ECTS credits ECTS credits: 6
ECTS Hours Rules/Memories Student's work ECTS: 99 Hours of tutorials: 3 Expository Class: 24 Interactive Classroom: 24 Total: 150
Use languages Spanish, Galician
Type: Ordinary Degree Subject RD 1393/2007 - 822/2021
Departments: Quantitative Economy
Areas: Quantitative Economics (USC-specific)
Center Faculty of Communication Science
Call: First Semester
Teaching: Sin docencia (Extinguida)
Enrolment: No Matriculable
The subject aims to provide the students with the knowledge and use of the basical statistical techniques necessary for the descriptive analysis of data (analysis and descritive resume of data, characteristic relations, sampling, time data series, index numbers, variation measures,...), treatment of this information in the media and the main statistical operations applied to the Communication. Study of useful statistical methods for its application in communication research.
Special attention will be paid to the practical applications of Statistics in all media where those applications appear.
-Presentation of the data and use of statistical language in media.
-Calculation and summary of numerical and qualitative information.
-Statistical analysis of information.
-Computer software for obtaining statistical results.
-Obtaining detailed statistical information and data base resources.
-Interpretation and application of the statistical analysis in the mass media
UNIT 1. INTRODUCTION.
1.1.Introduction to the concept of Statistics.
1.2. General Statistics Terms.
UNIT 2. ONE DATA SERIES ANALYSIS
2.1. Tabulation of variables and frequencies distributions.
2.2. Graphical representations.
2.3. Position measures.
2.4. Dispersion measures.
2.5. Shape and concentration measures.
UNIT 3. INDEX NUMBERS
3.1. Main variation rates.
3.2. Simple and compound indexes.
3.3. Change of base.
3.4. Indexes of prices, quantities and value.
3.5. Deflation.
3.6. Consumer Prices Index. Other index.
UNIT 4. TIME SERIES.
4.1. Descriptive modeling of a temporal series.
4.2. Time series components.
UNIT 5. MORE THAN ONE DATA SERIES ANALYSIS. RELATIONSHIP
5.1. Two-dimensional distributions. Tabulation.
5.2. Graphical representations.
5.3. Relations betweeen characteristics. Statistical independence.
5.4. Correlation and association.
UNIT 6.- SAMPLING
6.1. Introduction to sampling.
6.2. Main techniques for selecting samples.
6.3. Applications. Main surveys.
UNIT 7.- STATISTICS AND THE COMPUTER MEDIUM.
7.1. Computer packages with applications in Statistics.
7.2. Statistical data base (IGE, INE, Eurostat, AIMC,…)
BÁSIC:
JAUSET, J. (2000) La investigación de audiencias en televisión. Fundamentos estadísticos.
Edil. Paid os
MARTIN-GUZMAN, P., MARTIN-PLIEGO, F.J. (1987) Curso básico de Estadística Económica. Edit. Ariel
PULIDO SAN ROMAN, A. (1984) Estadística y técnicas de Investigación Social. Ediciones Pirámide S.A.
RIOBOO, J.M., DEL ORO, C.P. (2000) Representaciones gráficas de datos estadísticos. Edit. AC, Madrid.
COMPLEMENTARY:
FERNÁNDEZ CUESTA, C. FUENTES GARCÍA, F. (1995) Curso de Estadística Descriptiva. Teoría y práctica. Edit. Ariel, Barcelona
GARCIA BARBANCHO, A. (1992) Estadística Elemental Moderna. Edit. Ariel, Barcelona
MANZANO, V.G., ROJAS, A.J., FERNÁNDEZ, J.S. (1996) Manual para encuestadores. Edit. Ariel, S.A. Barcelona
PARRA, I. (2001). Estadística empresarial con Microsoft Excel: Fórmulas, tablas y funciones. Editorial AC, Madrid.
PÉREZ, C. (2002) Estadística aplicada a través de Excel. Pearson Educación, Madrid.
