Guías Docentes Electrónicas
1. General information
Course:
MATHEMATICS FOR BUSINESS II
Code:
54305
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:
C2
Main language:
Spanish
Second language:
Use of additional languages:
English Friendly:
Y
Web site:
Bilingual:
N
Lecturer: MARIA EMILIA GARCIA PEREZ - Group(s): 12  13 
Building/Office
Department
Phone number
Email
Office hours
Melchor de Macanaz/ 1.01
ANÁLISIS ECONÓMICO Y FINANZAS
2390
emi.garcia@uclm.es
comprobar en campus virtual

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 and non-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.

 

It is recommendable having taken the previous course “Matemáticas I para la empresa”  because several of the methods that are seen there will be used in this course.

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.
E13 Ability to make logical representative models of the business reality
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.
G04 Ability to use and develop information and communication technologies and to apply them to the corresponding business department by using specific programmes for these business areas.
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: The indefinite integral
  • Unit 2: The definite integral
  • Unit 3: Calculus for several variables
  • Unit 4: Multivariate integration
  • Unit 5: Introduction to the theory of optimization
  • Unit 6: Classical programming
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 E13 G01 G04 1.33 33.25 N N N
Class Attendance (practical) [ON-SITE] Problem solving and exercises E07 E13 G01 0.67 16.75 N N N
Other on-site activities [ON-SITE] Assessment tests E07 E13 G01 G04 0.1 2.5 Y N N
Progress test [ON-SITE] Assessment tests E07 E13 G01 0.1 2.5 Y N Y
Final test [ON-SITE] Assessment tests E07 E13 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 G01 1.4 35 N N N
Group tutoring sessions [ON-SITE] Group tutoring sessions E07 E13 G01 0.1 2.5 N N N
Other off-site activity [OFF-SITE] Self-study E07 G01 G04 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 and 2 and contributes with a 10%.

Other evaluation activities: Self-evaluations and group activities contribute with a 10% weight.
Specifications for the 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 activities during the regular teaching period).
Specifications for the second resit / retake exam:
There will be a final exam that will score 100% of the grade.
9. Assignments, course calendar and important dates
Not related to the syllabus/contents
Hours 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
Alpha Chiang Métodos fundamentales de economía matemática McGraw Hill 2006  
D. Girela et al Seminar of mathematical analysis Universidad de Sevilla. Secretariado de Publicaciones 9788447208036 2003  
Fernando Coquillat Cálculo integral: metodología y problemas Tebar Flores 1997  
J. Aira y R. Lardner Matemáticas aplicadas a la administración y a la economía Pearson-Prentice Hall 2002  
J.L. LLorens Aplicaciones de Derive: Análisis matemático I Universidad Politécnica, Servicio de publicaciones 1993  
Leon Simon An introduction to multivariable mathematics 9781598298017  
M. Besada y otros Cálculo en varias variables. Cuestiones y ejercicios resueltos Pearson 2001  
Marvin Bittinger Cálculo para ciencias económico-administrativas Prentice Hall 2002  
P. Hammond y K. Sydsaeter Matemáticas para el análisis económico Prentice Hall 1996  
R. Barbolla, E. Cerdá y P. Sanz Optimización: cuestiones, ejercicios y aplicaciones a la economia Prentice Hall 2001  
Robert A. Adams Student solution manual for calculus: a complete course, 9/E Prentice-Hall International Edition 9780134491073 2017  
Susana Blanco Garcia Matemáticas empresariales II: enfoque teórico práctico AC 2005  
VV.AA. Schaum CALCULUS McGraw Hills 9780071795531 2012  



Web mantenido y actualizado por el Servicio de informática