Guías Docentes Electrónicas
1. General information
Course:
MÉTODOS APLICADOS AL ANÁLISIS DEL ENTORNO EMPRESARIAL
Code:
310783
Type:
CORE COURSE
ECTS credits:
6
Degree:
2341 -
Academic year:
2019-20
Center:
403 -
Group(s):
20 
Year:
Sin asignar
Duration:
C2
Main language:
Spanish
Second language:
Use of additional languages:
English Friendly:
Y
Web site:
Bilingual:
N
Lecturer: EMILIO LOPEZ CANO - Group(s): 20 
Building/Office
Department
Phone number
Email
Office hours
Módulo E, despacho 1.11
ECO.POL/ HAC. PUB.,EST.ECO./EMP Y POL EC
ext. 6374
emilio.lcano@uclm.es
See Campus Virtual

Lecturer: MIGUEL ANGEL TARANCON MORAN - Group(s): 20 
Building/Office
Department
Phone number
Email
Office hours
Facultad Derecho y CCSS de Ciudad Real /1.12 Módulo E
ECO.POL/ HAC. PUB.,EST.ECO./EMP Y POL EC
ext. 3537
miguelangel.tarancon@uclm.es
Ver en Campus Virtual.

2. Pre-Requisites

No previous requirements needed

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

When considering a business initiative, it is necessary to start from the knowledge of the environment in which such an initiative is framed, especially the behaviour of the agents in this environment and the activity sector conditions. The course provides the student with the skills related to the understanding, handling and interpretation of quantitative techniques that allow the analysis of the information coming from the company environment from a practical approach. This will allow the student to have objective, evidence-based criteria to develop their strategies related to their business initiatives in a changing and uncertain environment.


4. Degree competences achieved in this course
Course competences
Code Description
CB06 Possess and understand knowledge that provides a basis or opportunity to be original in the development and / or application of ideas, often in a research context.
CB07 Apply the achieved knowledge and ability to solve problems in new or unfamiliar environments within broader (or multidisciplinary) contexts related to the area of study
CB09 Know how to communicate the conclusions and their supported knowledge and ultimate reasons to specialized and non-specialized audiences in a clear and unambiguous way
CB10 Have the learning skills which allow to continue studying in a self-directed or autonomous way
E04 Ability to extract relevant information from the business economic environment, and to apply it to decision making.
E07 Ability to apply advanced quantitative analysis to the economic and business environment for the development of predictive methods for business decision making.
E08 Ability to evaluate the technical, strategic and commercial viability of business initiatives.
G01 Ability to communicate orally, and in writing in a clear and synthetic way using ICT
T02 Ability to work in a team, lead groups and cooperate in the realization of projects.
5. Objectives or Learning Outcomes
Course learning outcomes
Description
Know how to apply and interpret advanced quantitative techniques that help the entrepreneur to take decisions in relation to the environment with which he interacts, from a practical perspective
Additional outcomes
Not established.
6. Units / Contents
  • Unit 1: Quantitative techniques applied to the knowledge of the company's environment before undertaking a business initiative.
  • Unit 2: Techniques for reducing the size of information from the business environment. Application to the determination of relevant information.
  • Unit 3: Classification techniques. Application to market segmentation.
  • Unit 4: Microeconometric models. Application to the analysis of the environment agents decisions
  • Unit 5: Perceptual mapping techniques. Application to the identification of business opportunities.
  • Unit 6: Techniques for exploiting qualitative information from the company's environment.
7. Activities, Units/Modules and Methodology
Training Activity Methodology Related Competences ECTS Hours As Com R Description
Class Attendance (theory) [ON-SITE] Combination of methods CB06 CB10 0.6 15 N N N - Master class. - Bibliographic research. - Reading of articles and other written documents. - Viewing videos and other audiovisual files. For the blended-learning modality, the number of class hours of this activity is: 5.
Class Attendance (practical) [ON-SITE] Combination of methods CB06 CB07 CB10 E04 E07 E08 0.9 22.5 N N N - Problem solving and exercises. - Case studies - Discussions through on-line forums. - Specialization seminars. For the blended-learning modality, the number of class hours of this activity is: 10.
Project or Topic Presentations [ON-SITE] Combination of methods CB09 G01 T02 0.1 2.5 Y Y N - Presentation of works, either in person or through the preparation of media files. For the blended-learning modality, the number of class hours of this activity is: 0.
Group tutoring sessions [ON-SITE] Combination of methods CB07 CB10 T02 0.2 5 N N N - Individual and group tutorials, both face-to-face and virtual through videoconferencing, forums and online chats. For the blended-learning modality, the number of class hours of this activity is: 3.5.
Final test [ON-SITE] Assessment tests CB07 CB09 0.2 5 Y Y Y
Writing of reports or projects [OFF-SITE] Combination of methods CB07 CB09 E04 E07 E08 T02 3 75 Y Y N - Learning through the preparation of individual and/or group work.
Study and Exam Preparation [OFF-SITE] Self-study CB06 CB07 CB10 E04 E07 E08 1 25 N N N
Total: 6 150
Total credits of in-class work: 2 Total class time hours: 50
Total credits of out of class work: 4 Total hours of out of class work: 100
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
Final test 30.00% 30.00% It also includes possible progress tests.
Other methods of assessment 10.00% 0.00% This refers to the presentation of the practical work to be done by the students.
Projects 60.00% 70.00% Problem solving, exercises and case studies, presentation of reports, classroom participation, etc.
Total: 100.00% 100.00%  

Evaluation criteria for the final exam:
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][Combination of methods] 15
Class Attendance (practical) [PRESENCIAL][Combination of methods] 22.5
Project or Topic Presentations [PRESENCIAL][Combination of methods] 2.5
Group tutoring sessions [PRESENCIAL][Combination of methods] 5
Final test [PRESENCIAL][Assessment tests] 5
Writing of reports or projects [AUTÓNOMA][Combination of methods] 75
Study and Exam Preparation [AUTÓNOMA][Self-study] 25

Global activity
Activities hours
10. Bibliography and Sources
Author(s) Title Book/Journal Citv Publishing house ISBN Year Description Link Catálogo biblioteca
Cabrer Borrás, Bernardí Microeconometría y decisión Pirámide 84-368-1537-8 2001 Ficha de la biblioteca
Francois Husson, Sebastien Le, Jérôme Pagès Exploratory Multivariate Analysis by Example Using R Chapman and Hall/CRC 9781138196346 2017 Este libro permite profundizar en algunas técnicas multivariantes con el paquete FactoMineR  
Garrett Grolemund, Hadley Wickham R for Data Science O'Reilly Media, Inc. 978-14-9191038-2 2016 Con este libro se puede profundizar en el uso de R para análisis de datos  
Hair, J.F., Anderson, R.E., Tatham, R.L. y Black, W.C. Análisis multivariante Prentice Hall 978-84-8322-035-1 2010 Ficha de la biblioteca
Uriel Jiménez, Ezequiel Análisis multivariante aplicado con R Paraninfo 978-84-283-2969-9 2017 Ficha de la biblioteca



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