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

Assessment 1: Focused classwork observations

Student contributions to discussions in seminars.

Focussed classroom observations

Assessment 1: Written Assignment

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

Bibliography

Assessment 2: Written Assignment

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

Essay

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

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

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.

School of Arts and Humanities

Container 1

Music

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

Empirical Musicologies 1: Data-Driven Approaches to Musical Study

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

will have knowledge of a range of approaches to empirical musicology and of their underlying philosophy.

Formulate research problems in empirical musicology and develop methodologies for ad-dressing them.

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

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

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