PEREZ, R. et al.(1992) Análisis de Datos Económicos I: Métodos Descriptivos. Edit. Pirámide
PORTILLA, I. (2004) Estadística descriptiva para comunicadores. EUNSA, Navarra
SARRAMONA, J. Investigación y estadística aplicada a la educación. Madrid: Ceac, 1980
SIERRA, R. Técnicas de investigación social. Madrid: Paraninfo, 1994
TANUR, J.M. et al.(1992) La Estadística: Una guía a lo desconocido. Edit. Alianza Editorial.
BASIC:
CB2 - Students can apply their knowledge to their work or vocation in a professional way and have the skills that can be demonstrated through the elaboration and defense of arguments and problem solving within their area of study
CB3 - Students have the capacity to gather and interpret relevant data to make judgments that include a reflection on relevant social, scientific or ethical issues
CB4 - Students can transmit information, ideas, problems and solutions to a specialized and non-specialized audience
CB5 - Students have developed the necessary learning skills to undertake later studies with a high degree of autonomy
GENERAL:
CG1 - Basic contextual competence of a transdisciplinary order
CG2 - Contextual competence to place journalism in the field of communication
CG3 - Competence to practice the profession with professional ethics and civic commitment
TRANSVERSE:
CT1 - Organizational and planning capacity
CT2 - Information management capacity
CT3 - Teamwork
CT4 - Autonomous Learning
CT5 - Creativity
CT6 - Initiative and Entrepreneurship
CT7 - Basic knowledge of the profession
SPECIFIC:
CE23 - Understand the economic and political context in which communication is developed today
CE24 - Train for the understanding of reports and statistical data for their interpretation in the media.
CE25 - Acquire the necessary knowledge to understand the dimension of mass communication.
Half of the total number of the subject credits, will be dedicated to explanatory classes and the rest to interactive classes. The matter will not possess two totally differentiated parts (theory and practice) and will be developed in a coordinated way during the course.
The subject will have a virtual classroom on the USC platform where classroom presentations and supporting materials for the course and preparation of the subject will be included.
Explanatory classes: They will be used for explanatory attend activities type that they do not need an active students participation, and that, the group number of students is not a critical factor for its development: contents presentation, discussions,...
Interactive classes: Activities that they seek or require an active student participation: discussions of practical cases, problems resolution, texts or information works, computer practices, reports exhibition...
Tutoring: Activities of orientation, dynamization and tutoring activities for the students’ work: orientation for the accomplishment of reports, preparation of the exhibitions, search and selection of bibliographical material and statistical data bases, practices review or problems...
Setting 1: expository and interactive teaching will be totally face-to-face. In the interactive classes the students will work in groups. The tutoring will be primarily face-to-face but it can also be done electronically using email, the virtual classroom or the virtual platform of the USC (Teams).
Setting 2: face-to-face and virtual teaching will be combined in expository and interactive teaching according to the guidelines established by the Dean's Office or the Rector’s Office for this setting and the sanitary measures that are established at that time. For virtual teaching, the virtual classroom of the subject, the USC platform (Teams) or free platforms that can facilitate electronic mobile learning or M-learning will be used synchronously and / or asynchronously as established by the Center. In general, expository teaching may have an asynchronous character and an attempt will be made to make interactive teaching synchronous in order to facilitate the discussion and resolution of practical cases, either face-to-face or telematic according to the guidelines established in this scenario. The tutorship will be primarily by telematic means via email, the virtual classroom of the USC and the virtual platform of the USC (Teams).
Setting 3: Teaching will be totally virtual. For this teaching, the virtual classroom of the subject and the USC platform (Teams) will be used synchronously and / or asynchronously according to the possibilities established by the Center or the Rector's Office. In general, expository teaching may have an asynchronous character and an attempt will be made to make interactive teaching synchronous in order to facilitate the discussion and resolution of practical cases using the virtual classroom, the USC platform (Teams) and / or free platforms that can facilitate electronic mobile learning or M-learning. The tutorials will be electronically via email, the USC virtual classroom and / or the USC virtual platform (Teams).
The evaluation of the FIRST OPPORTUNITY of the subject will consist of an individual final test that will represent 70% of the maximum possible grade and the continuous evaluation of the student's work that will represent the remaining 30% of the maximum possible grade.
