Study programme competencies |
Code
|
Study programme competences / results
|
A1 |
Coñecemento da natureza da información e dos documentos, dos seus diversos modos de produción e do seu ciclo de xestión, dos aspectos legais e éticos do seu uso e transferencia, e das fontes principais de intormación en calquera soporte, e ao longo do tempo. |
A2 |
Coñecemento, comprensión, aplicación e valoración dos principios teóricos e metodolóxicoa, e das técnicas para a planificación, organización e avaliación de sistemas, unidades e servizos de información. |
A4 |
Coñecemento, comprensión e aplicación dos principios teóricos e metodolóxicos para o estudo, a análise, a avaliación e a mellora dos procesos de produción, transferencia e uso da información e da actividade científica. |
A5 |
Coñecemento e aplicación das tecnoloxías da información que se emplea nas unidades e servizos de información e nos procesos e transferencia da información. |
A8 |
Habilidades na obtención, tratamento e interpretación de datos sobre unidades e servizos de información, dos procesos de produción, transferencia e uso da información e da actividade científica. |
B6 |
Capacidade de análise e de sintese aplicaa á xestión e organización da información |
C2 |
Utilizar as ferramentas básicas das tecnoloxías da información e da comunicación (TIC) necesarias para o exercicio da súa profesión e para a aprendizaxe ao longo da súa vida. |
Learning aims |
Learning outcomes |
Study programme competences / results |
Coñecer as medidas descriptivas e representacións gráfias de datos máis usuais. |
A1
|
|
|
Habilidade en sintetizar e analizar descriptivamente e gráficamente un conxunto de datos. |
A2
|
|
|
Coñecemento do concepto de probabilidade, regras de cálculo probabilístico e modelos probabilísticos máis usuais. |
A4
|
|
|
Coñecemento das técnicas de inferencia básicas e habilidade no cáculo e interpretación de intervalos de confianza e contraste de hipótesis nunha e dúas poboacións. |
A8
|
|
|
Capacidade de aplicar ferramentas informáticas para o desenvolvemento e a explotación de sistemas de información. |
A5
|
|
C2
|
Integrar os coñecementos teóricos e prácticos como vía para o desenvolvemento dun coñecemento e pensamento reflexivo e totalizador respecto á estatística. |
A2
|
B6
|
C2
|
Capacidade de análise e de síntese aplicada á xestión e organización da información |
|
B6
|
|
Contents |
Topic |
Sub-topic |
Tema 1. Descriptive statistics of one variable. |
Aims of statistics. General concepts. Data representation. Descriptive measurements. Proportion and index numbers. |
Tema 2. . Descriptive statistics of two variables. |
Descriptive statistics of two variables. Dependency relationship between qualitative variables. Dependency relationship between quantitative variables: simple linear regression. |
Tema 3. Index numbers and time series in documentation. |
Index numbers. Simple and composite indexes. Indicators in libraries and documentation. Indices used in databases of ISI (Journal Citation Report). New alternatives: H index. Introduction to descriptive analysis of time series. Series of accelerated growth and other bibliometric processes: law of cumulative advantage of Price. |
Tema 4. Statistical research concepts of special interest in Science Information and Documentation. |
Statistical models used in documentation. The distribution of words in texts: Zipf's law. Process modeling. Refinement of the model. Both-Federowicz equation, Brookes equation, generalized equation of Mandelbrot. |
Tema 5. Elementary notions of probability. |
Basic concepts. Operations with events. Laplace rule. Properties of probability. Conditional probability. Product rule, rule of total probability, Bayes rule. Applications to documentation problems. |
Tema 6. Discrete and continuos random variables. |
Random Variable Definition. Discrete random variables. Binomial distribution and Poisson distribution. Continuous random variables. Normal distribution. |
Tema 7. Introduction to statistical inference. |
Introduction. Confidence intervals. Hypothesis testing. |
Tema 8. Sources of statistical information |
Organization of official statistics on the national and international domain (UN agencies, EUROSTAT, INE, IGE, etc.). Main statistics on the socio-economic domain (demographic economic statistics, social, employment, ...). |
Planning |
Methodologies / tests |
Competencies / Results |
Teaching hours (in-person & virtual) |
Student’s personal work hours |
Total hours |
ICT practicals |
A1 A2 A4 A5 A8 B6 C2 |
0 |
50 |
50 |
Seminar |
A2 A4 |
0 |
50 |
50 |
Objective test |
A2 A4 A5 A8 B6 |
2 |
47 |
49 |
|
Personalized attention |
|
1 |
0 |
1 |
|
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. |
Methodologies |
Methodologies |
Description |
ICT practicals |
The student will acquire skills and knowledge of statistical software, in particular of the R software. They will solve practical cases of data analysis through the application of computer tools. |
Seminar |
The student will solve practical problems through the application of statistical techniques, using the acquired theoretical knowledge. |
Objective test |
Final exam of the theoretical and practical contents consisting of multiple choice questions and / or problem solving. |
Personalized attention |
Methodologies
|
Seminar |
Objective test |
ICT practicals |
|
Description |
A personalized attention will be applied though personalized tutorials, whether direct or virtual, individual or for groups of students. |
|
Assessment |
Methodologies
|
Competencies / Results |
Description
|
Qualification
|
Seminar |
A2 A4 |
Problem solving proposed by the teacher.
