc.es
Lecturers
Calvo Garrido, María Del Carmen
Cao Rial, María Teresa
E-mail
carmen.calvo.garrido@udc.es
teresa.cao@udc.es
Web http://www.nauticaymaquinas.es/
General description Nesta materia danse a coñecer os conceptos fundamentais e as aplicacións máis elementais de Álxebra Lineal, Xeometría do Plano e do Espazo Afín e Euclídeo, Análise de Funcións Reais dunha Variable Real e Variable Complexa. O alumno vai aprender a manexar con soltura as ferramentas básicas de Álxebra e Cálculo pero tamén a mellorar as súas habilidades na aprendizaxe e desenvolvemento de novos métodos e tecnoloxías necesarias para continuar a súa formación. Tamén a traballar con material bibliográfico e recursos informáticos, a elaborar unha memoria/informe de modo rigoroso e sistemático, a escribir e transmitir coñecementos correctamente, a realizar eficazmente as tarefas asignadas como parte dun grupo, etc. En concreto será capaz de resolver e analizar os resultados dos problemas matemáticos que poidan xurdir na enxeñería, a usar modelos matemáticos e a identificar o caso en que deben aplicarse.

Study programme competencies
Code Study programme competences
A73 CE73 - Modelizar situacións e resolver problemas con técnicas ou ferramentas físico-matemáticas.
A74 CE74 - Avaliar de forma cualitativa e cuantitativa os datos e resultados, así como a representación e interpretación matemáticas de resultados obtidos experimentalmente.
A75 CE75 - Interpretar e representar correctamente o espazo tridimensional, coñecendo os obxectivos e o emprego dos sistemas de representación gráfica.
B1 CB1 - Demostrar que posúen e comprenden coñecementos na área de estudo que parte da base da educación secundaria xeneral, e que inclúe coñecementos procedentes da vangarda do seu campo de estudo
B3 CB3 - Ter a capacidade de reunir e interpretar datos relevantes para emitir xuicios que inclúan unha reflexión sobre temas relevantes de índole social, científica ou ética
B4 CB4 - Poder transmitir información, ideas, problemas e solucións a un público tanto especializado como non especializado.
B5 CB5 - Ter desenvolvido aquelas habilidades de aprendizaxe necesarias para emprender estudos posteriores con un alto grao de autonomía.
B6 CG01 - Capacidade para xestionar os propios coñecementos e utilizar de forma eficiente técnicas de traballo intelectual.
B7 CG02 - Resolver problemas de forma efectiva.
B8 CG03 - Comunicarse de maneira efectiva nunha contorna de traballo.
B9 CG04 - Traballar de forma autónoma con iniciativa.
B10 CG05 - Traballar de forma colaborativa.
B11 CG06 - Comportarse con ética e responsabilidade social como cidadán e como profesional.
B12 CG07 - Capacidade para interpretar, seleccionar e valorar conceptos adquiridos noutras disciplinas do ámbito mariño, mediante fundamentos físico-matemáticos.
B13 CG08 - Capacidade para a aprendizaxe de novos métodos e teorías, que lle doten dunha gran versatilidade para adaptarse a novas situacións.
B14 CG09 - Comunicar por escrito e oralmente os coñecementos procedentes da linguaxe científica.
B15 CG10 - Capacidade para resolver problemas con iniciativa, toma de decisións, creatividade, razoamento crítico e de comunicar e transmitir coñecementos habilidades e destrezas.
B16 CG11 - Valorar criticamente o coñecemento, a tecnoloxía e a información dispoñible para resolver os problemas cos que deben enfrontarse.
B17 CG12 - Asumir como profesional e cidadán a importancia da aprendizaxe ao longo da vida.
B18 CG13 - Valorar a importancia que ten a investigación, a innovación e o desenvolvemento tecnolóxico no avance socioeconómico e cultural da sociedade.
C1 CT01 - Expresarse correctamente, tanto de forma oral como escrita, nas linguas oficiais da comunidade autónoma.
C3 CT03 - Utilizar as ferramentas básicas das tecnoloxías da información e as comunicacións (TIC) necesarias para o exercicio da súa profesión e para a aprendizaxe ao longo da súa vida.
C7 CT07 - Desenvolver a capacidade de traballar en equipos interdisciplinares ou transdisciplinares, para ofrecer propostas que contribúan a un desenvolvemento sostible ambiental, económico, político e social.
C8 CT08 - Valorar a importancia que ten a investigación, a innovación e o desenvolvemento tecnolóxico no avance socioeconómico e cultural da sociedade.
C9 CT09 - Ter a capacidade de xestionar tempos e recursos: desenvolver plans, priorizar actividades, identificar as críticas, establecer prazos e cumprilos.