Setting 1: The final individual test will be done in person on the dates established by the Center. The continuous evaluation of the students will be based on the work and / or probes carried out or commissioned during the course, group work and their participation in academic activities. Its distribution will be: tasks commissioned and delivered (15%), active participation (5%), group and individual work (10%). Attendance at activities will be governed by the regulations of the USC. Students must have attended at least 80% of the interactive activities and tutoring scheduled to access the rating of the continuous assessment. The tasks and evaluable activities throughout the course will be presented in the face-to-face sessions and in the virtual classroom.
Setting 2: The final test will be of a synchronous or asynchronous telematic nature using the virtual classroom of the subject according to the calendar established by the Center or face-to-face if it is possible for the sanitary measures established in this scenario. The continuous evaluation will be carried out combining the telematic and face-to-face tasks that are feasible in this scenario. For the group and / or individual telematic tasks and tests of the continuous assessment, the virtual classroom of the subject, the virtual platform (Teams) and / or free platforms that can facilitate electronic mobile learning or M-learning will be used. Its distribution will be: tasks and activities commissioned and delivered (20%) and individual tests (10%). The different evaluable activities throughout the course will be presented in the face-to-face or telematic sessions developed in this setting and in the virtual classroom.
Setting 3: The final test will be of a synchronous or asynchronous telematic nature according to the calendar established by the Center. The continuous assessment will be carried out by combining the group and / or individual telematic tasks and tests using the virtual classroom of the subject, the virtual platform (Teams) and / or free platforms that can facilitate electronic mobile learning or M-learning. Its distribution will be: tasks and activities commissioned and delivered (20%) and individual tests (10%). The different evaluable activities throughout the course will be presented in the telematic sessions developed in this setting and in the virtual classroom.
ALTERNATIVE ASSESSMENT FOR THE REPEATER STUDENTS for the 1st OPPORTUNITY:
The student who repeats, who has attended the subject in previous courses and has failed the subject, may choose the ordinary evaluation or the elaboration of a final synthesis report of the subject for the 1st opportunity.
Repeating student body will have until October 2 to choose this alternative assessment system. The maximum grade that this evaluation system will have will be 7 points. The topic can be chosen from the list of topics to be collected in the virtual classroom at the beginning of the course or from any topic chosen by the student. In both cases, the choice of the subject and the work scheme to be developed must be presented and authorized by the teaching staff before the deadline. The specific rules and deadlines will be available in the virtual classroom at the beginning of the course.
The evaluation of the SECOND OPPORTUNITY will be governed by the same system as the first opportunity without the possibility of recovering the tasks, activities and previous tests linked to the continuous evaluation.
The evaluation in cases of class attendance exemption will be done with the final test valued on the maximum possible grade.
According to the regulations of Permanence in force at the USC for Bachelor and Master studies (art. 5.2), the mere attendance and / or participation in any of the activities subject to evaluation will mean that the final grade of the student is different from “Not presented”.
In cases of fraudulent performance of exercises or tests, the provisions of the “Normativa de avaliación do rendemento académico dos estudantes e de revisión de cualificacións” will apply.
Class work: 48 hours
Autonomous, individual study or in group: 45 hours
Planning, search, record and preparation of support material: 20 hours
Readings, recommendations, libraries activities or similar: 40 hours
Preparation of oral presentations, discussions or similar: 10 hours
Writing of exercises, conclusions and / or other works: 12 hours
Total: 150 hours
The mathematical language is necessary for the development of the subject since this language is the one in which statistics are expressed. In this sense, the student must strive at the beginning of the course to use precise language.
The student must acquire the necessary tools for the accurate interpretation of the original statistical results or collected from other sources. The debate in the classroom about the contents is a useful tool for understanding the presented contents, so attendance at academic activities is important. In each setting of teaching activity, it is convenient for the student to consult all the doubts that they have and taking into account the role played by the interpretation and the use of statistical results in their future professional work.
The mathematical expressions do not have to be memorized by the student. It is tried so that students are used to practical analysis and the interpretation of the results collected in the media.
