Identifying Data 2019/20
Subject (*) Calculus Code 614G01003
Study programme
Grao en Enxeñaría Informática
Descriptors Cycle Period Year Type Credits
Graduate 1st four-month period
First Basic training 6
Language
Spanish
Galician
English
Teaching method Face-to-face
Prerequisites
Department Matemáticas
Coordinador
Hervella Nieto, Luis Maria
E-mail
luis.hervella@udc.es
Lecturers
Arregui Alvarez, Iñigo
Cendan Verdes, Jose Jesus
Garcia Abel, Marta
García Rodríguez, José Antonio
Gonzalez Taboada, Maria
Hervella Nieto, Luis Maria
Iglesias Otero, Maria Teresa
Leitao Rodríguez, Álvaro
E-mail
inigo.arregui@udc.es
jesus.cendan.verdes@udc.es
marta.gabel@udc.es
jose.garcia.rodriguez@udc.es
maria.gonzalez.taboada@udc.es
luis.hervella@udc.es
maria.teresa.iotero@udc.es
alvaro.leitao@udc.es
Web http://moodle.udc.es/
General description Nesta materia explícanse conceptos da análise de funcións reais dunha variable real (continuidade, derivabilidade, integración, ecuacións diferenciais), con aplicacións en problemas reais de optimización e aproximación de funcións.

Study programme competencies
Code Study programme competences
A1 Capacidade para a resolución dos problemas matemáticos que se poden presentar na enxeñaría. Aptitude para aplicar os coñecementos sobre: álxebra linear; cálculo diferencial e integral; métodos numéricos; algorítmica numérica; estatística e optimización.
B3 Capacidade de análise e síntese

Learning aims
Learning outcomes Study programme competences
Being able to analyze functions of a real variable: - Limits , continuity, differentiation, optimization and graphical representation - Definite and indefinite integration and its application to the calculation of areas and volumes , as well as solving differential equations. A1
B3
Being able to use a computer application of symbolic and computational calculus for the development of the contents of the subject A1
B3

Contents
Topic Sub-topic
Real valued functions of one real variable - Important sets of numbers
- Real valued functions of one real variable
- Elementary functions
- Limit of a function at one point
- Continuity
- Bisection method
- Lagrange interpolation
Differential calculus of real valued functions of one real variable - Differentiability
- Derivative of elementary functions
- Newton-Raphson's Method
- Relative and absolute extrema
- Theorems of differential calculus
- Immediate applications of derivatives
- Higher order derivatives
- Taylor's theorem
- Implicit and logarithmic differentiation
Integral calculus of real valued functions of one variable - The Riemann integral
- Elementary methods for the calculus of primitives
- Improper integrals
- Applications of the integral
- Numerical integration
- Introduction to differential equations

Planning
Methodologies / tests Competencies Ordinary class hours Student’s personal work hours Total hours
Guest lecture / keynote speech A1 B3 30 60 90
Laboratory practice A1 B3 18 18 36
Seminar A1 B3 9 9 18
Objective test A1 B3 0 3 3
 
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 - Presentations in .pdf format (previously provided to students) containing the basic notes to follow the development of the subject, will be maid using a projector
- Theory will be presented using the blackboard and providing clarifying examples
- Applets created explicitly for the subject and others available on the Internet will be used to illustrate some aspects of the subject.
Laboratory practice - The use of the software package Octave, which will be used in the subject for symbolic and numerical computation, will be taught .
- Problems related to the subject will be solved using Octave
Seminar - In small groups tutories (TGR), which are called 'Seminars' in this guide, doubts of students will be solved, as well as exercises of the problems sets -available on beforehand- or other problems proposed by the teacher or the students.

