Degree | Type | Year |
---|---|---|
Audiovisual Communication and Advertising Contents | OB | 0 |
You can view this information at the end of this document.
This module aims to provide specific methodological knowledge applied to audiovisual and advertising content research, offering the basis of scientific and market research. Learning with this module focuses on quantitative, qualitative and experimental research methods and techniques.
Basis of Scientific Knowledge
Approach to audiovisual market research
Quantitative methods and techniques
Qualitative methods and techniques
Experimental Research Methods
Title | Hours | ECTS | Learning Outcomes |
---|---|---|---|
Type: Directed | |||
Seminars | 21 | 0.84 | 13, 1, 6, 8, 19, 4, 7, 9, 18, 20, 2, 3, 22, 12 |
Theoretical classes | 54 | 2.16 | 13, 6, 8, 4, 7, 11, 12 |
Type: Supervised | |||
Case studies | 44 | 1.76 | 13, 1, 6, 8, 19, 5, 7, 11, 18, 12 |
Reading texts | 27 | 1.08 | 5, 7, 11 |
Type: Autonomous | |||
Autonomous work | 150 | 6 | 13, 1, 6, 19, 4, 5, 17, 9, 21, 18, 20, 2, 3, 22, 16 |
A detailed schedule outlining the content of each session will be presented on the first day of the course and will be available on the course’s Virtual Campus, where students will find all teaching materials and necessary information for effective course monitoring. Should the teaching modality change for reasons of force majeure according to the competent authorities, the teaching staff will inform students of any modifications to the course schedule and teaching methodologies.
Note: The course content will be sensitive to issues related to gender perspective and the use of inclusive language.
Annotation: Within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.
Title | Weighting | Hours | ECTS | Learning Outcomes |
---|---|---|---|---|
Oral defense | 20% | 4 | 0.16 | 13, 6, 8, 4, 5, 7, 11, 17, 9, 21, 18, 2 |
Participation in seminars | Participation in seminars | 0 | 0 | 5, 21, 18, 20, 2, 22 |
Research pre-project | Research pre-project | 0 | 0 | 13, 1, 6, 8, 19, 4, 7, 10, 11, 17, 21, 18, 20, 3, 14, 15, 22, 16, 12 |
The evaluation consists of three different parts:
Pre-project (70%)
Oral defense (20%)
Participation in seminars (10%)
This subject doesn't provide for the single assessment system.
Students will be entitled to reassessment in the course if they have been evaluated on a set of activities accounting for at least two-thirds of the total course grade.
A person who has completed less than 2/3 of the assessment activities will be considered “non-evaluable”.
The use of Artificial Intelligence (AI) technologies is permitted exclusively for tasks specified by the teaching team. Students must clearly identify any parts generated with these technologies, specify the tools used, and include a critical reflection on how AI has influenced the process and final outcome of the assignment. Failure to disclose the use of AI in the assessed activity will be considered a breach of academic integrity and may result in a partial or total penalty to the assignment grade, or more serious sanctions in severe cases.
PLAGIARISM
In the event that the student commits any irregularity that could lead to a significant change in the grade of an assessment act, this assessment act will be graded with 0, regardless of any disciplinary process that may be initiated. If multiple irregularities occur in the assessment acts of the same subject, the final grade for this subject will be 0
-Campbell, Donald y Stanley, Julian (1993). Diseños experimentales y causi experimentales en la investigación social. Buenos Aires: Amorturu.
-Cea D'Ancona, Maria Angeles (2001). Metodología cuantitativa: Estrategias y técnicas de investigación social. Madrid: Síntesis.
-Delgado, Juan Manuel y Gutiérrez, Juan (Coords) (1995). Métodos y Técnicas cualitativas de investigación en Ciencias Sociales. Madrid: Síntesis.
-Corbetta, Piergiorgio (2003). Metodologías y técnicas de investigación social. Madrid: McGraw Hill/Interamericana.
-Hansen, Anders, Cottle, Simon, Negrine, Ralph, & Newbold, Chris (1998). Mass communication research methods. Londres: Macmillan.
-Gaitán, Juan Antonio y Piñuel, Jose Luis (1998). Técnicas de investigación en comunicación social. Elaboración y registro de datos. Madrid: Síntesis.
-Guía para el uso no-sexista del lenguaje. Servei de llengües, Universitat Autònoma de Barcelona.
-Jensen, Klaus Bruhn (2002). A Handbook of Media and Communication Research: Qualitative and Quantitative Methodologies. New York: Routledge.
-Kerlinger, Fred, Lee, Howard (2002). Investigación del comportamiento: Métodos de Investigación en Ciencias Sociales. México: Mc Graw-Hill., Bosch.
-Krippendorff, Klaus (1990). Metodología de análisis de contenido. Teoría y práctica. Barcelona: Paidós.
-Lindlof, Thomas (1991). "The qualitative study of media audience", en Journal of Broadcasting y Electronic media, 35 (1):23-42.
-Pink, Sara et al. (2019). Etnografia digital. Madrid: Morata.
-Ragin Charles (1987). The Comparative Method. Moving Beyond Qualitative and Quantitative Strategies. University of California Press.
-Tashakkori, Abbas y Teddlie, Charles (1998). Mixed Methodology: Combining Qualitative and Quantitative Approaches. Thousand Oaks: Sage.
-Torres-Toukoumidis, Ángel; León-Alberca, Tatiana (coords.) (2024). ComunicAI. La revolución de la Inteligencia Artificial en la Comunicación. Salamanca: Comunicación Social Ediciones y Publicaciones. ISBN: 978-84-10176-01-0.
-UNESCO. Indicadores de género para medios de comunicación: marco de indicadores para evaluar la sensibilidad en materia de género en las operaciones y contenidos mediáticos. 2014. ISBN: 978-92-3-300007-0. Disponible en: https://es.scribd.com/document/260415367/UNESCOIndicadores-de-Genero-para-Medios-de-Comunicacion
-Wimmer, Roger y Dominick, Joseph (1996). La investigación científica de los medios de comunicación. Barcelona: Bosch
Text Edition (Word o similar)
Presentations (Powerpoint o similar)
Spreadsheets (Excel o similar)
Please note that this information is provisional until 30 November 2025. You can check it through this link. To consult the language you will need to enter the CODE of the subject.
Name | Group | Language | Semester | Turn |
---|---|---|---|---|
(TEm) Theory (master) | 10 | Spanish | first semester | morning-mixed |