Guías Docentes Electrónicas
1. General information
Course:
MATHEMATICAL INSTRUMENTS FOR ENGINEERING I
Code:
38300
Type:
BASIC
ECTS credits:
6
Degree:
345 - UNDERGRADUATE DEGREE PROGRAMME IN CIVIL ENGINEERING
Academic year:
2022-23
Center:
603 - E.T.S. CIVIL ENGINEERS OF CR
Group(s):
20 
Year:
1
Duration:
First semester
Main language:
Spanish
Second language:
English
Use of additional languages:
English Friendly:
Y
Web site:
Bilingual:
N
Lecturer: ROSA EVA PRUNEDA GONZALEZ - Group(s): 20 
Building/Office
Department
Phone number
Email
Office hours
Politecnico 2-D33
MATEMÁTICAS
3292
rosa.pruneda@uclm.es
It will be communicated at the beginning of the course.

Lecturer: CRISTINA SOLARES MARTINEZ - Group(s): 20 
Building/Office
Department
Phone number
Email
Office hours
Edificio Politécnico/2-D32
MATEMÁTICAS
3255
cristina.solares@uclm.es
It will be communicated at the beginning of the course.

2. Pre-Requisites

To achieve the learning objectives of the subject, knowledge and skills that are supposed to be guaranteed in the pre-university education are required. In particular, knowledge of basic geometry and trigonometry, elementary mathematical operations (powers, logarithms, fractions), polynomials, matrices, derivation, integration and fundamentals of graphical representation of functions are necessary.

 

With regard to basic skills in the handling of instruments is the elementary management of computers: access, file and directories management, etc.

3. Justification in the curriculum, relation to other subjects and to the profession

In this subject, mathematical and computer concepts are studied, which constitute an essential part of the training of a future engineer.

Concepts related to vector spaces, matrix calculation, systems of linear equations, real functions of real variable (continuity, derivability, integration), sequences, expansion of a function into power series, which are basic for various subjects throughout the career, are studied. : Mathematical Instruments for Engineering II, Fundamentals of Physics, Mechanics of Rigid Solid, Differential Equations, Resistance of Materials, Hydraulic Engineering, Calculation of Structures, etc.


