Identifying Data 2016/17
Subject (*) Mathematics 1 Code 730G05001
Study programme
Grao en Enxeñaría Naval e Oceánica
Descriptors Cycle Period Year Type Credits
Graduate 1st four-month period
First FB 6
Language
Spanish
Galician
Teaching method Face-to-face
Prerequisites
Department Matemáticas
Coordinador
Cao Rial, María Teresa
E-mail
teresa.cao@udc.es
Lecturers
Cao Rial, María Teresa
Suarez Taboada, Maria
Torres Miño, Araceli
E-mail
teresa.cao@udc.es
maria.suarez3@udc.es
araceli.torres@udc.es
Web http://campusvirtual.udc.es/moodle
General description Nesta materia estudiarase fundamentalmente cálculo diferencial e integral para funcións de varias variables. Para iso será necesario antes introducir certos conceptos topolóxicos e comprender as funcións de varias variables a través do seu dominio e conxuntos de nivel. O cálculo diferencial permitirá abordar conceptos como o plano tanxente e as series de Taylor, ademais de empregarse para o cálculo de extremos. O cálculo integral introducirase repasando a integración de funcións de unha variable para logo xeralizar os conceptos relacionados a funcións e varias variables.

Study programme competencies
Code Study programme competences
A1 Skill for the resolution of the mathematical problems that can be formulated in the engineering. Aptitude for applying the knowledge on: linear algebra; geometry; differential geometry; differential and integral calculation; differential equations and in partial derivatives; numerical methods; algorithmic numerical; statistics and optimization
A5 Have a capacity for the space vision and knowledge of the techniques of graphic representation, so much for traditional methods of metric geometry and descriptive geometry, as through the applications of design assisted by computer
B1 That the students proved to have and to understand knowledge in an area of study what part of the base of the secondary education, and itself tends to find to a level that, although it leans in advanced text books, it includes also some aspects that knowledge implicates proceeding from the vanguard of its field of study
B2 That the students know how to apply its knowledge to its work or vocation in a professional way and possess the competences that tend to prove itself by the elaboration and defense of arguments and the resolution of problems in its area of study
B3 That the students have the ability to bring together and to interpret relevant data (normally in its area of study) to emit judgments that include a reflection on relevant subjects of social, scientific or ethical kind
B5 That the students developed those skills of learning necessary to start subsequent studies with a high degree of autonomy
B6 Be able to carrying out a critical analysis, evaluation and synthesis of new and complex ideas.
C1 Using the basic tools of the technologies of the information and the communications (TIC) necessary for the exercise of its profession and for the learning throughout its life.
C4 Recognizing critically the knowledge, the technology and the available information to solve the problems that they must face.
C5 Assuming the importance of the learning as professional and as citizen throughout the life.

Learning aims
Learning outcomes Study programme competences
To think in a logic, critic and creative way. B1
B2
B3
B5
B6
C4
C5
Get familiar with calculus language A1
B1
B5
To understand the main characteristics of the formulation of a mathematical problem using the tools of the inifinitesimal calculus. A1
A5
B2
B3
B5
B6
C4
To be able to use the bibliography and the available IT tools to find the necessary information for solving a given problem A1
A5
B5
B6
C1
C4
C5
To be able to evaluate the difficuylty of a problem and to choose the most suitable technique among the studied ones to carry on its solution. Have a good predisposition for problem solving B3
C1
C4
C5
To know the underlying geometrical meaning of the studied mathematical formalism. To be able to represent sets in the plane and in the three dimensional space using different coordinates systems A1
A5
B1
B2
To obtain a basic knowledge of functions of several variables: level sets, limits, continuity A1
A5
B1
B2
B3
Ability of thinking in an abstract way, understanding and simplifying complex problems. A1
B1
B2
B3
B5
B6
C4
To understand the importance of partial derivatives and their relation to instantaneous variation of a magnitude (phisical, chemical, economical) and to asses their utility for the correct mathematical formulation of problems in engineering A1
B2
B5
B6
To understand the meaning of integrals and their usage for the formulation of several problems in engineering. To know how to apply integral for the computation of areas of plane figures, areas of a surface of revolution and solid volumes. A1
B2
B5
B6

Contents
Topic Sub-topic
The space R^n The vector space R^n.
Scalar product: norms and distances.
Classification of points and sets.
Topology of R^n: bounded set, extrema.
Coordinates systems: polar, cylindrical and spherical coordinates.
Functions of several variables Scalar and vector functions.
Level sets.
Continuity.
Continuity in compact sets.
Differenciation of funcions of several variables Directional derivative.
Partial derivatives: properties and practical computing.
Differential map of a function.
Gradient, relation with partial derivatives.
Relation between the differential map and partial derivatives: jacobian matrix.
Higher order partial derivatives.
Introduction to vector calculus.
Applications of the differenciation of functions of several variables Taylor polynomial for funcions of one and several variables.
Critical points.
Classification: Hessian matrix.
Constrained optimization: dimensionality reduction, Lagrange multipliers method.
Implicit function and inverse function theorems.
Integration of funcions of one variable Riemann sums.
Integrable functions.
Integral Calculus Theorems: Mean Value Theorem, Fundamental Theorem and Barrow's rule.
Primitive Calculus.
Polinomial interpolation.
Numerical integration. Compound Simpson's Rule.
Application of integral calculus to computing arc lengths, volumes of revolution and surface areas of revolution.
Integration of functions of several variables

