Course Catalogue

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This course will explore how scholars and practitioners use musical data, both in audio and notated formats. Students will be given the opportunity to develop skills in encoding, analysing, categorizing, and curating music recordings and notated music. These skills will be developed by encouraging an intimate understanding of the nature of different musical formats, an appreciation of their uses, and approaches to computational analyses of their electronic manifestations.

1x1hr lecture and 1x1hr seminar or lab session per week as scheduled in MyCampus. This is one of the Honours Information Studies options and may not run every year. The options that are running this session are available in MyCampus.

Available to all students fulfilling requirements for Honours entry into Digital Media and Information Studies, and by arrangement to visiting students or students of other Honours programmes who qualify under the University's 25% regulation.

ARTMED4038 Music Curation and Analytics

INFOSTUD4014 Music Curation and Analytics

None

The standard assessments for this course are:

■ Project Output Dataset: Students will have to complete an analytical project based on a digital dataset

■ Report: The dataset will be accompanied with a report of 2,500 words

■ Project Output Dataset 60%

■ Report: 40%.

If required, for instance where a disability prevents a student from undertaking a specific method of assessment, the following alternatives are available:

■ There is no alternative to the assessments, but flexible deadlines can be offered as reasonable adjustments (students should follow the usual process for extensions)

Further reasonable adjustments may be provided where necessary. Students are encouraged to consult with the course convenor.

This course aims to:

■ deliver an introduction to digital methodologies in music analysis and curation, and the ways music data is manifested and visualized;

■ explain and apply methods for analyzing digital audio data;

■ explore the principles and best practice of notated music encoding, such as using XML;

■ provide training in methods of encoded notated music analysis;

■ apply relevant and appropriate encoding and analytics

By the end of this course, students will be able to:

■ formulate relevant research questions for music data;

■ assess how encoding and computational analyses can help answer research questions about music data;

■ evaluate how digital manifestations can change the ways in which music is used and analysed;

■ judge the effectiveness of computational methodologies in music research;

■ design and apply an appropriate encoding to a musical score, such as XML;

■ identify and implement standards and best practices generally accepted by the research community;