4. Degree competences achieved in this course
Course competences
Code Description
CE01 Students can apply their knowledge in the practical solution of civil engineering problems, with capacity for the analysis and definition of the problem, the proposal of alternatives and their critical evaluation, choosing the optimal solution with technical arguments and with capacity of defense against third parties.
CE02 Students have the ability to broaden their knowledge and solve problems in new or unfamiliar environments within broader (or multidisciplinary) contexts related to their area of study. Self-study ability, to undertake further studies with a high degree of autonomy
CE04 Students have the ability to solve mathematical problems that may arise in engineering. Ability to apply knowledge of: linear algebra; geometry; differential geometry; differential and integral calculus; differential and partial derivative equations; numerical methods; numerical algorithms; statistics and optimization.
CE06 Students have a basic knowledge of the use and programming of computers, operating systems, databases and software with engineering application.
CG01 Students achieve general knowledge of Information and Communication Technologies (ICT).
5. Objectives or Learning Outcomes
Course learning outcomes
Description
Students know how functions and data are approximated by means of power and Fourier series expansions and their applications.
Students can handle functions of one and several variables including their derivation, integration and graphic representation. They know the fundamentals and applications of Differential and Integral Calculus.
Students are familiar with computer use: operative systems, databases, programming languages, and software applied to civil engineering.
Students are able to express correctly both orally and in writing and, in particular, they can use the language of mathematics as a way of expressing accurately the quantities and operations in civil engineering. Students get used to teamwork and behave respectfully.
Students use mathematical and computer tools to pose and solve civil engineering problems.
Students can handle and perform elementary operations with real and complex numbers.
Students know the fundamentals and applications of Linear Algebra: matrix theory, systems of equations and linear applications.
Additional outcomes
Not established.
6. Units / Contents
  • Unit 1: Linear Algebra
    • Unit 1.1: Vector spaces: Spaces and subespaces. Euclidean space. Linear combinations. Basis and dimension. Coordinates. Sum of subespaces. Change of basis.
    • Unit 1.2: Inner product spaces: Distance. Metric spaces. Normed spaces. Orthogonal sets.
    • Unit 1.3: Matrices: Operations. Inverse. Rank. Determinant. Decomposition. Intersection of subspaces.
    • Unit 1.4: Systems of Linear Equations: Compatibility. Transformations. Gaussian elimination method. Resolution. Equivalence of linear system equations. Resolution in a set of selected variables. Resolution of a modified system. Applications: Water supply networks, structures, transportation problem, planning and production problem, etc.
    • Unit 1.5: Linear Transformations: Matrix representation. Change of basis. Invariant subspaces. Operations. Diagonalization. Eigenvalues and eigenvectors.
    • Unit 1.6: Bilinear and Quadratic Forms: Bilinear Forms. Matrix representation of a bilinear form. Quadratic forms. Diagonalization of a quadratic form. Applications.
    • Unit 1.7: Cones: Convex sets. Types of linear combinations. The Gamma Algorithm. Solutions of a modified system.
    • Unit 1.8: Polytopes and Polyhedra: Polytope. Polyhedra. Intersections.
    • Unit 1.9: Systems of Linear Inequalities: Compatibility of a system of linear inequalities. Resolution. Applications.
  • Unit 2: Calculus
    • Unit 2.1: Real numbers. Introduction. The set of natural numbers N. Operations with natural numbers. The set of integer numbers Z. Operations with integer numbers. The set of rational numbers Q. Operations with rational numbers. The set of real numbers R. Operations with real numbers.
    • Unit 2.2: Complex numbers. Introduction. Complex numbers. Operations with complex numbers: addition and product of complex numbers, root of a complex number, natural logarithm and power of a complex number. Application of complex numbers to geometric transformations: translation, rotation, homotecy, product of homotecy by rotation, product of inversion by axial symmetry.
    • Unit 2.3: Sequences and Series of real numbers. Introduction. Sequences of real numbers, definition. Limit of a sequence of real numbers. Theorems about sequence limits. Practical calculation of limits. Equivalent infinitesimals and infinites. Series of real numbers, definition. Convergence of a serie. Remainder of a serie. Properties of series. Geometrical series. Divergence criteria. Positive terms series: comparison tests, integral test, p-series, ratio and root test. Alternating series. Leibniz criterion. Series of any terms. Conditional and absolute convergence.
    • Unit 2.4: Real functions of real variable. Concept of function. Limit of functions. Function continuity. Differentiability of a function. Differentiation techniques. Differentials and approximation by the tangent. Local behaviour of differentiable functions. Increase and decrease. Concave and convex functions. Study of the variation of a function. Local and global maxima and minima. Applications.Graphic representation of functions.
    • Unit 2.5: Power series, Taylor and MacLaurin. Sequences and functional series.Concept of power series. Convergence of a power series. Expansion of a function into power series. Taylor and MacLaurin series.
    • Unit 2.6: Definite integrals and their properties. Concept of definite integral. Geometric representation. Definite integrals properties. Indefinite integrals, definition. The fundamental theorem of calculus. Special integration methods: by parts, rational functions, substitution, irrational, transcendent. Improper integrals, generalization of the integral concept. Parametric and Eulerian integrals. Applications to the calculation of plane areas, curve length, area and volume of a surface of revolution.
7. Activities, Units/Modules and Methodology
Training Activity Methodology Related Competences (only degrees before RD 822/2021) ECTS Hours As Com Description
Class Attendance (theory) [ON-SITE] Lectures CE01 CE02 CE04 CG01 1.12 28 N N
Class Attendance (practical) [ON-SITE] Problem solving and exercises CE01 CE02 CE04 CG01 0.78 19.5 N N
Problem solving and/or case studies [ON-SITE] Problem solving and exercises CE01 CE04 CE06 CG01 0.08 2 Y N
Progress test [ON-SITE] Assessment tests CE01 CE02 CE04 CG01 0.16 4 Y N
Final test [ON-SITE] Assessment tests CE01 CE02 CE04 0.18 4.5 Y Y
Study and Exam Preparation [OFF-SITE] Combination of methods CE01 CE02 CE04 CE06 CG01 3.6 90 N N
Group tutoring sessions [ON-SITE] Problem solving and exercises CE01 CE02 CE04 CE06 0.04 1 N N
Individual tutoring sessions [ON-SITE] Problem solving and exercises CE01 CE02 CE04 CE06 0.04 1 N N
Total: 6 150
Total credits of in-class work: 2.4 Total class time hours: 60
Total credits of out of class work: 3.6 Total hours of out of class work: 90

As: Assessable training activity
Com: Training activity of compulsory overcoming (It will be essential to overcome both continuous and non-continuous assessment).

