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
Academic year:
2019-20
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 ELISA AMO SAUS - Group(s): 12  13 
Building/Office
Department
Phone number
Email
Office hours
Melchor de Macanaz/3.05
ANÁLISIS ECONÓMICO Y FINANZAS
926053077
elisa.amo@uclm.es
Ver web de la Facultad o página Moodle de la asignatura.

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
Ver web de la Facultad o página Moodle de la asignatura.

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
Work out problems in creative and innovative ways.
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.
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 R Description *
Class Attendance (theory) [ON-SITE] Lectures E07 E11 1.33 33.25 N N N
Class Attendance (practical) [ON-SITE] Problem solving and exercises E07 E11 G01 0.67 16.75 N N N
Other on-site activities [ON-SITE] Assessment tests E07 E11 G01 0.1 2.5 Y N N
Progress test [ON-SITE] Assessment tests E07 G01 0.1 2.5 Y N Y
Final test [ON-SITE] Assessment tests E07 G01 0.1 2.5 Y Y Y
Other off-site activity [OFF-SITE] Problem solving and exercises G01 0.2 5 N N N
Study and Exam Preparation [OFF-SITE] Self-study E07 E11 G01 1.4 35 N N N
Group tutoring sessions [ON-SITE] Group tutoring sessions E07 E11 G01 0.1 2.5 N N N
Other off-site activity [OFF-SITE] Self-study E07 G01 2 50 N 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
R: Rescheduling training activity

8. Evaluation criteria and Grading System
  Grading System  
Evaluation System Face-to-Face Self-Study Student Description
Other methods of assessment 10.00% 0.00%
Progress Tests 10.00% 0.00%
Final test 80.00% 0.00%
Total: 100.00% 0.00%  

Evaluation criteria for the final exam:
Final exam: This test evaluates all units in the course and contributes with a weight of 80% to the final qualification (the minimum required to pass the evaluation is 40%).
Progress test: This test evaluates the units 1-5 and contributes with a 10% to the final qualification.
Other evaluation activities: Self-evaluations and group activities contribute with a 10% weight to the final qualification.
Specifications for the resit/retake exam:
Resit/retake exam: It will consist in a test evaluating all units in the course and will contribute with 90% of the weight (the rest 10% is taken from the qualifications in the ¿Other evaluation activities¿ during the regular teaching period).
Specifications for the second resit / retake exam:
Second Resit/retake exam (just at the end of the Degree): It will consist in a test evaluating all units in the course and will contribute with 100% of the weight.
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