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MUSONIC 3310 - Computer Music Composition 3

North Terrace Campus - Semester 2 - 2024

This course examines of the link between human-computer interaction and the creative and technical practice of sound and music making. This course will develop a theoretical and practical understanding of computer music composition. Focus is placed on acquiring programming skills for implementation of compositional algorithms. Students will engage with a number of topics, including conceptual frameworks, contemporary practices and practitioners; complete readings and listening; and perform practical exercises that promote investigative learning and research. The course has the following learning objectives: facilitate new understandings and exploratory approaches in sonic arts practice; extend knowledge and develop new artistic and technical skills in human computer interaction and sound and music; and promote a learning process and reflexive skill set with regard to future practice, thus enabling students to adapt to the ever expanding and rapidly changing area of sonic arts and related areas of computer music.

  • General Course Information
    Course Details
    Course Code MUSONIC 3310
    Course Computer Music Composition 3
    Coordinating Unit Elder Conservatorium of Music
    Term Semester 2
    Level Undergraduate
    Location/s North Terrace Campus
    Units 3
    Contact Up to 4 hours per week
    Available for Study Abroad and Exchange Y
    Prerequisites MUSONIC 1000
    Assessment Portfolio 35%, Research paper 35%, Project 30%
    Course Staff

    Course Coordinator: Mr Stephen Whittington

    Course Coordinator / Workshop Instructor
    Christian Haines
    christian.haines@adelaide.edu.au
    Schulz 9.11

    Lecturer
    Stephen Whittington
    stephen.whittington@adelaide.edu.au
    Course Timetable

    The full timetable of all activities for this course can be accessed from .

  • Learning Outcomes
    Course Learning Outcomes

    Upon successfully completion of this course students should be able to:
    1 to develop an awareness of the historical context in which computer-assisted composition evolved and its development to the present day.
    2 to allow students to explore creative methods using computers, leading to the creation of software andthe composition of musical works.
    3 to develop an understanding of the underlying principles of computing and music viewed as formal systems.
    4 to develop an understanding of the various ways in which computers can assist in the process of musical composition.
    5 to enhance problem solving skills in the field of computer composition.
    6 to allow students to explore creative methods using computers, leading to the composition of musical works.
    University Graduate Attributes

    This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:

    University Graduate Attribute Course Learning Outcome(s)

    Attribute 1: Deep discipline knowledge and intellectual breadth

    Graduates have comprehensive knowledge and understanding of their subject area, the ability to engage with different traditions of thought, and the ability to apply their knowledge in practice including in multi-disciplinary or multi-professional contexts.

    1,2

    Attribute 2: Creative and critical thinking, and problem solving

    Graduates are effective problems-solvers, able to apply critical, creative and evidence-based thinking to conceive innovative responses to future challenges.

    2,3,4,5

    Attribute 3: Teamwork and communication skills

    Graduates convey ideas and information effectively to a range of audiences for a variety of purposes and contribute in a positive and collaborative manner to achieving common goals.

    3,4

    Attribute 4: Professionalism and leadership readiness

    Graduates engage in professional behaviour and have the potential to be entrepreneurial and take leadership roles in their chosen occupations or careers and communities.

    6

    Attribute 5: Intercultural and ethical competency

    Graduates are responsible and effective global citizens whose personal values and practices are consistent with their roles as responsible members of society.

    6

    Attribute 6: Australian Aboriginal and Torres Strait Islander cultural competency

    Graduates have an understanding of, and respect for, Australian Aboriginal and Torres Strait Islander values, culture and knowledge.

    .

    Attribute 7: Digital capabilities

    Graduates are well prepared for living, learning and working in a digital society.

    .

    Attribute 8: Self-awareness and emotional intelligence

    Graduates are self-aware and reflective; they are flexible and resilient and have the capacity to accept and give constructive feedback; they act with integrity and take responsibility for their actions.

    6
  • Learning Resources
    Required Resources
    Hardware
    • USB Stick or portable hard drive with enough capacity to store files associated with the course and formatted as "exFAT" to provide suitable compatability between MacOS and Windows.
    • Stereo headphones with a 6.5mm male adaptor. Recommended Type: Closed-Back, Over-the-Ear  Headphones.
    • Note – students must bring both their USB storage and Headphones (with adaptor) to university, as they are required for various classes, completing exercises and for using laboratories and studios.
    Sound Levels & Hearing Protection
    This course may require using spaces where a dB meter has been installed. If you exceed the set dB limit for the space, the lights will flash.  Students found exceeding these levels will have their booking privileges revoked for two weeks, and repeat offenders may have their booking privileges revoked for the remainder of the academic year.