Double integrals.
Triple integrals.
Change of variable in double and triple integrals.
Application of integral calculus to computing volume and mass of a solid body and its center of mass.
Complex numbers The field of complex numbers.
Operations: sum, produt.
Module and argument.
Polar form.
Operating in polar form.
Appendix: The free software program, MAXIMA Practical sessions with the free software program MAXIMA

Planning
Methodologies / tests Competencies Ordinary class hours Student’s personal work hours Total hours
Guest lecture / keynote speech A1 A5 B3 B5 B6 C5 C4 30 45 75
Problem solving A1 A5 B1 B2 B3 B5 B6 C4 C5 20 25 45
Objective test A5 A1 B1 B2 B3 B5 B6 C1 C4 C5 6 0 6
Workshop A1 B1 B2 B3 C1 C4 10 10 20
 
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 The course will be developed during the regular classes where the professor will explain the main concepts and results of the subject.
Problem solving This classes are organiized in such a way that we practice how to solve the proposed problems.
Objective test Three exams will be carried out during the course. The first one will be a partial exam where only some of the chapters will be considered. A final exam will be done at the end of the semester. Furthermore a computer exam will be carried out.
Workshop Problems are solved assisted by the computer programm Maxima.

Personalized attention
Methodologies
Workshop
Problem solving
Description
The contents of the subject as well as the homework require that student work by themselves. This will generate some questions that they can ask during the classes or during the office hours.

Assessment
Methodologies Competencies Description Qualification
Objective test A5 A1 B1 B2 B3 B5 B6 C1 C4 C5 Written exams to assess the knowledge of the subject by the students. The subject will consist on four parts and the final qualification of the subject will be de addition of the qualification obtained at each of these parts

1) The first one will be performed in the reserved period for the partial exams (about the beginning of November), and will involve all the chapters studied until the celebration of the exam. If the student passes this exam, the qualification is retained until the end of the present course. This part will be recoverable in the final exam (second chance), to be held in July.

2) The second (and final) exam will be carried out in the period of final exams. It will involve the second part of the subject and a second chance to pass the first part.

The weight of both exams will be the 80% of the final qualification. In case of passing any of these two parts, either in the partial of november or in the final exam of january, the qualification is retained for the present course until the exam of second oportunity of july.

3) The third part consists of evaluating the content of the issue "Complex Numbers", either by the work done throughout the semester, or with performing a specific exercise in the final objective test. The weight of this part is 10% of the final grade.

4) The third exam will consist on the evaluation the competences using the program MAXIMA, where the students must show their capacity for problem solving using the MAXIMA program. The weight of this third part will be the 10% of the final qualification. This part WILL NOT be recoverable, but the obtanined qualification will be kept until July.
100
 
Assessment comments

Sources of information
Basic García, A. et al. (2007). Cálculo I. Teoría y Problemas de Análisis Matemático en Una Variable. Madrid. Clagsa
García, A. et al. (2007). Cálculo II. Teoría y Problemas de Análisis Matemático en Varias Variables. Madrid. Clagsa
Burgos Román, Juan de (2007). Cálculo infinitesimal de una variable. Madrid. McGraw-Hill
Soler, M., Bronte, R., Marchante, L. (1992). Cálculo infinitesimal e integral. Madrid
García Castro, F., Gutiérrez Gómez, A. (1990-1992). Cálculo Infinitesimal. I-1,2. Pirámide. Madrid
Tébar Flores, E. (1977). Cálculo Infinitesimal. I-II. Madrid. Tébar Flores
Coquillat, F (1997). Cálculo Integral. Madrid. Tebar Flores
Spiegel, M. R. (1991). Cálculo Superior. Madrid. McGraw-Hill
Marsden, J., Tromba, A. (2010). Cálculo vectorial. ADDISON WESLEY
Larson, R., Hostetler, R., Edwards, B. (2013). Calculus. . Brooks Cole
Salas, L., Hille, E., Etgen, G. (2003). Calculus. vol I-II. Madrid. Reverté
De Diego, B. (1991). Ejercicios de Análisis: Cálculo diferencial e intergral (primer curso de escuelas técnicas superiores y facultades de ciencias). Madrid. Deimos
Varios (1990). Problemas de Cálculo Infinitesimal. Madrid. R.A.E.C.

Complementary

There are many interesting webpages that can help with this subject, here we cite just a few:

  • http://www.cds.caltech.edu/~marsden/books/Vector_Calculus.html

  • http://ocw.mit.edu/courses/mathematics/18-01-single-variable-calculus-fall-2006/

  • http://ocw.mit.edu/courses/mathematics/18-02-multivariable-calculus-fall-2007/index.htm

  • http://193.144.60.200/elearning/  


Recommendations
Subjects that it is recommended to have taken before

Subjects that are recommended to be taken simultaneously

Subjects that continue the syllabus
ÁLXEBRA/730G03006
ESTATÍSTICA/730G03008
ECUACIÓNS DIFERENCIAIS/730G03011
FIABILIDADE ESTATÍSTICA E MÉTODOS NUMÉRICOS/730G03046

Other comments


(*)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.