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.

Learning outcomes	Study programme competences
Knowing and understanding the handling of basic techniques for Data Analysis and Descriptive Statistics.	A4 A6 A7 A8 A10	B6 B10	C1 C5 C6 C7 C8
Knowing and understanding the fundamentals on Data Analysis and Descriptive Statistics.	A4 A10 A11 A12	B1 B2	C1 C4 C5 C6 C7 C8
Knowing and understanding the fundamentals on Probability Calculus.	A4	B3 B4	C1 C4 C5 C6 C7 C8
Handling the basic concepts on Probability Calculus.	A4	B5 B7	C8

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

Methodologies / tests	Competencies	Ordinary class hours	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	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

Methodologies	Competencies	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.

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

Other comments
Group A of this subject will be taught entirely in English.