Learning aims
Learning outcomes Study programme competences
Escribir e transmitir coñecementos correctamente. B3
B4
B11
C1
Realizar eficazmente as tarefas asignadas como parte dun grupo. B4
B8
B10
C1
C7
Ser capaz de resolver e analizar os resultados dos problemas matemáticos que poidan plantexarse na enxeñaría. A73
A74
A75
B3
B6
B7
B9
B12
B13
B15
C3
C9
Usar modelos matemáticos e identificar o caso no que deben aplicarse. A73
A74
A75
B1
B3
B6
B7
B13
B15
Coñecer os conceptos fundamentais e aplicacións da Álgebra Lineal, Xeometría do Plano e do Espacio Afín e Euclídeo, Análisis de Funcións Reais dunha Variable Real e Variable Complexa. A73
A74
A75
B1
B3
B5
B6
B7
B9
B13
B15
Manexar con soltura as ferramentas básicas da Álxebra e o Cálculo. A73
A74
A75
B1
B7
B9
B11
C3
C7
C8
C9
Mellorar habilidades na aprendizaxe e desenvolvemento de novos métodos e tecnoloxías necesarias para continuar a súa formación. B3
B5
B11
B13
B16
B17
B18
C8
Traballar con material bibliográfico e recursos informáticos. C3
C8
Elaborar unha memoria/informe de modo científico, estruturado, rigoroso e conciso. B3
B4
B7
B8
B9
B14
C1
C8
C9

Contents
Topic Sub-topic
Lesson 1.- Vector Space 1.1.- Vector space. Definition. Examples and Properties
1.2.- Vector subspace.
1.3.- System of Generators of a Subspace
1.4.- Linear Independence
1.5.- Basis of a Vector Space. Finite Dimensional Spaces.
1.6.- Change of Basis in a Vector Space
1.7.- Union and Intersection of Subspaces
1.8.- Sum of Subspaces. Direct sum. Supplementary Subspaces.
1.9.- Product of Vectorial Spaces
Lesson 2.- Linear Functions. Matrices. 2.1.- Linear Function: Definition, Examples, Properties and Types of Linear Functions.
2.2.- Kernel and Image of a Linear Function.
2.3.- Existence and obtention of an Associated Matrix to a Linear Function.
2.4.- Addition of Linear Functions. Product by a Scalar. Associated Matrices.
2.5.- Vector Spaces of Matrices
2.6.- Composition of Linear Functions. Associated Matrix.
2.7.- Product of Matrices. Ring of Square Matrices
2.8.- Some Particular Types of Matrices
2.9.- Transpose Matrix. Symmetric, Antisymmetric and Orthogonal Matrices.
2.10.- Matrices of Complex Elements.
Lesson 3.- Determinants.
3.0.- Permutations. Class of a Permutation.
3.1.- Determinant of a Square Matrix. Sarrus Rule.
3.2.- Properties of Determinants.
3.3.- Methods for Calculation of Determinants. Cofactor Matrix.
3.4.- Product of Determinants.
3.5.- Some Particular Examples of Determinants.
3.6.- Reverse Matrix.
3.7.- Rank of a Matrix.
3.8.- Rank of a System of Vectors
3.9.- Expression of the Change of Base of a Vectorial Space in shape Matrix
Lesson 4.- Systems of Linear Equations.
4.1.- Definitions. Classification. Matrix notation.
4.2.- Equivalent systems.
4.3.- System of Cramer. Rule of Cramer
4.4.- General System of Linear Equations. Theorem of Rouché-Frobenius
4.5.- Homogeneous Systems.
4.6.- Methods of Resolution by Reduction. Gauss' Method.
Lesson 5.- Matrix Diagonalization.
5.1.- Eigenvectors and Eigenvalues. Properties.
5.2.- Characteristic polynomial. Properties.
5.3.- Diagonalizable Matrices. Diagonalization.
5.4.- Diagonalization Of Symmetric Matrices.
Lesson 6.- Affine Space E3. Problems of Incidence and Parallelism.
6.1.- Affine Space Associated to a Vector Space. System of Reference. Coordinates.
6.2.- Equations of Straight Lines.
6.3.- Relative positions of Straight Lines.
6.4.- Equations of a Plane.
6.5.- Relative positions of Planes. Bundles of Planes.
6.6.- Relative positions of Straight Lines and Planes.
Lesson 7.- Euclidean Vector Spaces. Scalar product, Vector product. Mixed Product. 7.1.- Scalar product
7.2.- Determination of a Scalar Product. Gram Matrix.
7.3.- Euclidean Vector Space. Definition.
7.4.- Norm of a Vector. Relevant Equalities and Inequalities.
7.5.- Angle of two Vectors. Orthogonality.
7.6.- Orthonormal Basis. Expression of the Scalar Product in an Orthonormal Basis.
7.7.- Euclidean Space E3.
7.8.- Orientation in E3.
7.9.- Vector product in R3 . Properties. Analytical expression.
7.10.- Mixed product. Analytical expression. Geometrical interpretation.
7.11.- Combined Products.
Lesson 8.- Metric Problems in Euclidean Spaces.
8.1.- Normal equation of a Plane.
8.2.- Angles between Linear Manifolds in R3: Angle of Two Planes, Angle of Two Straight Lines, Angle of Straight Line and Plane.
8.3.- Distance between Linear Manifolds in R3: Distance of a Point to a Plane, Distance of a Point to a Straight Line. Distance between two Planes, Distance between Straight Line and Plane. Distance between two Straight Lines. Common Perpendicular to two Straight Lines.
8.4.- Cylindrical coordinates and Spherical coordinates in R3.
Lesson 9.-Real valued functions of a Real Variable. Continuity.
9.1.- Basic definitions.
9.2.- Functional limits.
9.3.- Continuity. Types of Discontinuity.
9.4.- Properties and Theorems on Continuous Functions.
Lesson 10.- Differentiability and Applications of the Derivatives.

