Guías Docentes Electrónicas
1. General information
Course:
MATHEMATICS FOR BUSINESS I
Code:
54304
Type:
BASIC
ECTS credits:
6
Degree:
317 - UNDERGRADUATE DEGREE IN BUSINESS MANAGEMENT AND ADMINISTRATION (AB)
Academic year:
2022-23
Center:
5 - FACULTY OF ECONOMICS AND BUSINESS
Group(s):
12  13 
Year:
1
Duration:
First semester
Main language:
Spanish
Second language:
Use of additional languages:
English Friendly:
Y
Web site:
Bilingual:
N
Lecturer: MARIA DE LA O GONZALEZ PEREZ - Group(s): 12  13 
Building/Office
Department
Phone number
Email
Office hours
Melchor de Macanaz/3.12
ANÁLISIS ECONÓMICO Y FINANZAS
926053467
mariao.gonzalez@uclm.es

2. Pre-Requisites

In general, the knowledge that is required to successful follow a course in maths relates with the basic algebraic properties of polynomials, logarithms and solving linear equations.  It is relevant a basic use of derivatives, including the standard techniques (sums, products and chain rule). Finally, it is also important to know the basic techniques for function representations and in particular the representation of the main functions

 

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

The courses in maths in this degree, provide with formal methods to other courses in the degree, like Statistics, Economy and Finance.

In relation with professional skills, the main goal of the course is to introduce, from a mathematical perspective, the models and methods of quantitative analysis, including methods for decision making.


4. Degree competences achieved in this course
Course competences
Code Description
E07 Understand the economic environment as a result and application of theoretical or formal representations on how the economy works. To do so, it will be necessary to be able to understand and use common handbooks, as well as articles and, in general, leading edge bibliography in the core subjects of the curriculum.
E11 Know the workings and consequences of the different economic systems
G01 Possession of the skills needed for continuous, self-led, independent learning, which will allow students to develop the learning abilities needed to undertake further study with a high degree of independence.
5. Objectives or Learning Outcomes
Course learning outcomes
Description
Know the tools and methods for the quantitative analysis of the company and its environment, including models for business decision making as well as economic forecast models.
Work out problems in creative and innovative ways.
Additional outcomes
Description
6. Units / Contents
  • Unit 1: Basic Elements of Linear Algebra
  • Unit 2: Vector Space Rn
  • Unit 3: Linear applications and associated matrices
  • Unit 4: Matrix diagonalization
  • Unit 5: Quadratic forms
  • Unit 6: Real numbers. Sequences and Series
  • Unit 7: Real functions of a real variable
ADDITIONAL COMMENTS, REMARKS

This subject, Matemáticas I para la Empresa, consists of 5 units of Linear Algebra (Units 1-5) and 2 units of one-variable Calculus (Units 6 and 7)


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 E07 E11 1.33 33.25 N N
Class Attendance (practical) [ON-SITE] Problem solving and exercises E07 E11 G01 0.67 16.75 N N
Other on-site activities [ON-SITE] Assessment tests E07 E11 G01 0.1 2.5 Y Y
Progress test [ON-SITE] Assessment tests E07 G01 0.1 2.5 Y Y
Final test [ON-SITE] Assessment tests E07 G01 0.1 2.5 Y Y
Other off-site activity [OFF-SITE] Problem solving and exercises G01 0.2 5 N N
Study and Exam Preparation [OFF-SITE] Self-study E07 E11 G01 1.4 35 N N
Group tutoring sessions [ON-SITE] Group tutoring sessions E07 E11 G01 0.1 2.5 N N
Other off-site activity [OFF-SITE] Self-study E07 G01 2 50 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
Other methods of assessment 20.00% 0.00%
Test 80.00% 100.00%
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:
    The subject follows an evaluation system based on the assessment of various training activities and an exam. The student is required to obtain at least a 4 (out of 10) in the final evaluation test to make an average with the grade obtained in the rest of the proposed training activities. Any student may change to the non-continuous assessment mode as long as they have not participated during the class teaching period in assessable activities that together account for at least 50% of the total assessment of the subject and, in that case, they must communicate it before the end of the class period.

    Regarding the evaluation in case of illness or other special circumstances (mitigating rules), see article 6 of the Student Evaluation Regulation of the University of Castilla-La Mancha.
  • Non-continuous evaluation:
    The evaluation will be carried out with a final test that will include the specific tests that are considered necessary to evaluate all the competencies of the subject.

