Competences developed in the course

Transversal Competences

CT2: Collect, analyse, synthesise and manage relevant information effectively.

CT3: Solve problems and make decisions that respond to the objectives of the work being undertaken.

CT4: Use information and communication technologies efficiently.

CT14: Master research methodologies for the development of viable projects, ideas and solutions.

General Competences

CG5: Understand the technological resources relevant to their field of activity and their applications in music, while remaining prepared to incorporate future technological developments.

CG24: Develop the capacity for lifelong self-directed learning throughout their professional career.

CG25: Understand and apply study and research methodologies that support the continuous development and innovation of their musical practice throughout their professional career.

Specific Competences

SO3: Apply technology to musical creation, performance and public dissemination, using technical resources that support sound production and organisation, as well as the different approaches, applications and functionalities underlying musical creation.

SO5: Understand and critically evaluate recent developments in music technology, assessing their implications for musical creation, performance, dissemination and reception, and design and program applications for both real-time and non-real-time composition and performance.

SO10: Be able to integrate art, technology and science, demonstrating sufficient flexibility to adapt to multiple and changing environments.

Learning outcomes (general objectives)

1. Become familiar with the range of technologies available for conducting empirical research in musicology, sonology and related disciplines.
2. Understand procedures for collecting, capturing and adapting data so that they can be processed using digital information-processing tools.
3. Understand formal methods for analysing and modelling different types of data generated in musical performance, creation, dissemination and listening contexts.
4. Learn to draw quantitative conclusions from data generated in diverse musical contexts and evaluate the extent to which these conclusions can be generalised using digital technologies and computational tools.

Contents

Methods and techniques of empirical research. Data digitisation: text, musical scores, audio and video. Fundamentals of statistics and computational models. Technologies for the automatic analysis of musical scores. Technologies for the analysis of audio recordings. Data visualisation technologies. Information retrieval technologies.

Teaching methodology

Teaching and learning combine lectures (presentation of course content), discussion and seminar sessions, group work and student presentations.

Assessment systems

Assessment is based on continuous assessment, founded on an initial diagnostic assessment and culminating in a summative assessment that determines the final grade. Continuous assessment is carried out through a range of assessment activities, including class participation and engagement, presentations, assignments and/or readings completed outside class, submission of written work, and written or oral examinations.