Empirical Musicologies: Data-Driven Approaches to Musical Study Final Year - AHM3314

Assessment 1: Focused classwork observations

Student contributions to discussions in seminars.

focused classwork observations

Assessment 1: Written Assignment

An annotated bibliography on an empirical musicology topic of the student’s choice.

Written Assignment

Assessment 2: Written Assignment

An essay based on a question from one of the projects, chosen by the student.

Empirical Musicologies 1: Data-Driven Approaches to Musical Study

AIM2314 - Empirical Musicologies 1: Data-Driven Approaches to Musical Study

<p>You will be introduced to a range of approaches in empirical musicology – a branch of musicology concerned more with objective knowledge and evidence than with subjective judgement. The module will help you to develop understanding and skills in handling empirical data systematically – in such fields as music analysis, music psychology, musical creativity research and music data encoding/storage/retrieval, among others – in order to address music-related questions. It will also help you to understand the nature and range of music-related research-problems which can be addressed by empirical approaches.</p>
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School of Arts and Humanities

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AHM3314 - Empirical Musicologies: Data-Driven Approaches to Musical Study Final Year

Empirical Musicologies: Data-Driven Approaches to Musical Study Final Year

Express ideas cogently and coherently and with an accurate use of English for academic purposes.

Formulate complex research problems in empirical musicology and develop methodologies for addressing them.

A sophisticated knowledge of a range of methodologies for data collection and evaluation.

An understanding of the types of music-scholarship issues which empirical musicology may be utilized to address.

Evaluate evidence in empirical musicology in order to arrive at well-supported conclusions.

A sophisticated knowledge of a range of approaches to empirical musicology and of their underlying philosophy.