Guías Docentes Electrónicas
1. General information
Course:
ALGEBRA
Code:
56300
Type:
BASIC
ECTS credits:
6
Degree:
357 - UNDERGRADUATE DEGREE PROGRAMME IN ELECTRICAL ENGINEERING (TO)
Academic year:
2022-23
Center:
303 - E.DE INGENIERÍA INDUSTRIAL Y AEROESPOACIAL DE TOLEDO
Group(s):
40  41 
Year:
1
Duration:
First semester
Main language:
Spanish
Second language:
Use of additional languages:
English Friendly:
Y
Web site:
Bilingual:
N
Lecturer: MARIA FUENSANTA ANDRES ABELLAN - Group(s): 40 
Building/Office
Department
Phone number
Email
Office hours
Edificio Sabatini / 1.48
MATEMÁTICAS
926051536
fuensanta.andres@uclm.es

Lecturer: DAMIAN CASTAÑO TORRIJOS - Group(s): 40 
Building/Office
Department
Phone number
Email
Office hours
Edificio Sabatini / 1.53
MATEMÁTICAS
926051463
Damian.Castano@uclm.es

Lecturer: JESÚS CASTELLANOS PARRA - Group(s): 40 
Building/Office
Department
Phone number
Email
Office hours
Edificio Sabatini / 1.55
MATEMÁTICAS
926051598
Jesus.Castellanos@uclm.es

Lecturer: JESUS ROSADO LINARES - Group(s): 40 
Building/Office
Department
Phone number
Email
Office hours
Edificio Sabatini / 1.53
MATEMÁTICAS
926051603
Jesus.Rosado@uclm.es

Lecturer: DAVID RUIZ GRACIA - Group(s): 40 
Building/Office
Department
Phone number
Email
Office hours
Edificio Sabatini / 1.53
MATEMÁTICAS
926051469
David.Ruiz@uclm.es

2. Pre-Requisites
Not established
3. Justification in the curriculum, relation to other subjects and to the profession
Not established
4. Degree competences achieved in this course
Course competences
Code Description
A01 To understand and have knowledge in an area of study that moves on from the general education attained at secondary level and usually found at a level that, while supported in advanced text books, also includes some aspects that include knowledge found at the cutting edge of the field of study.
A02 To know how to apply knowledge to work or vocation in a professional manner and possess the competences that are usually demonstrated by the formulation and defence of arguments and the resolution of problems in the field of study.
A03 To have the capability to gather and interpret relevant data (normally within the area of study) to make judgements that include a reflection on themes of a social, scientific or ethical nature.
A07 Knowledge of Information Technology and Communication (ITC).
A08 Appropriate level of oral and written communication.
A12 Knowledge of basic materials and technologies that assist the learning of new methods and theories and enable versatility to adapt to new situations.
A13 Ability to take the initiative to solve problems, take decisions, creativity, critical reasoning and ability to communicate and transmit knowledge, skills and abilities in Electrical Engineering.
A17 Ability to apply principles and methods of quality control.
B01 Ability to solve mathematical problems that occur in engineering. Aptitude to apply knowledge of: linear algebra; geometry; differential geometry; differential and integral calculus; differential and partial differential equations; numerical methods; numerical algorithms; statistics and optimization.
5. Objectives or Learning Outcomes
Course learning outcomes
Description
To know how to use and carry out elementary operations with complex numbers.
Be able to express yourself correctly both orally and in writing, and, in particular, to know how to use mathematical language to express with precision quantities and operations that appear in industrial engineering. Become accustomed to working in a team and behaving respectfully.
To know the theory of matrices and determinants and to know how to carry out the corresponding calculations. Know the fundamentals and applications of Lineal Algebra and Euclidean Geometry
Additional outcomes
Description
6. Units / Contents
  • Unit 1:
  • Unit 2:
  • Unit 3:
  • Unit 4:
  • Unit 5:
  • Unit 6:
  • Unit 7:
  • Unit 8:
  • Unit 9:
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 A01 A08 A12 B01 1 25 N N
Class Attendance (practical) [ON-SITE] Problem solving and exercises A02 A08 A13 A17 B01 0.6 15 N N
Computer room practice [ON-SITE] Problem solving and exercises A02 A07 A08 A13 A17 B01 0.48 12 N N
Individual tutoring sessions [ON-SITE] Guided or supervised work A02 A08 0.08 2 N N
Study and Exam Preparation [OFF-SITE] Self-study A01 A02 A03 A12 A13 B01 3.6 90 N N
Progress test [ON-SITE] Assessment tests A01 A02 A03 A07 A08 A12 A13 A17 B01 0.12 3 Y N
Final test [ON-SITE] Assessment tests A01 A02 A03 A07 A08 A12 A13 A17 B01 0.12 3 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
Progress Tests 0.00% 10.00%
Final test 0.00% 90.00%
Total: 0.00% 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

10. Bibliography and Sources
Author(s) Title Book/Journal Citv Publishing house ISBN Year Description Link Catálogo biblioteca
Arsevú, J y otros Problemas resueltos de álgebra lineal. Thomson 84-9732-284-3 2005 Libro de problemas recomendado  
Bretscher, O Linear Algebra with Applications, 5th Ed. Pearson 978-0321796943 2012  
Burgos, J de Algebra Lineal Mac Graw-Hill 84-481-0134-0 1993 Clara exposición teórica con una gran cantidad de ejemplos y problemas.  
Fernández, C y otros Ecuaciones diferenciales y en diferencias Thomson 84-9732-198-7 2003 Recomendado para el tema 9 Ficha de la biblioteca
Friedberg, S. H.; Insel, A. J.; Spence, L. E. Linear Algebra, 4th Ed. Pearson 978-0130084514 2003  
García,A y otros Cálculo CLAGSA Recomendado para el tema 1  
Kolman, B Algebra lineal con aplicaciones y Matlab Prentice Hall Bibliografía complementaria  
Larson y otros Algebra Lineal Pirámide 84-368-1878-4 2004 Bibliografía complementaria Ficha de la biblioteca
Merino, L. Santos E Algebra Lineal con Métodos Elementales Thomson 84-9732-481-1 2006 Interesante exposición teórica  
Rojo, J Algebra lineal. 2ª Edición Mac Graw-Hill 978-84-481-5635-0 2007 Bibliografía complementaria Ficha de la biblioteca
Rojo,J. Marín I Ejercicios y problemas de álgebra lineal Mac Graw-Hill 84-481-1889-8 1994 Bibliografía complementaria  
Villa, A de la Problemas de Algebra CLAGSA 84-605-0390-9 1998 Libro de problemas recomendado  



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