Guías Docentes Electrónicas
1. General information
Course:
ALGEBRA
Code:
56300
Type:
BASIC
ECTS credits:
6
Degree:
416 - UNDERGRADUATE DEGREE PROGRAMME IN INDUSTRIAL ELECTRONICS AND AUTOMATION ENG
Academic year:
2022-23
Center:
605 - SCHOOL OF INDUSTRIAL ENGINEERS. AB
Group(s):
14  15  16  11  12  13 
Year:
1
Duration:
First semester
Main language:
Spanish
Second language:
English
Use of additional languages:
English Friendly:
Y
Web site:
Bilingual:
N
Lecturer: ANTONIO MARTINEZ PLAZA - Group(s): 14  15  16 
Building/Office
Department
Phone number
Email
Office hours
INFANTE JUAN MANUEL/1B7
MATEMÁTICAS
2470
antonio.mplaza@uclm.es

2. Pre-Requisites

In order to achieve the learning objectives, the students should have the knowledge and skills that their previous education provides to their access to the University training:

- Knowledge: geometry, basic trigonometry, basic mathematical operations (power, logarithms, fractions, etc.), polinomials, matrices, derivation, integration and graphical

representation of elementary functions.

- Basic skills in the managment of instrumentation: elementary use of computers and mathematical software.

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

Industrial engineers are professionals who use knowledge of physical and mathematical sciences and engineering techniques to develop his professional activity in aspects such as control, instrumentation an automation of processes and equipment, as well as design, construction, operation and maintenance of industrial products. This training allows them to participate succesfully in the different branches integrated in industrial engineering, such as mechanics, electricity, electronics, etc. It also make them adopt the changes of technologies in these areas, where appropriate, to respond to the needs that arise in the productive branches and services, so achieving the welfare of society.

Within the mathematical knowledge, the methods developed in the course of Algebra have revealed as the most adequate for the modern treatment of many disciplines including in the curriculum. Such disciplines will allow industrial engineers to face real problems that they can find at work.

Therefore, this subject is an essential part of the basic training of future engineers. Its main purpose is to provide students the algebraic and geometric resources to solve problems concerning maths and engineering. In this sense, this subject will help them to enhance the capacities of abstraction, understanding, analysis, implementation and synthesis that are common in mathematics and neccesary to any other scientific discipline or branch of engineering.


4. Degree competences achieved in this course
Course competences
Code Description
CB02 Apply their knowledge to their job or vocation in a professional manner and show that they have the competences to construct and justify arguments and solve problems within their subject area.
CB03 Be able to gather and process relevant information (usually within their subject area) to give opinions, including reflections on relevant social, scientific or ethical issues.
CB04 Transmit information, ideas, problems and solutions for both specialist and non-specialist audiences.
CB05 Have developed the necessary learning abilities to carry on studying autonomously
CEB01 Ability to solve mathematical problems that may arise in engineering. Ability to apply knowledge of linear algebra; geometry, differential geometry, differential and partial differential equations, numerical methods, numerical algorithms, statistics and optimisation.
CG03 Knowledge of basic and technological subjects to facilitate learning of new methods and theories, and provide versatility to adapt to new situations.
CG04 Ability to solve problems with initiative, decision-making, creativity, critical reasoning and to communicate and transmit knowledge, skills and abilities in the field of industrial engineering.
CT02 Knowledge and application of information and communication technology.
CT03 Ability to communicate correctly in both spoken and written form.
5. Objectives or Learning Outcomes
Course learning outcomes
Description
Ability to express oneself correctly orally and in writing and, in particular ability to use the language of mathematics as a way of accurately expressing the quantities and operations that appear in industrial engineering. Acquired habits of working in a team and behaving respectfully.
Ability to manage and perform elementary operations with complex numbers
Knowledge of the theory of matrices and determinants and ability to carry out the corresponding calculations. Knowledge of the fundamentals and applications of linear algebra and Euclidean geometry.
Additional outcomes
Not established.
6. Units / Contents
  • Unit 1: COMPLEX NUMBERS
  • Unit 2: MATRICES AND DETERMINANTS
  • Unit 3: SYSTEMS OF LINEAR EQUATIONS
  • Unit 4: VECTOR SPACES
  • Unit 5: LINEAR MAPS
  • Unit 6: DIAGONALIZATION
  • Unit 7: EUCLIDEAN SPACES AND ORTHOGONAL TRANSFORMATIONS
  • Unit 8: GEOMETRY. AFFINE SPACES
  • Unit 9: DIFFERENCE EQUATIONS
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 CB02 CB03 CB04 CB05 CEB01 CG03 CT03 1.2 30 Y N
Problem solving and/or case studies [ON-SITE] Problem solving and exercises CB02 CB03 CB04 CEB01 CG04 0.6 15 Y N
Computer room practice [ON-SITE] Practical or hands-on activities CB05 CEB01 CG03 CT02 0.4 10 Y N
Study and Exam Preparation [OFF-SITE] Self-study CB02 CB03 CB04 CB05 CEB01 CG03 CG04 CT02 CT03 3.6 90 Y N
Formative Assessment [ON-SITE] Assessment tests CB02 CB03 CB04 CEB01 CG03 CG04 CT03 0.2 5 Y Y
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 70.00% 90.00%
Assessment of activities done in the computer labs 10.00% 10.00%
Projects 20.00% 0.00%
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:
    Evaluation criteria not defined
  • Non-continuous evaluation:
    Evaluation criteria not defined

