TIM_M_015 Computer music_practice

Faculty of Arts
Spring 2024

The course is not taught in Spring 2024

Extent and Intensity
0/2/0. 3 credit(s). Type of Completion: z (credit).
Teacher(s)
Mgr. Petr Haas, Ph.D. (lecturer)
doc. PhDr. Martin Flašar, Ph.D. (alternate examiner)
Guaranteed by
Mgr. Petr Haas, Ph.D.
Department of Musicology – Faculty of Arts
Contact Person: Bc. Jitka Leflíková
Supplier department: Department of Musicology – Faculty of Arts
Prerequisites
The students will need their own Mac or PC laptop and headphones, the software used is open source / freeware. An interest in creating music and basic computer skills are supposed.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 50 student(s).
Current registration and enrolment status: enrolled: 0/50, only registered: 0/50, only registered with preference (fields directly associated with the programme): 0/50
fields of study / plans the course is directly associated with
Course objectives
The aim is to acquire basic skills using common tools and methods used in areas of intersection between digital technologies and artificial music. The aim is realised through practical assignments, the primary output is experience with the use of the computer, the secondary output a musical fragment created by the student.
Syllabus
  • A_object-oriented visual programming language OpenMusic (OM)
  • - getting to know the various forms of representation of music and sound
  • -basic routines
  • -basic list processing
  • A1_exercise no. 1, creating a musical fragment by composing frequencies and chronometric units, using the practices of spectral music, creating symbolic representations
  • - getting to know the methods, formulating an intention
  • - creating a chord through frequency modulation, harmonisation using a virtual fundamental
  • - working with durations in chronometric units
  • - creating a symbolic representation
  • A2_exercise no. 2, working with an auditive (acoustic) model – using the spectral analysis of a digital recording of a sonic event as a source of structural relations for a musical composition
  • - getting to know the methods, formulating an intention
  • - getting to know the SPEAR software
  • - creating or selecting a model (a digital or digitalised recording of a sonic event)
  • - spectral analysing of the model
  • - extracting the frequency arrangement and transferring the data to the parameters of the structure of a musical composition
  • - editing the result and creating a musical fragment
  • A3_exercise no. 3, sonification, using a non-auditive (non-acoustic) model – using the structure of its digitalised representation as a source of structural relations of a musical composition, using General Midi
  • - getting to know the methods, formulating an intention
  • - creating or selecting a model (a digital/digitalised photograph, a computer drawing/graphic etc.)
  • - analysing of the model
  • - sonification, transferring non-auditive data to parameters of the structure of a musical composition
  • - editing the result and creating a musical fragment
  • -instrumentation via General Midi
  • A4_ exercise no. 4, using algorithms from the natural sciences and other so-called non-musical areas (models of random processes, chaotic/dynamic systems), their use as generators of structural relations in a musical composition
  • - getting to know the methods
  • - selecting algorithms and formulating an intention
  • - creating entry data and converting output data to parameters of the structure of a musical composition
  • - editing the results and creating a musical fragment
  • B_visual programming language PureData (Pd)
  • - getting to know the various forms of representation of sound
  • - basic routines
  • B1_ exercise no. 5, sound synthesis, creating a electronic sound sequence and audio editing
  • - getting to know the methods, formulating an intention
  • - creating a synthesised sound/sequence using digital synthesis (creation of a synthesizer)
  • - processing the result in an audio editor (editing, layering, effects, etc.)
Literature
    recommended literature
  • DONIN, Nicolas. Sonic Imprints: Instrumental Resynthesis in Contemporary Music. In Musical Listening in the Age of Technological Reproduction. Borio Gianmario (ed.). Taylor and Francis Group 2015, s. 323–341.
  • The Sonification Handbook. Hermann, Thomas-Hunt, Andy - Neuhoff, John G. (ed.). Logos Publishing House, 2001.
  • Contemporary Compositional Techniques and OpenMusic. Hirs, Rozalie – Gilmore, Bob (ed.). Editions Delatour France/ Ircam, 2009.
  • The OM composer´s book Vol.2. Bresson, Jean – Agon, Carlos – Gérard, Assayag (ed.). Delatour France/Ircam, 2008.
  • SANDRED, Örjan. The Musical Fundamentals of Computer Assisted Composition. Audiospective Media, 2007.
  • The OM composer´s book Vol.1. Agon, Carlos – Gérard, Assayag – Bresson, Jean – (ed.). Delatour France/Ircam, 2006.
  • The OM composer´s book Vol.3. Bresson, Jean – Agon, Carlos – Gérard, Assayag (ed.). Delatour France/Ircam, 2016.
  • BIDLACK, Rick. Chaotic systems as simple (but complex) compositional algorithms. Computer music journal 1992, s. 33-47.
  • HARLEY, James. Algorithms Adapted from Chaos Theory: Compositional Consideration. ICMC Proceedings 1994.
Teaching methods
tutorials, class discussion
Assessment methods
The students are assessed on the basis of exercises presented in the seminars (the result is compared with the student’s intention), at least three exercises completed in the seminar are needed to fulfil the course requirements. One of these exercises must be exercise no.5. Depending on the number of registered students, the individual assignments will be finished in the seminar or as homework and handed in to the homework vault of course IM158.

Min. 50% attendance is required for completion of the course.
Language of instruction
Czech
Further Comments
The course is taught only once.
The course is taught: every week.
The course is also listed under the following terms Spring 2020, Spring 2021, Spring 2022.
  • Enrolment Statistics (Spring 2024, recent)
  • Permalink: https://is.muni.cz/course/phil/spring2024/TIM_M_015