ECTS credits ECTS credits: 6
ECTS Hours Rules/Memories Hours of tutorials: 3 Expository Class: 24 Interactive Classroom: 24 Total: 51
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: With teaching
Enrolment: Enrollable
1. Study of statistics as a tool for decision-making and research in the field of communication.
2. Study and application of statistical methods and techniques for the collection, processing, and presentation of data.
3. Statistical analysis and interpretation of data in the field of communication.
4. Management and analysis of databases in the field.
5. Implementation and operation of statistical software.
Summary and dissemination of statistical information. Analysis and descriptive summary of data, relationships between variables, samples, time series data, index numbers, variations. Statistical methods applied in the preparation of information and research in communication. Statistical computer support. Databases in the field of communication and their analysis.
THEORETICAL CONTENT
UNIT 1. INTRODUCTION
1.1 Introduction to Statistics
1.2 General Concepts of Statistics
UNIT 2. ANALYSIS OF ONE VARIABLE
2.1 Tabulation of variables and frequency distributions
2.2 Graphical representations
2.3 Measures of central tendency
2.4 Measures of dispersion
2.5 Measures of shape
UNIT 3. ANALYSIS OF MORE THAN ONE VARIABLE. RELATIONSHIPS
3.1 Bivariatel distributions. Tabulation
3.2 Graphical representations.
3.3 Relationships between variables. Independence
3.4 Correlation and association.
UNIT 4. INDEX NUMBERS
4.1 Key rates of variation.
4.2 Simple and composite indexes
4.3 Base change
4.4 Prices, quantity, and value indices
4.5 Deflation
4.6 Consumer price index. Other indicators
UNIT 5. TIME SERIES
5.1. Descriptive modelling of a time series
5.2. Components of a time series
UNIT 6. SAMPLING AND DATA IN COMMUNICATION
6.1 Introduction to sampling
6.2 Main sampling techniques
6.3 Applications. Major surveys.
UNIT 7. STATISTICS AND INFORMATION TECHNOLOGY
7.1 Statistical software packages and applications.
7.2 Sources of statistical information on the web (IGE, INE, Eurostat, MC Yearbook,...)
PRACTICAL CONTENT
Practical activities will be carried out (exercise solving, computer software usage, etc.) related to all theoretical content topics.
BASIC BIBLIOGRAPHY
Jauset, J. (2007). Estadística para periodistas, publicitarios y comunicadores : aplicaciones de los porcentajes y diseño e interpretación de encuestas : 110 ejercicios y cuestiones prácticas. UOC.
Peña, D. & Romo, J. (2003). Introducción a a la estadística para las ciencias sociales. McGraw Hill.
Pérez, C. (2002). Estadística aplicada a través de Excel. Pearson Educación.
Portilla, I. (2004). Estadística descriptiva para comunicadores: aplicaciones a la publicidad y las relaciones públicas. EUNSA.
COMPLEMENTARY BIBLIOGRAPHY
Busquet Durán, J. & Medina Cambróns, A. (2017). La investigación en comunicación: ¿que debemos saber? ¿que pasos debemos seguir? Editorial UOC. https://elibro-net.ezbusc.usc.gal/es/lc/busc/titulos/59094
Fernández Cuesta, C. & Fuentes García, F. (1995). Curso de Estadística Descriptiva. Teoría y práctica. Ariel.
Gonick, L. & Smith, G. (2001). A estatística !en caricaturas!. SGPEIO.
Humanes, M.L. (2015). Métodos de investigación en comunicación: ejercicios aplicados a las técnicas cuantitativas. Ommpress.
Jauset, J. (2000). La investigación de audiencias en televisión. Fundamentos estadísticos. Paidós.
Pulido San Román, A. (1984). Estadística y técnicas de Investigación Social. Pirámide S.A.
Sierra, R. (1994). Técnicas de investigación social. Paraninfo.
Tanur, J.M. (1992). La Estadística: Una guía a lo desconocido. Alianza Editorial.
Wimmer, R. & Dominick, J. (1996). La Investigación científica de los medios de comunicación : una introducción a sus métodos. Bosch.
Wimmer, R.& Dominick, J. (2001). Introducción a la investigación en medios masivos de comunicación. International Thomson Editores.
CON.2 - Understand the political, regulatory, and economic framework in which the audiovisual industry operates.