8. Evaluation criteria and Grading System
Evaluation System Continuous assessment Non-continuous evaluation * Description
Final test 60.00% 100.00% The test includes the partial examinations and the ordinary / extraordinary examinations
Other methods of assessment 40.00% 0.00% Includes resolution of problems or cases. Includes progress tests.
Total: 100.00% 100.00%  
According to art. 4 of the UCLM Student Evaluation Regulations, it must be provided to students who cannot regularly attend face-to-face training activities the passing of the subject, having the right (art. 12.2) to be globally graded, in 2 annual calls per subject , an ordinary and an extraordinary one (evaluating 100% of the competences).

Evaluation criteria for the final exam:
  • Continuous assessment:
    The evaluation is made up of 3 partials, each one evaluated by means of 60%- exam grade and 40% -problem solving and/or progress tests grade (average grades). The minimum mark required in the partial exams is 4 out of 10. The minimum mark to pass the ordinary call is 5 out of 10, mark which is obtained as the mean of the 3 partials. The partial exams with a minimum mark of 4 are kept for the ordinary and extraordinary sessions. The note in resolution of problems or cases is saved for the ordinary and extraordinary calls.

    All the assessable activities that have been carried out during the course are recovered.
    Grades are not saved from previous courses.
  • Non-continuous evaluation:
    The student will have to do a global exam that will include all the course and competences content. To pass the course, the student must obtain at least a 5 out of 10, which will constitute 100% of his/her grade.
    Unless stated otherwise, continuous evaluation criteria will be applied to all students.
    Grades are not saved from previous courses.


    Anyone choosing non-continuous assessment must notify it to the lecturer within the class period of the subject. The option is only available if the student¿s participation in evaluation activities (from the continuous assessment) has not reached 50% of the total evaluation for the subject.

    For the retake exam, the assessment type used for the final exam will remain valid.

Specifications for the resit/retake exam:
Same that in final exam.
Specifications for the second resit / retake exam:
The student will have to do a global exam that will include all the course and competences content. To pass the course, the student must obtain at least a 5 out of 10, which will constitute 100% of his/her grade.
Grades are not saved from previous courses.
9. Assignments, course calendar and important dates
Not related to the syllabus/contents
Hours hours
Group tutoring sessions [PRESENCIAL][Problem solving and exercises] 1
Individual tutoring sessions [PRESENCIAL][Problem solving and exercises] 1

Unit 1 (de 2): Linear Algebra
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 15
Class Attendance (practical) [PRESENCIAL][Problem solving and exercises] 12
Progress test [PRESENCIAL][Assessment tests] 4
Final test [PRESENCIAL][Assessment tests] 3

Unit 2 (de 2): Calculus
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 13
Class Attendance (practical) [PRESENCIAL][Problem solving and exercises] 7.5
Problem solving and/or case studies [PRESENCIAL][Problem solving and exercises] 2
Final test [PRESENCIAL][Assessment tests] 1.5