10.1.- Derivative and Differential of a Function in a Point. Geometrical meaning.
10.2.- Properties and Calculation of Derivatives.
10.3.- Derivative function. Successive derivatives.
10.4.- Applications of the Derivatives to the Local Study of a Function: Growth and Decreasing. Maxima and Minima. Concavity and Convexity. Inflection points.
10.5.- Theorems of Rolle and Mean Value Theorem.
10.6.- Rules of L´Hôpital
Lesson 11.- Theorem of Taylor. Applications.

11.1.- Expression of a Polynomial by means of his Derivatives in a Point.
11.2.- Polynomial and Theorem of Taylor. Formulae of Taylor and Mac Laurin.
11.3.- Expression of Lagrange for the Residual. Bounds for the residual.
11.4.- Applications to the Local Study of a Function: Monotonicity. Extremal values. Concavity and Convexity. Inflection points.
Lesson 15.- Indefinite integration of Functions of a Real Variable
15.1.- General definitions. Table of Primitives.
15.2.- Immediate integration
15.3.- Integration by Parts
15.4.- Integration of Rational Functions
15.5.- Integration by Replacement or Change of Variable
Lesson 16.- Definite Integration. Applications.
16.1.- General definitions
16.2.- Properties
16.3.- Mean Value Theorem. Barrow's Rule.
16.4.- Evaluation of Definite Integrals.
16.5.- Improper Integral.
16.6.- Applications of the Definite Integral
Lesson 17.- Complex Numbers 17.1.- General definitions
17.2.- Fundamental operations
17.3.- Powers and Roots
17.4.- Exponential form of a Complex
17.5.- Logarithms And Complex Powers.
The development and overcoming of these contents, together with those corresponding to other subjects that include the acquisition of specific competencies of the degree, guarantees the knowledge, comprehension and sufficiency of the competencies contained in Table AIII / 2, of the STCW Convention, related to the level of management of First Engineer Officer of the Merchant Navy, on ships without power limitation of the main propulsion machinery and Chief Engineer officer of the Merchant Navy up to a maximum of 3000 kW. Table A-III / 2 of the STCW Convention.
Specification of the minimum standard of competence for Chief Engineer Officers and First Engineer Officers on ships powered by main propulsion machinery of 3000 kW or more.