- In some seminars students can do, voluntarily, a project related with the Sustainable Development Goals (SDG). In this educational task, the student will associate the contents of this subject with some of the SGD.
Objective test - A quiz consisting of a collection of theoretical and/or practical questions will be done

Personalized attention
Methodologies
Laboratory practice
Seminar
Description
- The diversity of the students and their background recomends giving an orientation, that should be carried out in the framework of a personalized tutorial action.
- In the laboratory sessions the teacher, who will be present in the clasroom, will guide and help students to develop the practises, teaching them in the use of a software package, helping them to understand some theoretical and practical aspects of the subject.
- During the seminars (TGR) the teacher will help the students in the resolution of theoretical and applied exercises.

Without forgetting that, as already mentioned, that doubts can also be solved in a more personal way in the tutorial hours of the teacher.

Assessment
Methodologies Competencies Description Qualification
Laboratory practice A1 B3 Students will do 2 exams during laboratory classes that will represent 30% of the final qualification.
Only part-time students that have not been evaluated of laboratory practice can do a specific exam to recover the 30% of the mark corresponding to this part.
30
Seminar A1 B3 During the course, students will do a written exam with a maximum qualification of 10% of the final mark. Those students who do not obtain the maximum qualification in this written exam, can recover the missing part when they do the final exam.

Eventually according to the teacher, the student can obtain this 10% of the qualification doing a project related with the Sustainable Development Goals (SDG).
10
Objective test A1 B3 The final exam, with a value between 50 and 70% (depending on the qualification obtained in the Guest lecture exam and the Seminar exam) will consist of a written exam of test type. 50
Guest lecture / keynote speech A1 B3 During the course, students will do a written exam with a maximum qualification of 10% of the final mark. Those students who do not obtain the maximum qualification in this written exam, can recover the missing part when they do the final exam.
10
 
Assessment comments

The student will finish the classes period with a maximum of 50% of the qualification, that will be obtained through two written exams (10% each one) and two exams corresponding to the laboratory practice (30%).

In the dates stablished by the Faculty Board, the student will do a written exam. The grade obtained in the final exam will be rescheduled so that the student has the opportunity to recover the lost part of the 20% of the grade corresponding to the written examinations made during the guest lectures and the seminars. It is not possible to recover the mark corresponding to the evaluation of the laboratory practices. In this way, the final mark of the final exam will be between 5 and 7 points out of 10.

The evaluation of the  guest lectures, seminars and laboratory practices of students with part-time enrollment can be made taking into account, as far as possible, their particular circumstances.

With regard to the special call of December, the evaluation process will include:

a) an objective test that will score a maximum of seven points,

b) a test to assess knowledge acquired in laboratory practice, which shall not exceed three points.


Sources of information
Basic J. Stewart (2001). Cálculo de una variable. Thomson Learning
R.T. Smith, R.B. Minton (2002). Calculus (Second edition). McGraw-Hill
M.T. Iglesias Otero (2011). MatLab para Cálculo en una variable. Andavira

Complementary R. Larson, R. Hostetler, B.H. Edwards (2010). Cálculo Esencial. Cengage Learning
S. Josa (1992). Cómo iniciarse en la resolución de integrales. Edunsa
B.D. Hahn, D.T. Valentine (2007). Essential Matlab for Engineers and Scientistics (3th ed.) . B.H.
A.M. Ramos del Olmo, J.M. Rey Cabezas (2017). Matemáticas básicas para el acceso a la universidad. Ediciones Pirámide, Colección Ciencia y Técnica
C. Neuhauser (2004). Matemáticas para Ciencias. Pearson
S. Lantarón Sánchez, B. Llanas Juárez (2010). Matlab y Matemática Computacional . Bellisco Ediciones
J. de Burgos (2010). Test de cálculo infinitesimal : (enunciados, respuestas y justificación). Madrd : García-Maroto

Recommendations
Subjects that it is recommended to have taken before

Subjects that are recommended to be taken simultaneously

Subjects that continue the syllabus
Numerical Methods for Computing/614G01064

Other comments

Daily work is recommended for getting optimal profit from the seminars (TGR) and laboratory practices. Also assistance to the master classes is recommended



(*)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.