The settings included in the programming are those indicated in the USC Consello de Goberno Agreement of 19/06/2020 "Bases para o desenvolvemento dunha docencia presencial segura. Curso 2020-21” and in the “Directrices para o desenvolvemento dunha docencia presencial segura. Curso 2020-21” of the Comisión for Teaching Planning of 25/06/2020. Under this regulation, the next Contingency Plan was prepared for the adaptation of the sections corresponding to the teaching methodology and the evaluation system for settings 2 and 3 so that they are taken into account in the monitoring and accreditation processes of the degree:
a) Teaching methodology
Setting 2: face-to-face and virtual teaching will be combined in expository and interactive teaching according to the guidelines established by the Dean's Office or the Rector’s Office for this setting and the sanitary measures that are established at that time. For virtual teaching, the virtual classroom of the subject, the USC platform (Teams) or free platforms that can facilitate electronic mobile learning or M-learning will be used synchronously and / or asynchronously as established by the Center and /. In general, expository teaching may have an asynchronous character and an attempt will be made to make interactive teaching synchronous in order to facilitate the discussion and resolution of practical cases, either face-to-face or telematic according to the guidelines established in this scenario. The tutorship will be primarily by telematic means via email, the virtual classroom of the USC and the virtual platform of the USC (Teams).
Setting 3: Teaching will be totally virtual. For this teaching, the virtual classroom of the subject and the USC platform (Teams) will be used synchronously and / or asynchronously according to the possibilities established by the Center or the Rector's Office. In general, expository teaching may have an asynchronous character and an attempt will be made to make interactive teaching synchronous in order to facilitate the discussion and resolution of practical cases using the virtual classroom, the USC platform (Teams) and / or free platforms that can facilitate electronic mobile learning or M-learning. The tutorials will be electronically via email, the USC virtual classroom and / or the USC virtual platform (Teams).
b) Learning assessment system
Setting 2: The final test will be of a synchronous or asynchronous telematic nature using the virtual classroom of the subject according to the calendar established by the Center or face-to-face if it is possible for the sanitary measures established in this scenario. The continuous evaluation will be carried out combining the telematic and face-to-face tasks that are feasible in this scenario. For the group and / or individual telematic tasks and tests of the continuous assessment, the virtual classroom of the subject, the virtual platform (Teams) and / or free platforms that can facilitate electronic mobile learning or M-learning will be used. Its distribution will be: tasks and activities commissioned and delivered (20%) and individual tests (10%). The different evaluable activities throughout the course will be presented in the face-to-face or telematic sessions developed in this setting and in the virtual classroom.
Setting 3: The final test will be of a synchronous or asynchronous telematic nature according to the calendar established by the Center. The continuous assessment will be carried out by combining the group and / or individual telematic tasks and tests using the virtual classroom of the subject, the virtual platform (Teams) and / or free platforms that can facilitate electronic mobile learning or M-learning. Its distribution will be: tasks and activities commissioned and delivered (20%) and individual tests (10%). The different evaluable activities throughout the course will be presented in the telematic sessions developed in this setting and in the virtual classroom.
Carlos Pio Del Oro Saez
Coordinador/a- Department
- Quantitative Economy
- Area
- Quantitative Economics (USC-specific)
- carlospio.deloro [at] usc.es
- Category
- Professor: University Lecturer
Maria Luisa Chas Amil
- Department
- Quantitative Economy
- Area
- Quantitative Economics (USC-specific)
- Phone
- 881811549
- marisa.chas [at] usc.es
- Category
- Professor: University Lecturer
| Monday | |||
|---|---|---|---|
| 10:00-11:00 | Expositivo 1 | Galician, Spanish | Classroom 2 |
| Wednesday | |||
| 09:00-10:00 | Expositivo 1 | Galician, Spanish | Classroom 2 |
| Friday | |||
| 10:00-11:00 | Expositivo 1 | Spanish, Galician | Classroom 2 |
| 01.18.2021 10:00-14:00 | Expositivo 1 | Classroom 1 |
| 01.18.2021 10:00-14:00 | Expositivo 1 | Classroom 2 |
| 06.23.2021 10:00-14:00 | Expositivo 1 | Classroom 3 |