FF:IM158 Computer music_practice - Course Information

IM158 Computer music_practice

Extent and Intensity

0/2/0. 4 credit(s). Type of Completion: zk (examination).

Teacher(s)

Mgr. Petr Haas, Ph.D. (lecturer)
doc. PhDr. Martin Flašar, Ph.D. (alternate examiner)

Guaranteed by

doc. Mgr. Jana Horáková, Ph.D.
Department of Musicology – Faculty of Arts
Contact Person: Bc. Jitka Leflíková
Supplier department: Department of Musicology – Faculty of Arts

Timetable

Mon 10:50–12:25 N42

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

there are 10 fields of study the course is directly associated with, display

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/ getting to know the various forms of representation of music and sound
• - symbolic representation and conventional notation
• - alphanumeric representation
• - tone duration as time, chronometric units and their quantification
• - pitch as frequency
• - 2D visualisations of structure
• b/ 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 software and 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
• c/ exercise no. 2, creating sound, sound synthesis and audio editing, using effects
• - getting to know the software and methods, formulating an intention
• - creating a synthesised sound/sequence using digital synthesis
• - processing the result in an audio editor (editing, layering, effects, etc.)
• d/ exercise no. 3, working with an auditive (acoustic) model – using the analysis of a digital recording of a sonic event as a source of structural relations for a musical composition
• - getting to know the software and methods, formulating an intention
• - creating or selecting a model (a digital or digitalised recording of a sonic event)
• - analysing 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
• e/ exercise no. 4, 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 or a synthesised sound/sequence
• - getting to know the software and methods, formulating an intention
• - creating or selecting a model (a digital/digitalised photograph, a computer drawing/graphic, digital video, etc.)
• - analysing of the model
• - sonification, transferring non-auditive data to auditive data/parameters of the structure of a musical composition
• - editing the result and creating a musical or sonic fragment
• f/ exercise no. 5, 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 software and 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

Literature

recommended literature
• MIRANDA, Eduardo Rek. Composing Music with Computers. Focal Press, 2001.
• The Sonification Handbook. Hermann, Thomas-Hunt, Andy - Neuhoff, John G. (ed.). Logos Publishing House, 2001.
• HARLEY, James. Algorithms Adapted from Chaos Theory: Compositional Consideration. ICMC Proceedings 1994.
• Contemporary Compositional Techniques and OpenMusic. Hirs, Rozalie – Gilmore, Bob (ed.). Editions Delatour France/ Ircam, 2009.
• NIERHAUS, Gerhard. Algorithmic composition: Paradigms of automated music generation. Springer, 2009.
• 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 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.
• BIDLACK, Rick. Chaotic systems as simple (but complex) compositional algorithms. Computer music journal 1992, s. 33-47.
• The OM composer´s book Vol.3. Bresson, Jean – Agon, Carlos – Gérard, Assayag (ed.). Delatour France/Ircam, 2016.
• The OM composer´s book Vol.1. Agon, Carlos – Gérard, Assayag – Bresson, Jean – (ed.). Delatour France/Ircam, 2006.

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. 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.

Language of instruction

Czech

Further Comments

The course is taught annually.

• Enrolment Statistics (Spring 2018, recent)
  
• Permalink: https://is.muni.cz/course/phil/spring2018/IM158