Global activity
Activities hours
10. Bibliography and Sources
Author(s) Title Book/Journal Citv Publishing house ISBN Year Description Link Catálogo biblioteca
Abaurrea, R. B. Cálculo Infinitesimal e Integral Litoprint 1997  
Apostol, Tom M. Calculus volúmen I : cálculo con funciones de una variable, Reverté 84-291-5002-1 2006 Ficha de la biblioteca
Aranda E., Ureña F. Problemas de cálculo de una variable. Bubok Publishing 978-84-92580-05-7 2008 Ficha de la biblioteca
Ayres, Frank, Jr. Calculo diferencial e integral McGraw-Hill 84-7615-560-3 1992 Ficha de la biblioteca
Bradley, Gerald L. Cálculo de una variable Prentice Hall 84-8322-041-5 (Obra 2001 Ficha de la biblioteca
Burgos Román, Juan de Cálculo diferencial : (una y varias variables) : 126 problem García-Maroto 978-84-937509-0-9 2010 Ficha de la biblioteca
Burgos Román, Juan de Algebra lineal McGraw-Hill 84-481-0134-0 1993 Ficha de la biblioteca
Castillo E, Cobo A., Jubete F. Pruneda RE Orthogonal Sets and Polar Methods in Linear Algebra: Applications to Matrix Calculations, Systems of Equations and Inequalities, and Linear Programming John Wiley and Sons 0-471-32889-8 1999 Ficha de la biblioteca
Castillo E, Cobo A., Jubete F., Pruneda RE., Castillo C. An Orthogonally Based Pivoting Transformation of Matrices and Some Applications 2000  
Castillo E., Conejo A., Pedregal P., García R., Alguacil N. Building and Solving Mathematical Programming Models in Engineering and Science. Pure and Applied Mathematics: A Wiley-Interscience Series of Texts, Monographs and Tracts 0-471-15043-6 2001  
Castillo E., Jubete F. The Gamma-algorithm and some applications 2004  
Castillo E., Jubete F., Pruneda RE., Solares C. Obtaining simultaneous solutions of linear subsystems of equations and inequalities 2002  
Castillo, Enrique; Conejo, Antonio; Pedregal, Pablo; García, R; Alguacil, N; Building and Solving Mathematical Programming Models in Engineering and Science Pure and Applied Mathematics: A Wiley-Interscience Series of Texts, Monographs and Tracts 0-471-15043-6 2001  
Conejo, Antonio; Castillo, Enrique; Mínguez, Roberto; García-Bertrand, Raquel Decomposition Techniques in Mathematical Programming, Engineering and Science Applications Springer 978-3-540-27685-2 2006  
Coquillat, F. (Fernando Coquillat Durán) Cálculo integral : metodología y problemas Tébar Flores 84-7360-168-8 1997 Ficha de la biblioteca
Franco Brañas, José Ramón Cálculo I Dirección General de Universidades e Investigac 84-699-4088-0 2001 Ficha de la biblioteca
García López, A.; García Mazarío, F.; López de la Rica,A.; Rodríguez Sánchez, G.; de la Villa Cuenca, A. Cálculo I : Teoría y Problemas de Análisis Matemático en una Variable CLAGSA 978-84-921847-2-9 2011 Ficha de la biblioteca
Granero Rodríguez, Francisco Cálculo infinitesimal : una y varias variables McGraw-Hill 84-481-1740-9 1995 Ficha de la biblioteca
Granero Rodríguez, Francisco Cálculo integral y aplicaciones Prentice Hall 84-205-3223-1 2001 Ficha de la biblioteca
Granero Rodríguez, Francisco Ejercicios y problemas de calculo Tebar Flores 84-7360-109-2 1991 Ficha de la biblioteca
Herrero, Henar Informática aplicada a las ciencias y a la ingeniería con Ma E. T. S. Ingenieros IndustrialesLibrería-Papelería 84-699-3109-1 2009 Ficha de la biblioteca
Hill, Richard Álgebra Lineal Elemental Prentice Hall 978-968-880962-4 1997  
Larson, R.E., Hostetler, R.P. Cálculo y geometría analítica McGraw-Hill de España 84-7615-240-X 1989 Ficha de la biblioteca
Larson, R; Edwards, B.H.; Falvo, D.C. Algebra Lineal Pirámide 2004  
Larson, Ron y Edwards, Bruce H. Cálculo 1 de Una Variable McGraw-Hill/Interamericana Editores 978-607-15-0273-5 2010 Ficha de la biblioteca
Larson, Ron1941- Cálculo I Pirámide 84-368-1707-9 (v. 1) 2003 Ficha de la biblioteca
Lipschutz, Seymour Algebra lineal McGraw-Hill 84-7615-758-4 2003 Ficha de la biblioteca
Losada Rodríguez, Ramón Análisis matemático Pirámide 84-368-0096-6 1981 Ficha de la biblioteca
Maron, I.A. Problemas sobre calculo de una variable : (elementos y teori Paraninfo 84-283-0706-7 1975 Ficha de la biblioteca
Pérez, CésarPérez López Matlab y sus aplicaciones en las ciencias y la ingeniería Pearson Educación 84-205-3537-0 2007 Ficha de la biblioteca
Spiegel, Murray R. Cálculo superior McGraw-Hill 970-10-0065-X 1993 Ficha de la biblioteca
Stewart, James (1941-) Cálculo de una variable : Trascendentes tempranas International Thomson 970-686-069-X 2001 Ficha de la biblioteca
Suárez Rodríguez, María del Carmen Cálculo integral y aplicaciones con Matlab Pearson 84-205-4215-6 2004 Ficha de la biblioteca
Thomas, George B Cálculo de Una Variable Addison-Wesley 978-607-32-0164-3 2010  
de Burgos Román, Juan Test y Problemas de Cálculo de Una Variable García-Maroto Editores 978-84-15214-47-2 2011  



Web mantenido y actualizado por el Servicio de informática