Degree | Type | Year |
---|---|---|
Audiovisual Communication | OB | 1 |
You can view this information at the end of this document.
This subject don’t have specific prerequisites. It’s a continuity of knowledge, competences and skills acquired in two subjects in the previous half year: Audiovisual and Written Comunicative Languages and Audiovisual Script.
This subject is in the field of the Audiovisual Language. This field consists of six subjects, the main aim of which is providing specific expertise about creative strategies in the use of different audiovisual languages (TV, movies, radio, multimedia). In the particular case of Speaking and Hosting, students will be trained for making a professional and creative use of voice in audiovisual media.
Syllabus
Note: The course content will be sensitive to issues related to gender perspective and the use of inclusive language.
Title | Hours | ECTS | Learning Outcomes |
---|---|---|---|
Type: Directed | |||
Laboratory practice | 30 | 1.2 | |
Master class | 15 | 0.6 | |
Type: Supervised | |||
Assessment activities | 7.5 | 0.3 | CM11, SM16, SM17, CM11 |
Tutorial | 7.5 | 0.3 | |
Type: Autonomous | |||
Readings, listenings, planning exercises | 82.5 | 3.3 |
Methodology
This training area about the creative process in speaking and hosting is one of the first stages for a good knowledge of the radio and TV voice.
Theoretical contents in master class are at the service of practical exercises in Laboratory. Master classes will need of listening to the different exercises.
The practical exercises are oriented to the planning, production and recording different audio clips.
Time devoted to preparing practical exercises belongs to the students’ autonomous tasks as well as readings and listening proposed by the professor.
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 eective course monitoring. Should the teaching modality change for reasons of force majeure according to the competent authorities, the teaching sta will inform students of any modifications to the course schedule and teaching methodologies.
In this course, the use of Artificial Intelligence (AI) technologies is permitted as an integral part of assignment development, provided that the final outcome demonstrates a significant contribution from the student in terms of analysis and personal reflection. Students must clearly identify any content generated using AI, specify the tools employed, and include acritical reflection on how these technologies have influenced both the process and the final result of the assignment. Failure to disclose the use of AI in this 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.
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 |
---|---|---|---|---|
Attendance to Seminars | 20% | 1.5 | 0.06 | CM11, SM16, SM17 |
Laboratory practice | 50% | 3.75 | 0.15 | CM11, SM16, SM17 |
Written test | 30% | 2.25 | 0.09 | CM11, SM16 |
Assessment
Assessment system is divided in three different parts. The share of this different parts is:
a) Attendance to Seminars: 20%
a) Theoretical exercise: Written test about acquired knowledge throughout school year: 30%
b) Laboratory practice: 50%
Assessment criteria are directly related to the learning achievements. The final grade of students will be determined by the weighted average between marks acquired in different asessment activities. All laboratory exercises are mandatory.
Reassessment activities
The last three weeks of the academic year are dedicated to reassessment activities for students who have obtained a grade lower than 5 in the final weighted average. In any case the reassessment activities are available to increase marks.
They aren’t revalued tests: the previous exercises to the final exercise.
The main features of this reassessment activities will be promptly communicated.
Plagiarism
Suppose a student engages in any form of misconduct that could significantly affect the outcome of an assessment. In that case, they will receive a grade of zero for that particular assessment, regardless of any disciplinary actions that may follow. If multiple instances of misconduct are detected across different assessment components of the same course, the student will receive a final grade of zero for the entire subject.
This course/module does not provide for a single-assessment system.
Non-Assessable
Following point 9 of Article 266 of the UAB Academic Regulations, if it is determined that the student has not provided sufficient evidence to be evaluated, the subject will be classified as non-assessable.
Basic:
Arnheim, Rudolf (1980): Estética radiofónica. Barcelona, Gustavo Gili, 1980.
Balsebre, A. (2012): El lenguaje radiofónico. Madrid, Cátedra (6ª edició).
Balsebre, Armand (2007): Voces microfónicas para una historia de la radio y la televisión, pp. 205-244, en BUSTOS SÁNCHEZ, Inés (ed.), La Voz. La técnica y la expresión, Barcelona, Paidotribo (2ª edició).
Balsebre, Armand (2008): La entrevista en Radio, en Balsebre, Armand; Mateu, Manel y Vidal, David: La entrevista en radio, televisión y prensa, Madrid, Cátedra (2ª edició).
Blanch, Margarita; Lázaro, Patrícia (2010): Aula de locución. Madrid. Cátedra.
Gutiérrez, María y Perona, Juanjo (2002): Teoría y técnica del lenguaje radiofónico, Bosch, Barcelona.
Huertas, Amparo y Perona, Juanjo (1999). Redacción y locución en medios audiovisuales: la radio. Barcelona, Bosch.
Merayo Pérez, A. (1992): Para entender la radio. Estructura del proceso informativo radiofónico. Publicaciones Universidad Pontificia de Salamanca.
Rodríguez, Ángel (1998): La dimensión sonora del lenguaje audiovisual. Barcelona. Paidós.
Serna, Assumpta (2002): El trabajo del actor de cine, Madrid, Cátedra.
The sound editing software used for the subject is the one implemented in the Audiovisual Laboratories of the Faculty.
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 |
---|---|---|---|---|
(PLAB) Practical laboratories | 41 | Catalan | second semester | morning-mixed |
(PLAB) Practical laboratories | 42 | Catalan | second semester | morning-mixed |
(PLAB) Practical laboratories | 43 | Catalan | second semester | morning-mixed |
(TE) Theory | 4 | Catalan | second semester | morning-mixed |