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 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 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).
Students will be assessed through a continuous evaluation system. This system utilizes assessment tools designed to measure ongoing learning of statistical concepts and methodologies covered in this course, as well as their application to empirical research. Evaluation will primarily be based on assignments where students demonstrate their acquired knowledge level. All evaluable activities will be introduced during in-person sessions and submitted through the virtual learning platform.
1st Opportunity
Final exam: 50% of total grade (5 points). A minimum score of 2 points is required to pass the course.
Practical exercises: 50% of total grade (5 points). Assessment will be based on practical work completed both during and outside class hours, as well as the quality of coursework submitted throughout the semester.
2nd Opportunity
The evaluation criteria described for the first period also apply to the second assessment opportunity. For the retake:
Practical exercise grades will be carried forward and cannot be retaken. Only the final exam score may be improved.
Class attendance will not be considered in the evaluation.
Class attendance exemptions are regulated by the Official Undergraduate and Master's Degree Attendance Regulations. Students granted attendance exemption must complete the final exam, which will account for 100% of their grade. This applies equally to both assessment periods.
According to USC's current academic regulations for Bachelor's and Master's students (Article 5.2), simply attending or participating in any evaluable activity means the student's final grade cannot be recorded as "Absent".
Cases involving fraudulent completion of exercises or tests will be handled according to the "Regulations for the Assessment of Student Academic Performance and Grade Review."
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 |
| Friday | |||
| 11:00-12:00 | Expositivo 1 | Galician | Classroom 6 |
| 01.13.2026 10:00-11:00 | Expositivo 1 | Classroom 5 |
| 01.13.2026 10:00-11:00 | Expositivo 1 | Classroom 6 |
| 06.11.2026 16:00-20:00 | Expositivo 1 | Classroom 5 |