    In order to minimise risk in noise-prone situations, the Conservatorium makes both reusable gel ear-plugs and disposable foam ear-plugs available to students and staff free of charge at all times. Students and staff are also urged to consider purchase of customised personal hearing protection.

    For more information regarding sound levels, hearing and hearing loss please refer both to the full content of the O'Brien Report and to the excellent publication by Canadian audiologist/academic Marshall Chasin, entitled Hear the Music: Hearing Loss Prevention for Musicians both available here: 

    Recommended Resources
    Books

    Collins, Nick. Introduction to Computer Music. Chichester, U.K.: John Wiley & Sons, 2010.

    Elsea, Peter author. The Art and Technique of Electroacoustic Music. A-R Editions, Inc., 2013.

    Essl, Karlheinz. Algorithmic Composition. Cambridge University Press, 2007. doi:10.1017/CCOL9780521868617.008.

    Manning, Peter. Electronic and Computer Music. New York: New York: Oxford University Press, 2004. doi:10.1093/acprof:oso/9780199746392.001.0001.

    Miranda, Eduardo Reck editor, and John Al editor Biles. Evolutionary Computer Music. Springer London, 2007.

    Miranda, Eduardo Reck editor, and Eduardo Reck editor Mirando. A-Life for Music : Music and Computer Models of Living Systems. A-R Editions, 2011.

    Nierhaus, Gerhard editor. Patterns of Intuition Musical Creativity in the Light of Algorithmic Composition. Springer Netherlands : Imprint: Springer, 2015.

    Pareyon, Gabriel, Silvia Pina-Romero, Octavio A. Agustín-Aquino, and Emilio Lluis-Puebla. The Musical-Mathematical Mind : Patterns and Transformations. Cham: Cham: Springer, 2017. doi:10.1007/978-3-319-47337-6.

    Roads, Curtis. The Computer Music Tutorial. Cambridge, Mass.: MIT Press, 1996.

    ———. Microsound. Cambridge, Mass.: MIT Press, 2001.

    ———. Composing Electronic Music a New Aesthetic. Oxford University Press, 2015.

    Rowe, Robert. Machine Musicianship. Cambridge, Mass.: MIT Press, 2001.

    Taube, Heinrich. Notes from the Metalevel : An Introduction to Computer Composition. London: London: Routledge, 2004. doi:10.4324/9781315078182.

    Wilson, Scott Nov, Nick Collins, and David Cottle. The Supercollider Book. Cambridge, Mass.: MIT Press, 2011.

    Websites
    • SuperCollider.  2019. 18 July 2019. <>.
    Listening
    Students can listen to musical works through the library's Naxos subscription (see library catalogue, search using Naxos as the title and limit search to ‘electronic resources’. You will be prompted to enter your uni ID number and password to access the Naxos catalogue). There is a wealth of material available for listening (but not downloading). The link to the Naxos catalogue is as follows:
    Library
    The Music Collection is located in the Barr Smith Library (Level 1 South) and is an excellent source for music, literature and recordings: /library/collections/music-collection

    Referencing Guide
    Bibliography and references are to be cited according to the Music Referencing Guide: 
    Online Learning

    MyUni is a crucial part of this course and will provide students with access to assessment and learning materials, such as quizzes, discussion boards, slide presentations, readings, links, sound and video. Materials will be provided on a topic-by-topic basis over the semester: .

  • Learning & Teaching Activities
    Learning & Teaching Modes

    The course structure and content is delivered through a range of classes and materials. The classes in this course consist of lectures and workshops.

    Lecture

    • Lectures will deliver a specific topic each week. The topic will consist of ideas and concepts; technologies; and  practitioners in the field. Students must view the  lecture prior to the attending the workshop.