Specifications for the resit/retake exam:
Evaluation criteria not defined
Specifications for the second resit / retake exam:
Evaluation criteria not defined
9. Assignments, course calendar and important dates
Not related to the syllabus/contents
Hours hours
Class Attendance (theory) [PRESENCIAL][Lectures] 30
Problem solving and/or case studies [PRESENCIAL][Problem solving and exercises] 15
Computer room practice [PRESENCIAL][Practical or hands-on activities] 10
Study and Exam Preparation [AUTÓNOMA][Self-study] 90
Formative Assessment [PRESENCIAL][Assessment tests] 2.5

Global activity
Activities hours
10. Bibliography and Sources
Author(s) Title Book/Journal Citv Publishing house ISBN Year Description Link Catálogo biblioteca
 
 
 
ALEDO, J.A., PENABAD, J. VALVERDE, J.C., VILLAVERDE, J.J. Ejercicios de álgebra y matemática discreta II Alpeviva 84-931862-1-X (v.II) 2001 Ficha de la biblioteca
ALEDO, J.A., PENABAD, J. VALVERDE, J.C., VILLAVERDE, J.J. Álgebra y matemática discreta Alpeviva 84-931862-2-8 2002 Ficha de la biblioteca
ANZOLA M., CARUNCHO, J., PÉREZ CANALES, G. Problemas de Álgebra.Tomo 3. Espacios Vectoriales Primer Ciclo 843004230X 1981  
ANZOLA M., CARUNCHO, J., PÉREZ CANALES, G. Problemas de Álgebra.Tomo 6. Geometría Afín y Euclídea Primer Ciclo 8430052461 1981  
BURGOS, J. de Álgebra Lineal y Geometría Cartesiana McGraw Hill 978-84-481-4900-0 2010  
E, Aranda Algebra Lineal con aplicaciones y Python Lulú 2019  
E. Hernández Algebra y Geometría Addison-Wesley 1994  
Fernández, C., Vázquez, F.C. y Vegas, J.M. Ecuaciones diferenciales y en diferencias Madrid Paraninfo 2003  
GARCÍA CABELLO, J. Álgebra lineal: sus aplicaciones en Economía, Ingeniería y otras Ciencias. Delta Publicaciones 84-96477-12-6 2006  
GARCÍA, J.; LOPEZ PELLICER, M. Álgebra Lineal y Geometría Ed. Marfil 8426802699 1992  
GARCÍA, J.; LOPEZ PELLICER, M. Álgebra Lineal y Geometría. Ejercicios Ed. Marfil 8426804047 1991  
Garcia, S.R. y Horn, R.A. A Second Course in Linear Algebra Cambridge Cambridge University Press 2017  
HERNÁNDEZ RODRÍGUEZ, E., VÁZQUEZ GALLO, MJ, ZURRO MORO, M.A. Álgebra lineal y Geometría, 3ed Pearson Universidad 9788478291298 2012  
J. Belmonte Beitia Problemas resueltos de Algebra Lineal con aplicaciones. Lulú 2020  
KEICH NICHOLSON, K Álgebra Lineal con aplicaciones McGraw Hill 84-486-3789-2 2003  
LAY, D. C. Álgebra Lineal y sus aplicaciones Prentice Hall 970-26-0080-4 2001  
Larson, R., Edwards, B.H. y Falvo, D.C., Algebra Lineal, 5ª edición Piramide 2004  
SERRANO, R. LOZANO, M. VILLAVERDE, J. MARTÍNEZ, A. Apuntes de álgebra Popular Libros 84-931937-8-X 2001 Ficha de la biblioteca
SERRANO, R. LOZANO, M. VILLAVERDE, J. MARTÍNEZ, A. Apuntes de álgebra : ejercicios Popular Libros 978-84-932498-7-8 2002 Ficha de la biblioteca
TORREGROSA, J. R., JORDAN, C. Teoría y problemas de álgebra lineal y sus aplicaciones McGraw Hill 9684222149 1991  
Tai-Ran Hsu APPLIED ENGINEERING ANALYSIS Book Hoboken, NJ JOHN WILEY 9781119071204 2018 It contains all the topics of the subjects related to Mathematics in the industrial Engineering degree  



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