Key facts

UNE unit code: MUSI366

*You are viewing the 2024 version of this unit which may be subject to change in future.

Start
  • Not offered in 2024
24/7 online support
  • Yes
Intensive schools
  • No
Supervised exam
  • No
Credit points
  • 6

Unit information

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Big data opens up new horizons for musical enquiry that would not have been possible in the past. The skills and knowledge gained in this unit equip students with knowledge and skills to ask the big questions about music using digital technologies.

When studying this unit you will be introduced to concepts, approaches and techniques for studying and systematically researching music using advanced information and communication technologies.

You will focus on specific software and online tools for music data collection and analysis, and look at more generic tools for online collaboration and sharing of music research.

You will gain a working knowledge of the Python programming language, and experience in using open-access music analysis toolboxes. Project design, management and reporting is at the core of this unit.

Intensive schools

There are no intensive schools required for this unit.

Enrolment rules

Pre-requisites
MUSI235 or MUSI236 or MUSI237 or MUSI338 or MUSI341 or MUSI343 or candidature in Master of Arts (Music - Rule (b))

Notes

Please refer to the student handbook for current details on this unit.

Unit coordinator(s)

Jason Stoessel

Learning outcomes

Upon completion of this unit, students will be able to:

  1. identify current and emerging trends in digital musicology and its relationship with digital humanities;
  2. critically evaluate the design and use of Information and Communication Technology for studying music;
  3. apply developed Information and Communication Technology skills;
  4. demonstrate a working knowledge of Python and computer-assisted music analysis toolboxes; and
  5. develop key team work attributes through leading and participating in collaborative tasks using Information and Communication Technology.

Assessment information

Assessments are subject to change up to 8 weeks prior to the start of the teaching period in which you are undertaking the unit.

TitleMust CompleteWeightOfferingsAssessment Notes
Collaborative ProjectYes30%All offerings

Collaborative Project

No. Words: 1500

Music Data Encoding TaskNo20%All offerings

No. Words: 1000 (equivalent)

Project ReportYes40%All offerings

No. Words: 2500

Weekly Lab DiscussionNo10%All offerings

Weekly Lab Discussion

No. Words: 500 (equivalent)

Learning resources

Textbooks are subject to change up to 8 weeks prior to the start of the teaching period in which you are undertaking the unit.

Note: Recommended material is held in the University Library — purchase is optional.

Exploratory Programming for the Arts and Humanities

ISBN: 9780262360760

Nick Montfort, The MIT Press 2nd edn 2021

Note: eBook purchase recommended: https://mitpress.mit.edu/9780262360760/exploratory-programming-for-the-arts-and-humanities/

Text refers to: All offerings

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