    Workshop

    • Workshops will explore a wide range of practical aspects of the course and its associated topics and concepts.
    • Students will be set regular practical tasks as part of their portfolio assessment and maybe required to present their work during the workshop.
    • Although workshops will from time to time contain presentations from the instructor, the workshop will largely be an opportunity for students to obtain assistance with their practical and creative development and practice. Students need to actively and on a week-by-week basis maintain their practical and creative development, using the workshop to raise issues and solve problems.
    • Finally, the workshops provide a forum by which students can begin to explore their own ideas and practice using lecture materials as inspiration and points of departure.
    Further, students will be presented with additional theoretical and/or practical materials. The materials expand on the topic and compliment, reinforce and extend the concepts presented.
    Workload

    The information below is provided as a guide to assist students in engaging appropriately with the course requirements.

    This course consists of up to 32 hours of online or direct contact or structured non-contact where students will play an active role in the practice, refinement, consolidation and extension of their knowledge and understanding. This includes lectures: 1 hour per week over 12 weeks & workshops: 2 hours per week over 10 weeks. In addition students will spend a minimum of 124 non-contact hours over the duration of the course on self-initiated learning and research, reading, writing, practice and assessment in order to pass the course, making the minimum workload 156 hours.

    Learning Activities Summary

    Topics

    1. Machine Music
    2. The history of programmable machines (Jacquard looms, automata etc);Babbages Difference and Analytical Engines;Turing machines; universal computers; the limits of computation; indeterminacyand incompleteness; the Turing test applied to music.
    3. Music and mathematics; music, mathematics, geometry and logic as formalsystems or abstractsystems of thought; logical operations; weird computers; symmetry and form;group theory; pitch and temporal symmetry; the symmetry of scales.
    4. Probability and random processes: randomness and pseudo-randomness;probabilitydistributions; conditional probabilities; John Cage and I Ching computation.
    5. Simple algorithmic procedures applied to composition; deterministic andprobabilisticalgorithms.
    6. The physical and psycho-acoustic foundations of tuning; frequency vs. pitch;pitch as adimension of timbre; quantum indeterminacy and the limits of tuning; theimplementation of tuning systems in synthesizers and comput
    7. Composition as process: rule-governed composition from ancient models to themodern era.
    8. The early history of computer music composition. Early programminglanguages: MUSIGOL,MUSIC IV, MUSIC V; Lejaren Hiller: Illiac Suite. James Tenney: Stochastic Quartet. Charles Dodge: EarthsMagnetic Field. Xenakis: SMP (Stochastic Music Program.)
    9. Markov models in computer music.
    10. Generative grammar in computer music.
    11. Artificial neural networks and artificial intelligence in computer music.

    Learning Outcomes

    • Knowledge of the historical context of computer music
    • Ability to analyse formal systems and apply them to music
    • Ability to apply algorithmic methods to musical composition
    • Ability to write programs to realise compositions with algorithmic structures
    • Ability to solve problems in programming and implementation
    • Ability to distinguish between technical and aesthetic aims, and to be able to articulate both aspects of a project
    Specific Course Requirements
    EMU Facilities Access Provisions

    This course will involve using the resources of the Electronic Music Unit (EMU). This includes facilities such as studios, recording spaces and digital audio workstations.

    In order for students to complete the course they must gain ongoing and permanent access to EMU. Access and use of EMU is based upon  completing the EMU Access Test.

    More information can be found here:

    Other Expectations

    Except where otherwise indicated by the lecturer, tutor or workshop instructor – mobile phones, laptops, PDAs, recording devices and other similar technology must be switched off before lessons or classes begin, and kept off for the duration.

  • Assessment

    The University's policy on Assessment for Coursework Programs is based on the following four principles:

    1. Assessment must encourage and reinforce learning.
    2. Assessment must enable robust and fair judgements about student performance.
    3. Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
    4. Assessment must maintain academic standards.

    Assessment Summary
    Name Description  Due %

    Learning
    Outcomes

    Type
    Portfolio Creative Programming Exercises are progressive exercises developing skills in specific programming techniques which will be completed weekly throughout the semester. Ongoing 30 4,5 Summative
    Creative Project The major project will be a composition implementing ideas presented during this course. It should be realised using the SuperCollider programming language. The composition must demonstrate a clear understanding of major concepts, and include both the use of algorithmic composition procedures, and the use of a tuning system other than equal temperament. Week 14 35 1,2,4,5 Summative
    Research Paper The research project will be an essay on a topic relevant to this course. The project may be related to a composer, an approach to computer-assisted composition, a specific example of computer music, or to a philosophical topic related to computer music. It is expected that this research will also inform the major project composition. Week 15 35 1, 3, 4 Summative

    Due Dates:
    Specific information regarding due dates is provided on myUni.