Planning
Methodologies / tests Competencies Ordinary class hours Student’s personal work hours Total hours
Guest lecture / keynote speech A75 B3 B5 B6 B17 B18 C8 C9 28 28 56
Problem solving A73 A74 A75 B1 B3 B4 B5 B6 B7 B8 B9 B10 B11 B12 B13 B17 C1 C7 C8 24 36 60
Supervised projects A73 B1 B3 B4 B6 B8 B9 B10 B14 B15 B16 C1 C3 C7 C8 0 10 10
Seminar B1 B3 B5 B6 B7 B8 B9 B10 0 10 10
Document analysis B9 B10 B13 B16 C3 C7 C8 C9 0 3 3
Introductory activities B1 B4 B5 2 2 4
Objective test B1 B8 B11 B14 B15 C1 C7 C8 C9 2 0 2
 
Personalized attention 5 0 5
 
(*)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 Exposition in the classroom of the fundamental concepts.
Problem solving In each topic, exercises will be proposed to solve.
Supervised projects Proposed individual and group projects.
Seminar Individual and / or very small group tutorships.
Document analysis Select books and web pages to use
Introductory activities Introdución á materia
Objective test Knowledge assessment.

Personalized attention
Methodologies
Seminar
Supervised projects
Description
The students are encouraged to attend in small groups or individually to the professors' office, or by TEAMS, to solve questions that may arise, thus obtaining a more specific guidance, acoording to their specific difficulties.

Due to the health situation caused by COVID-19, and following the recommendations of the Center, the attention to students will preferably be held through computer hardware and the Internet (email and meetings by MS Teams), in order to avoid face-to-face interaction in office.

Assessment
Methodologies Competencies Description Qualification
Supervised projects A73 B1 B3 B4 B6 B8 B9 B10 B14 B15 B16 C1 C3 C7 C8 Traballos propostos.
15
Objective test B1 B8 B11 B14 B15 C1 C7 C8 C9 Comprobación dos coñecementos e capacidade de resolución de problemas.
60
Guest lecture / keynote speech A75 B3 B5 B6 B17 B18 C8 C9 Preguntas sobre cuestións teóricas 10
Problem solving A73 A74 A75 B1 B3 B4 B5 B6 B7 B8 B9 B10 B11 B12 B13 B17 C1 C7 C8 Resolver problemas. 15
 
Assessment comments

The students participants in the EHEA should attend a minimum of 80% of the lessons, being the continuous assessment of 40% of the final score. The other 60% of the score will be obtained from the partial tests that will take place throughout the term.

The students who have followed the continuous assessment but have not reached the 50% of the score through the partial tests will have a chance to reach it through a final test. This final test will include all topics of the term (the partial tests do not exclude topics)

The students who decide to not take part in the EHEA will be evaluated  with an objective test that includes an individual test of assimilation of practical-theoretical knowledge and problem solving.

Those students with recognition of part-time dedication and academic exemption of attendance, as established by the norm that regulates the regime of dedication to the study of undergraduate students in the UDC (Arts 2.3, 3.b, 4.3 e 7.5 ) (04/05/2017), and want to stay on the path of the EHEA and benefit from continuous assessment, must INDICATE SUCH CONDITION AT THE BEGINNING OF THE COURSE and attend at least 50% of the interactive lectures. In case of not being able to attend these sessions, they should attend tutorials at the proffesor office or by TEAMS, where they will perform equivalent tests.

The fraudulent performance of the tests or evaluation activities, once verified, will directly imply the failure grade, numerical qualification of 0, in the corresponding call, invalidating any grade obtained in the tests or evaluation activities, as established in the academic regulations at the UDC.


Sources of information
Basic D.G. Zill, W.S. Wright, J. Ibarra (). Matemáticas 1. Cálculo Diferencial. McGraw Hill
D.G. Zill, W.S. Wright, J. Ibarra (). Matemáticas 2. Cálculo Integral. McGraw Hill
S. Grossman, J. Ibarra (). Matemáticas 4. Álgebra Lineal. McGraw Hill
Á.M. Ramos del Olmo, J.M. Rey Cabezas (2017). Matemáticas básicas para el acceso a la universidad. Pirámide

Complementary Granero, F (). ALGEBRA Y GEOMETRÍA ANALÍTICA. Mac Graw-Hill
Fernández Viña, J.A (). ANÁLISIS MATEMÁTICO I. Tecnos
Granero, F. (). CÁLCULO. Mac Graw-Hill
García , A.y otros. (). CÁLCULO I (Teoría y Problemas). Librería I.C.A.I
Granero, F. (). EJERCICIOS Y PROBLEMAS DE CÁLCULO (I y II). Tébar Flores
Villa, A. de la (). PROBLEMAS DE ALGEBRA LINEAL. GLAGSA


Recommendations
Subjects that it is recommended to have taken before

Subjects that are recommended to be taken simultaneously
Physics I/631G03003

Subjects that continue the syllabus
Numerical and Statistical Methods/631G03011
Mathematics II/631G03006

Other comments
<p>Attend the optional introductory course the first week.</p>


(*)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.