Degree | Type | Year |
---|---|---|
Musicology, Musical Education and Interpretation of Early Music | OT | 0 |
You can view this information at the end of this document.
None
By the end of the course, students should:
The module is organized into three thematic blocks:
Block 1: Musicology and Digital Humanities (professor: Carles Badal)
Block 2: Music Research in Natural and Social Sciences (professor: Gabrielle Kaufman)
Block 3: New Musicology (professor: Diego Alonso)
Title | Hours | ECTS | Learning Outcomes |
---|---|---|---|
Type: Directed | |||
Seminars with in-class participation (in-person or virtual) | 40 | 1.6 | 1, 2, 3, 4, 7, 8, 9, 11 |
Type: Supervised | |||
Case studies | 30 | 1.2 | 1, 2, 3, 4, 7, 8, 9, 11 |
Type: Autonomous | |||
Work on mandatory readings | 30 | 1.2 | 1, 2, 3, 4, 7, 8, 9, 11 |
Writing and editing critical papers on course content | 60 | 2.4 | 1, 2, 3, 4, 7, 8, 9, 11 |
This module follows a hybrid format, combining theoretical lectures delivered by the instructor and in-class collaborative work on practical case studies. These sessions will deepen the understanding of theoretical aspects and key concepts from the syllabus.
This seminar-style approach and learning methodology actively engage students. Course content will be acquired primarily through:
Reading and discussing selected texts.
Active participation requires personal commitment to prepare assigned readings and viewings beforehand to contribute meaningfully to in-class discussions.
As a postgraduate course, independent work plays a significant role in the methodology. Tasks will be completed both individually and in collaborative groups. Students will also participate in peer assessment of materials generated during seminars.
The module has a dedicated Moodle classroom, where the activity schedule and teaching materials will be published.
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 |
---|---|---|---|---|
Assessment 1.1 (papers, presentations, and/or exams) | 24% | 15 | 0.6 | 1, 2, 3, 4, 5, 7, 6, 8, 9, 10, 11 |
Assessment 1.2 (papers, presentations, and/or exams) | 24% | 15 | 0.6 | 1, 2, 3, 4, 5, 7, 6, 8, 9, 10, 11 |
Assessment 2.1 (papers, presentations, and/or exams) | 12% | 10 | 0.4 | 1, 2, 3, 4, 5, 7, 6, 8, 9, 10, 11 |
Assessment 3.1 (papers, presentations, and/or exams) | 12% | 10 | 0.4 | 1, 2, 3, 4, 5, 7, 6, 8, 9, 10, 11 |
Participation in work sessions | 20% | 40 | 1.6 | 1, 3, 4, 7, 8, 11 |
Each teacher may evaluate students through one or multiple assessment methods (written assignment, presentation, or exam) that will be specified at the beginning of the course. The overall grade for each block (Participation + Assessments) will contribute to the final grade according to the same percentage as the teaching sessions:
If assessments cannot be conducted in person, their format will be adapted (while maintaining the same weighting) using the virtual tools available at UAB. Homework, activities, and class participation will take place through forums, wikis, and/or exercise discussions via Teams, etc. The instructor will ensure students can access these or will provide alternative means within their capabilities.
The submission of any assignment or attendance at any written test will count as an 'in-person' activity for the course. Therefore, only students who have not completed any assessment throughout the course may be classified as "non-assessable."
SINGLE ASSESSMENT OPTION:
For this course, the use of Artificial Intelligence (AI) technologies is permitted exclusively for support tasks, such as bibliographic or information searches, text correction, translations, and other similar uses that the teaching staff may expressly authorize. In any written activity, students must clearly identify which parts were developed using AI technology and specify the tools employed. Failure to disclose the use of AI in an assessable activity will be considered a breach of academic integrity and may result in partial or total grade penalties.
If a student commits any irregularity that may lead to significant variation in an assessment grade, that assessment will be graded 0, regardless of any disciplinary processthat mayfollow. If multiple irregularities occur in assessments for the same course, the final grade for the course will be 0.
Beard, David and Gloag, Kenneth (ed.). Musicology: The Key Concepts. New York and London: Routledge, 2005.
Burdick, Anne; Drucker, Johanna; Lunenfeld, Peter; Presner, Todd ; Schnapp, Jeffrey. Digital_humanities. Cambridge, MA: MIT Press, 2012. (https://archive.org/details/DigitalHumanities_201701)
D'Angelo, Robin. Fragilidad blanca. Ediciones del Oriente y del Mediterráneo, 2021.
Manchado, Marisa (ed.). Música y mujeres: Género y poder. Ménades Editorial, 2019.
Marín, Miguel Angel. “Challenging the Listener: How to Change Trends in Classical Music Programming”. Resonancias, vol. 22, n° 42, 115-130, 2018. (https://investigacion.unirioja.es/documentos/5cf121312999525b985d0461)
Mikutta, C.A.; G. Maissen, A. Altorfer W. Strik i T. Koenig. “Professional musicians listen differently to music”. Neuroscience. 268, 102-111, 2014. (https://www.ibroneuroscience.org/article/S0306-4522(14)00213-9/abstract)
Müllensiefen, D.; B. Gingras, J. Musil i L. Stewart. “The Musicality of Non-Musicians: An Index for Assessing Musical Sophistication in the General Population.” PLoS ONE 9(2), 2014. (https://doi.org/10.1371/journal.pone.0089642)
National Endowment for the Arts. Officeof Research and Analysis. Why we Engage: Attending, Creating, and Performing Art. Sept 2020. (https://www.arts.gov/sites/default/files/Why-We-Engage-0920_0.pdf)
Ramos, Pilar. Feminismo y música: Introducción crítica. Narcea Ediciones, 2003.
Sloboda, J. i O’Neill, S. “Emotions in everyday listening to music”. In: Music and emotion: Theory and researched, ed. per J. Sloboda i P.N Juslin. Oxford: Oxford University Press, 2001. 415-429.
Williamon, A.; J. Ginsborg, R. Perkins, i G. Waddell. Performing Music Research: Methods in Music Education, Psychology, and Performance Science. Oxford: Oxford University Press, 2021.
LIBRE OFFICE
Free and open-source office software will be used, specifically the Base (relational database manager) and Calc (spreadsheet) applications.
https://es.libreoffice.org/descarga/libreoffice/
GEPHI
Free and open-source software for graph and network visualization.
https://gephi.org/
VOYANT
Free and open-source software for text analysis and visualization.
https://voyant-tools.org/
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) | 1 | Catalan/Spanish | first semester | afternoon |