    Formative Assessment:
    Classes will contain embedded formative assessment tasks that may include student presentations, discussions, practical exercises, demonstrations and out-of-class work that will enable students to engage with the practical and theoretical concepts presented in order to complete their summative assessments.

    Assessment Related Requirements
    Hurdle Assessment

    All students must complete the requirements under “SPECIFIC COURSE REQUIREMENTS ‘EMU Facilities Access Provisions’”. Students who fail to complete these items may be deemed to have failed the course.

    Attendance Expectation & Penalty

    Students are expected to attend all classes. If a student fails to attend at least 70% of tutorials or workshops in a course the student may be deemed to have failed that course, irrespective of assessments completed. Students who arrive 10 minutes or later after the start of a class will be marked as absent.

    Leave of Absence – Sickness, Compassionate and Professional Development

    Extenuating circumstances may occasionally affect a student’s ability to participate in a rehearsal, workshop, class, lecture, tutorial or performance. In such cases a student should email their course coordinator regarding the circumstances within 7 days and include the following information:

    • Type of Leave: Sick Leave, Compassionate Leave or Professional Development Leave
    • Student Name
    • Student ID
    • Dates of Leave
    • Total Number of Days
    • Reason for Absence
    • Supporting Documentation (e.g. medical certicificate, counsellor note etc)
    Assessment Detail
    Refer to “ASSESSMENT SUMMARY”
    Submission
    Assessments and Exams

    Students must be available during the identified University teaching, academic and examination periods. Students are not entitled to sit an examination or submit an assessment at another time, nor are they entitled to any other concessions if an examination or assessment conflicts with a planned vacation or special event. Results from assessments and examinations are usually sent to students via email and/or myUni.

    Late Submission

    Assignments where late submissions are permitted and that are submitted after the due date and time will incur a 2% penalty (from the assignment total of 100%) per day (24 hour period) for a maximum of 7 days (including weekends and public holidays )

    Example:
    • an assignment that is 3 days late: raw score of 80% - 6 marks lateness deduction = 74% final mark.
    Note:
    • typically this does not apply to assessments where the assessment is conducted at a fixed time and location, such as an exam, workshop, practical test, performance or presentation – please refer to the individual assessments for further information.
    • for work with a formal extension, these penalties will apply from the extended due date.
    Cut-off date

    There will be a cut-off date for each assignment 7 days (including weekends and public holidays) after the original due date unless otherwise stipulated on MyUni. Work will not be accepted after the cut-off date, and a mark of zero will automatically be awarded for the assignment.

    Course Grading

    Grades for your performance in this course will be awarded in accordance with the following scheme:

    M10 (Coursework Mark Scheme)
    Grade Mark Description
    FNS   Fail No Submission
    F 1-49 Fail
    P 50-64 Pass
    C 65-74 Credit
    D 75-84 Distinction
    HD 85-100 High Distinction
    CN   Continuing
    NFE   No Formal Examination
    RP   Result Pending

    Further details of the grades/results can be obtained from Examinations.

    Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.

    Final results for this course will be made available through .

  • Student Feedback

    The University places a high priority on approaches to learning and teaching that enhance the student experience. Feedback is sought from students in a variety of ways including on-going engagement with staff, the use of online discussion boards and the use of Student Experience of Learning and Teaching (SELT) surveys as well as GOS surveys and Program reviews.

    SELTs are an important source of information to inform individual teaching practice, decisions about teaching duties, and course and program curriculum design. They enable the University to assess how effectively its learning environments and teaching practices facilitate student engagement and learning outcomes. Under the current SELT Policy (http://www.adelaide.edu.au/policies/101/) course SELTs are mandated and must be conducted at the conclusion of each term/semester/trimester for every course offering. Feedback on issues raised through course SELT surveys is made available to enrolled students through various resources (e.g. MyUni). In addition aggregated course SELT data is available.

  • Student Support
  • Policies & Guidelines
  • Fraud Awareness

    Students are reminded that in order to maintain the academic integrity of all programs and courses, the university has a zero-tolerance approach to students offering money or significant value goods or services to any staff member who is involved in their teaching or assessment. Students offering lecturers or tutors or professional staff anything more than a small token of appreciation is totally unacceptable, in any circumstances. Staff members are obliged to report all such incidents to their supervisor/manager, who will refer them for action under the university's student鈥檚 disciplinary procedures.

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