|
30 |
Objective test |
A2 A4 A5 A8 B6 |
It will consist of an examination of questions to be developed and / or questions with multiple answers lasting 2 hours. |
40 |
ICT practicals |
A1 A2 A4 A5 A8 B6 C2 |
Group or individual work in which practical assumptions will be developed through the use of a statistical package. |
30 |
|
Assessment comments |
First oportunity: The final exam of the subject will include theoretical and practical questions of multiple options, although there is also the possibility of the inclusion of questions with longer answers and problems (40%). The aspects and criteria that will be considered to evaluate activities of the Practices through the TIC (30%) and seminars (30%) are the contents addressed, demonstrated knowledge and competences referred for this matter. The qualification system shall be expressed by numerical qualification in accordance with the provisions of art. 5 del Real Decreto 1125/2003 of September 5 (BOE September 18), establishing the European system of credits and the system of qualifications in university degrees of official character and valid throughout the national territory. Qualification system: 0-4.9 = Fail 5-6.9 = Approved 7-8.9 = Notable 9-10 = Outstanding 9-10 Honor Registration (“Graciable”). Those students who have some kind of exceptionality to attend the class legally granted speak with the teacher at the beginning of the course to establish the corresponding tutorials and evaluation systems. Since the degree to which it belongs is to be extinguished, this is a subject without teaching. Second oportunity: The same procedure corresponding to the first oportunity will be applied in the second opportunity.
|
Sources of information |
Basic
|
Marín, J. (1999). Estadística Aplicada a las Ciencias de la Documentación. Murcia: Diego Marín Editor
Peña, D. (2001). Fundamentos de estadística. Madrid: Alianza
Cao, R., Francisco, M., Naya, S., Presedo, M.A., Vázquez, M., Vilar, J.A. y Vilar, J.M. (2001). Introducción a la Estadística y sus aplicaciones. Madrid: Ediciones Pirámide
Egghe, L. y Rousseau, R. (1990). Introduction to Infometrics. Quantitative Methods in Library, Documentation and Information Science. Amsterdam: Elsevier
Cao, R., Labora, A., Naya, S. e Ríos, M. (2001). Métodos estatísticos e numéricos. A Coruña: Baía Edicións
Stephen, P. and Hornby, S. (1997). Simple statistics for library and information professionals. London: Library Association Publishing
Moya, F., López, J. y García C. (1996). Técnicas Cuantitativas Aplicadas a la Biblioteconomía y Documentación. Madrid: Síntesis |
|
Complementary
|
Gonick, L. e Smith, W. (2001). A estatística ¡en caricaturas!. Lugo: SGAPEIO
S. Alonso, F.J. Cabrerizo, E. Herrera-Viedma ,F.Herrera (2009). h-Index: A review focused in its variants, computation and standardization for different scientific fields. Journal of Informetrics: ELSEVIER
Judit Bar-Ilan (2008). Informetrics at the beginning of the 21st century—A review. Journal of Informetrics: ELSEVIER |
|
Recommendations |
Subjects that it is recommended to have taken before |
|
Subjects that are recommended to be taken simultaneously |
|
Subjects that continue the syllabus |
|
Other comments |
To help achieve a sustained immediate environment and meet the objective of action number 5: "Healthy and sustainable environmental and social teaching and research" of the "Green Campus Ferrol Action Plan: The delivery of the documentary work carried out in this subject: - They will be requested in virtual format and/or computer support - It will be done through Moodle, in digital format without the need to print them. - If it is necessary to make them on paper: - Plastics shall not be used - Double-sided printing shall be carried out. - Recycled paper will be used. - Printing of drafts shall be avoided. - A sustainable use of resources and the prevention of negative impacts on the natural environment must be made. - It will work to identify and change gender biases and attitudes, and influence the environment to change them and promote values of respect and equality. - Situations of discrimination should be identified and actions and measures proposed to correct them . |
|