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Class Musical Informatics: Composition, Research and Performance

  • Presentation

    Presentation

    Music informatics allows the exploration of a vast interdisciplinary field, through problems that are situated on the border between music and various scientific disciplines, such as computer sciences, cognitive sciences, mathematics or acoustics. In this discipline, students acquire specific skills for composition, research and/or performance in computer music, including knowledge of sound programming languages which become the tools to a final project. Timbre, space and, mainly, automation are the fundamental dimensions of music in the 20th and 21st centuries, expressing a proliferation of aesthetics and computational technologies. It is intended that students develop critical skills about the in-depth use of computers and their relationship with sound, through theoretically reflecting on the proposed problems as well as carrying out activities of a practical nature.

  • Code

    Code

    ULHT2722-16194
  • Syllabus

    Syllabus

    This course is centered on musical informatics through three fundamental axes: Composition, Research and Performance.
    The program seeks to discuss the role of automation in today's music, reflecting on the evolution of electronic music, its numerous languages, technologies and aesthetics, from musique concrète to computer music.
    It addresses, among other topics:
    1. Algorithms in Sonic Arts.
    2. Computer-assisted musical composition;
    3. Algorithmic score generation.
    4. Probabilities and Grammars.
    5. Interactive algorithms.
    6. Chaos and Fractals.
    7. Neural Networks and music.
    8. Genetic Algorithms and Evolutionary musicology.
    9. Sound and Artificial Intelligence
    These topics are open, working as stimuli for students. Within one of the three major areas of the discipline, students should carry out, autonomously, a theoretical/artistic/technical investigation, considering the associated technological resources as well as the resulting performative and aesthetic modes.

  • Objectives

    Objectives

    -Acquire skills to independently conduct research related to the subjects and the proposed practical work, developing methodologies related to creative work.

    -Deepen the knowledge in sound programming languages

    -Develop skills in analysis and criticism of artistic objects that include new musical technologies as a means of expression.

    -Framing technological procedures in the context and practice of music computing

    -Understand the role of timbre, space and automation for the current situation of music and sound studies

  • Teaching methodologies and assessment

    Teaching methodologies and assessment

    The teaching methodology consists of theoretical classes (using audiovisual and multimedia materials) and practical classes, centered on musical informatics. In addition to the theoretical exposition, advanced computer languages will be used, concerning sound programming, such as Supercollider or FAUST.

  • References

    References

    Barlow, C. (2012) On Musiquantics  Musicological Institute of the University of Mainz

    Cottle, D. M. (2006) Computer Music with examples in SuperCollider 3. University of California 

    Licata, T. (ed.) (2002) Electroacoustic Music. Analytical Perspectives. Praeger 

    Miranda. E. R. (2001) Composing music with computers. Focal Press

    Nierhaus, G. (2009) Algorithmic Composition. Paradigms of Automated Music Generation. Springer

    Roads, C. (2002) Microsound. MIT Press

    Xenakis, I. (1992) Formalized Music. Thought and mathematics in composition. Pendragon Press

    Wilson, S., Cottle, D. and Collins, N. (eds). (2011). The SuperCollider Book. Cambridge, MA: MIT Press

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