Study programme competencies |
Code
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Study programme competences / results
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A4 |
Elaborate advisory reports on specific situations of companies and markets |
A6 |
Identify the relevant sources of economic information and to interpret the content. |
A7 |
Understand economic institutions as a result and application of theoretical or formal representations which explain the evolution of the economy. |
A8 |
Derive, based on from basic information, relevant data unrecognizable by non-professionals. |
A10 |
Read and communicate in a professional environment at a basic level in more than one language, particularly in English |
A11 |
To analyze the problems of the firm based on management technical tools and professional criteria |
A12 |
Communicate fluently in their environment and work by teams |
B1 |
CB1-The students must demonstrate knowledge and understanding in a field of study that part of the basis of general secondary education, although it is supported by advanced textbooks, and also includes some aspects that imply knowledge of the forefront of their field of study |
B2 |
CB2 - The students can apply their knowledge to their work or vocation in a professional way and have competences typically demostrated by means of the elaboration and defense of arguments and solving problems within their area of work |
B3 |
CB3- The students have the ability to gather and interpret relevant data (usually within their field of study) to issue evaluations that include reflection on relevant social, scientific or ethical |
B4 |
CB4-Communicate information, ideas, problems and solutions to an audience both skilled and unskilled |
B5 |
CB5-Develop skills needed to undertake further studies learning with a high degree of autonomy |
B6 |
CG1-Perform duties of management, advice and evaluation in business organizations |
B7 |
CG2-Know how to use the concepts and techniques used in the various functional areas of the company and understand the relationships between them and with the overall objectives of the organization |
B10 |
CG5-Respect the fundamental and equal rights for men and women, promoting respect of human rights and the principles of equal opportunities, non-discrimination and universal accessibility for people with disabilities. |
C1 |
Express correctly, both orally and in writing, in the official languages of the autonomous region |
C4 |
To be trained for the exercise of citizenship open, educated, critical, committed, democratic, capable of analyzing reality and diagnose problems, formulate and implement knowledge-based solutions oriented to the common good |
C5 |
Understand the importance of entrepreneurial culture and know the means and resources available to entrepreneurs |
C6 |
Assess critically the knowledge, technology and information available to solve the problems and take valuable decisions |
C7 |
Assume as professionals and citizens the importance of learning throughout life. |
C8 |
Assess the importance of research, innovation and technological development in the economic and cultural progress of society. |
Learning aims |
Learning outcomes |
Study programme competences / results |
Knowing and understanding the handling of basic techniques for Data Analysis and Descriptive Statistics.
|
A4 A6 A7 A8 A10
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B6 B10
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C1 C5 C6 C7 C8
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Knowing and understanding the fundamentals on Data Analysis and Descriptive Statistics.
|
A4 A10 A11 A12
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B1 B2
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C1 C4 C5 C6 C7 C8
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Knowing and understanding the fundamentals on Probability Calculus.
|
A4
|
B3 B4
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C1 C4 C5 C6 C7 C8
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Handling the basic concepts on Probability Calculus.
|
A4
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B5 B7
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C8
|
Contents |
Topic |
Sub-topic |
Data Description Statistical techniques |
- Statistical analysis of a variable
- Statistical analysis of two variables
- Regression and correlation
- Time series
- Index numbers |
Probability theory |
- Introduction to Probability
- Random variable
- Main probability distributions
- Convergence and central limit theorem |
Planning |
Methodologies / tests |
Competencies / Results |
Teaching hours (in-person & virtual) |
Student’s personal work hours |
Total hours |
Introductory activities |
B5 C6 C7 C8 |
1 |
0 |
1 |
Guest lecture / keynote speech |
A4 A7 A11 B1 B4 B7 C1 C5 |
17 |
34 |
51 |
Workshop |
A6 A10 A11 A12 B2 B3 B5 B6 B10 C1 C4 C5 C6 |
17 |
42.5 |
59.5 |
ICT practicals |
A8 A10 A11 C4 C8 |
8 |
16 |
24 |
Objective test |
A4 A6 A12 B2 B3 B5 B7 C1 C6 |
2 |
6 |
8 |
|
Personalized attention |
|
6.5 |
0 |
6.5 |
|
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. |
Methodologies |
Methodologies |
Description |
Introductory activities |
It consists in the presentation of the subject and the exhibition of the activities that the students must develop and of the criteria with which they will be evaluated. |
Guest lecture / keynote speech |
Each keynote session consists of the teachers' oral exposition of concepts and methods, although they must have the active participation of the students. The exhibition is complemented by the use of audiovisual media and includes examples and exercises that make it possible to highlight the limitations and possibilities of the methods exposed |
Workshop |
Each workshop is an interactive session in which applications, exercises and problems are made that allow students to understand the theoretical foundations of the subject and learn to value, from a critical point of view, the results obtained |
ICT practicals |
These are interactive sessions dedicated to the learning of the appropriate computer tools to carry out empirical applications of the methods exhibited in the theoretical sessions |
Objective test |
It is a written test to evaluate the degree of learning |
Personalized attention |
Methodologies
|
Workshop |
ICT practicals |
Objective test |
|
Description |
The heterogeneity of the students, in terms of their previous training and their academic situation, requires a personalized attention that allows to solve the specific doubts that are posed to them during the course. TIC practices, workshops and tutoring are important tools to solve theoretical and empirical problems, both collectively and individually. |
|
Assessment |
Methodologies
|
Competencies / Results |
Description
|
Qualification
|
Workshop |
A6 A10 A11 A12 B2 B3 B5 B6 B10 C1 C4 C5 C6 |
The active presence of the students in these classes will be assessed, in which they must resolve and deliver the controls, problems, exercises and questions that are proposed to them, in the form that will be detailed at the beginning of the course. |
30 |
Objective test |
A4 A6 A12 B2 B3 B5 B7 C1 C6 |
The objective test for learning assessment combines conceptual and reasoning questions with other practical content. |
70 |
|
Assessment comments |
A) All evaluation tests are face-to-face and cannot be replaced by exercises or work. For its realization, group changes will not be allowed, except those officially granted by the Faculty, which must be adequately justified.