    Regarding the evaluation in case of illness or other special circumstances (mitigating rules), see article 6 of the Student Evaluation Regulation of the University of Castilla-La Mancha.

Specifications for the resit/retake exam:
Final exam 100% of the subject
Specifications for the second resit / retake exam:
The evaluation will be carried out on a single written exam, being necessary to pass the subject a minimum score of 5 out of 10.
9. Assignments, course calendar and important dates
Not related to the syllabus/contents
Hours hours

Unit 1 (de 7): Basic Elements of Linear Algebra
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 33.25
Class Attendance (practical) [PRESENCIAL][Problem solving and exercises] 16.75
Other on-site activities [PRESENCIAL][Assessment tests] 2.5
Progress test [PRESENCIAL][Assessment tests] 2.5
Final test [PRESENCIAL][Assessment tests] 2.5
Other off-site activity [AUTÓNOMA][Problem solving and exercises] 5
Study and Exam Preparation [AUTÓNOMA][Self-study] 35
Group tutoring sessions [PRESENCIAL][Group tutoring sessions] 2.5
Other off-site activity [AUTÓNOMA][Self-study] 50

Global activity
Activities hours
10. Bibliography and Sources
Author(s) Title Book/Journal Citv Publishing house ISBN Year Description Link Catálogo biblioteca
 
Anton, H. Introducción al álgebra lineal Limusa. 978-968-18-6 2010  
Arvesú, J.; Marcellán, F.; y Sánchez, J Problemas resueltos de álgebra lineal. THOMSON. 2005  
Barbolla, R. Y Sanz, P Algebra lineal y teoría de matrices PRENTICE HALL 1998  
Blanco García, S.; García Pineda, P. Y Pozo García, E. Del Matemáticas empresariales I. Enfoque teórico y práctico. Vol 2. Cálculo Madrid AC 84-9732-172-3 2002 Ficha de la biblioteca
Blanco García, S.; García Pineda, P. Y Pozo García, E. Del. Matemáticas empresariales I. Enfoque teórico y práctico. Vol I. Álgebra lineal Madrid AC 84-9732-171-5 2002 Ficha de la biblioteca
Bradley, G. L. y Smith, K. J. Cálculo en una variable PRENTICE HALL 1998  
Burgos Román, J Álgebra lineal McGraw-Hill 84-481-0134-0 1997  
Calvo, M. E. y otros Problemas resueltos de matemáticas aplicadas a la economía y la empresa AC 2003  
Cancelo, J. R., López Ortega, J. Y Otros Problemas de álgebra lineal para economistas Tebar Flores 1995  
Chiang, A.C. y Wainwright, K. Fundamental methods of mathematical economics Ed. McGraw-Hill International Edition 2005  
Cámara Sánchez, A. Problemas resueltos de matemáticas para economía y empresa Thomson AC 978-84-9732-170-9 2007 Ficha de la biblioteca
Friedberg, S. H; Insel, A. J. and Spence, L. E Linear Algebra Prentice Hall 0-13-120266-9 2003 Ficha de la biblioteca
Fuente, A Mathematical methods and models for economists Cambridge University Press 2000  
García, A., García, F. y A. Gutiérrez Cálculo I. Teoría y Problemas de Análisis Matemático en una Variable CLAGSA 1998  
Gutiérrez, S Álgebra Lineal para la Economía AC 2002  
Jarne, G. ; Perez-Grasa, I. ; Miguillón, E. Matemáticas para la economía: álgebra lineal y cálculo diferencial McGraw-Hill 84-481-1197-4 2004  
López, M. y Vegas, A Curso básico de matemáticas para la economía y la dirección de empresas I Pirámide. 2001  
Stewart, J Cálculo en una variable THOMSON 2001  
Strang, G. Introduction to Linear Algebra Wellesley-Cambridge Press 978-0-9802327-7-6 2016 Ficha de la biblioteca
Sydsaeter, K. Matemáticas para el análisis económico Prentice Hall 0-13-240615-2 2006  
Vignerón Tenorio A. y Beato Sirvent, J. Matemáticas básicas para la Economía y la Empresa Servicio de publicaciones Universidad de Cádiz 2006  



Web mantenido y actualizado por el Servicio de informática