CON.5 - Understand the techniques and technologies of documentation, ideation, and creation specific to the audiovisual language.
HAB.2 - Master audiovisual documentation and writing techniques.
HAB.4 - Master the legal, economic, and political fundamentals, as well as the audiovisual techniques and routines applied to works of fiction and non-fiction.
COM.7 - Apply the acquired knowledge and skills in a professional and ethical manner in the field of Communication, guided by democratic principles and values and the Sustainable Development Goals.
The course comprises a total of 6 credits, half of which will be dedicated to lecture-based classes and the other half to interactive classes. The course will not have two completely separate parts in terms of theory and practice; rather, both parts will be developed in a coordinated manner throughout the term. The teaching materials will be provided in the course's Virtual Classroom and will also be integrated into the teaching methodology.
Lecture: These will be used for face-to-face activities that do not require active student participation, where the number of students per group is not a critical factor for their development: content presentations.
Seminar: Interactive group sessions guided by the instructor, particularly focused on solving exercises, analyzing texts and cases, as well as designing strategies and projects.
Problem-solving: Activities aimed at obtaining a specific result (solution or analysis).
The individual final exam will be conducted in person on the dates established by the Center. The various assessable activities throughout the course will be presented in face-to-face sessions and posted in the virtual classroom.
1st Opportunity
- Final exam: 50% of the total grade.
- Practical exercises: 50% of the total grade. The evaluation system will be based on active attendance in classes, the practical work completed by students inside and outside class hours, as well as the quality of the assignments submitted throughout the course.
The evaluation system requires passing both the theoretical and practical parts to pass the course.
2nd Opportunity
The evaluation method described for the 1st opportunity is also applicable to the 2nd opportunity. Therefore, in this 2nd opportunity, the grade for the practical exercises will be retained and not subject to retake, while the exam grade can be recovered through a final exam.
Students exempt from class attendance will have to take the final exam, which will account for 100% of the grade. These conditions apply to both the 1st and 2nd opportunities. Attendance exemptions must be authorized by the Academic Commission.
- In case of plagiarism or misuse of technology in completing assignments or exams: "In cases of fraudulent completion of exercises or exams, the provisions established in the Academic Performance Evaluation and Grade Review Regulations will be applied."
- According to the current permanence regulations at USC for undergraduate and master's students (art. 5.2), mere attendance, as well as participation in any of the activities conducted in interactive classes, will be subject to evaluation, and therefore, the final grade for a student who meets these criteria will in no case be "Absent".
Theoretical instruction: 24 hours
Interactive instruction: 24 hours
Small group tutoring: 3 hours
Assessment tests: 3 hours
Personal study: 96 hours
Mathematical language is necessary for the development of the course. Students need to make an effort at the beginning of the course to use precise language.
Student need to acquire the necessary tools for the accurate interpretation of statistical results obtained or collected from other sources. Classroom discussions about the contents are a useful tool for understanding the topics, so attending academic activities is important. It is advisable for students to consult any doubts they may have, considering the role that interpreting and using statistical results will paly in their future professional work.
Mathematical expressions do not need to be memorized by the students; they will be provided when needed. This apporach aims to develop the skills in the analysis and interpretation of results found in media sources.
Use of Virtual Classroom: yes
Interactive Teaching: Computer Lab, Whiteboard Classroom
Software: EXCEL, SPSS
Carlos Pio Del Oro Saez
- Department
- Quantitative Economy
- Area
- Quantitative Economics (USC-specific)
- carlospio.deloro [at] usc.es
- Category
- Professor: University Lecturer
Maria Luisa Chas Amil
Coordinador/a- Department
- Quantitative Economy
- Area
- Quantitative Economics (USC-specific)
- Phone
- 881811549
- marisa.chas [at] usc.es
- Category
- Professor: University Professor
| Monday | |||
|---|---|---|---|
| 10:00-11:00 | Expositivo 1 | Galician | Classroom 6 |
| Wednesday | |||
| 10:00-11:00 | Expositivo 1 | Galician | Classroom 6 |
| Thursday | |||
| 11:00-12:00 | Expositivo 1 | Galician | Classroom 6 |
| 01.14.2025 16:00-20:00 | Expositivo 1 | Classroom 5 |
| 01.14.2025 16:00-20:00 | Expositivo 1 | Classroom 6 |
| 06.12.2025 16:00-20:00 | Expositivo 1 | Classroom 5 |