B) June and July Opportunities
To pass the subject, it will be necessary to obtain at least 5 points in the sum of the qualifications corresponding to the tests of continuous evaluation and to the final examination.
The evaluation system will be applied, as described in the preceding paragraph, in both opportunities to all students, irrespective of their academic situation.
Students with recognition of part-time dedication are exempt from attendance except on the dates of completion of the evaluation tests.
The non-presented qualification corresponds only to students who participate in evaluation activities that have a weighting of less than 20 per cent of the total qualification.
C) Early opportunity.
The evaluation corresponding to the early opportunity will be developed through a single exam that will be valued with a maximum of 10 points, and that will have as basis the complete syllabus described in the section "Contents" of the guide of the current academic course. To pass the subject it will be necessary to obtain a minimum of 5 points in this exam. These conditions of evaluation are specific for the early opportunity and will only be applied in this case.
D) Opportunities for June, July and early.
As is mandatory, the rules of evaluation, review and claim of the qualifications of the studies of degree and university Master of the UDC will apply to the evaluation tests (https://www.udc.es/export/sites/udc/normativa/_galeria_down/ Academica/Normas_avaliacion_revision_reclamacion_consolidado_l. pdf).
It is recommended to pay special attention to articles 10. Student identification, and 14. Fraud and disciplinary responsibilities Commission.
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Sources of information |
Basic
|
Levine, D. M., Krehbiel, T. C. and Berenson, M. L. (2010 (5th ed.)). Business Statistics: A first course. Upper Saddle River, Pearson Education
Casas Sánchez, J. M. y otros (2006). Ejercicios de Estadística Descriptiva y probabilidad. Madrid, Pirámide
Montiel, A. M., Rius, F. y Barón, F. J. (1997). Elementos básicos de Estadística Económica y Empresarial. Madrid, Prentice Hall
Esteban García, J. y otros (2004). Estadística Descriptiva y nociones de Probabilidad. Madrid, Thomson
Martín-Pliego, F. J. y Ruiz-Maya, L. (2006). Fundamentos de Probabilidad. Madrid, Thomson
Martín-Pliego, F. J., Montero, J. M. y Ruiz-Maya, L. (2006). Problemas de Probabilidad. Madrid, Thomson
Newbold, P., Carlson, W. and Thorne, B. (2010). Statistics for business and economics, 7/E. Pearson/Prentice Hall
Levine, D. M. et al. (2011). Statistics for managers using MS Excel, 6/E. Prentice Hall |
The latest three books will serve as a bibliografical reference for the English group (group A) of this subject. |
Complementary
|
Uña Juárez, I., San Martín Moreno, J. y Tomeo Perucha, V. (2010). Cálculo de Probabilidades. Madrid, Garceta
García-Carro Peña, B., Sánchez Sellero, M. C. y Martínez Filgueira, X. M. (2003). Curso práctico de Probabilidad con aplicaciones económicas. Universidad da Coruña
Tomeo Perucha, V. y Uña Juárez, I. (2009). Estadística Descriptiva. Madrid, Garceta
Benítez Márquez, M.D. y otros (2012). Estadística Descriptiva. Madrid, McGraw-Hill
Cao Abad, R. y otros (2001). Introducción a la Estadística y sus aplicaciones. Madrid, Pirámide
Sánz, J. A., Bedate, A., Rivas, A. y González, J. (1996). Problemas de Estadística Descriptiva Empresarial. Madrid, Ariel |
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Recommendations |
Subjects that it is recommended to have taken before |
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Subjects that are recommended to be taken simultaneously |
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Subjects that continue the syllabus |
Statistics and Introduction to Econometrics/611G02014 |
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Other comments |
Group A of this subject will be taught entirely in English. |
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