This module aims to provide an overview of the anatomy and physiology of voice, respiration, neurology and muscular contribution to voice as well as vocal assessment methods. Students are familiarised with voice care and how they may be able to help and advise vocal performers. This module is also available for the Distance Learning PGCert.

Module Content and Indicative Topics 

This course offers an introduction to key aspects of global Hispanic history and culture from the late medieval...

Introduction to Spanish and Latin American Studies (SPAN0015)

Energy Materials|Material Science|Materials Manufacturing|Materials Processing

Artificial learning|Machine Learning|Data-driven Materials Discovery|Materials Modelling|Materia

The module on Machine Learning and Data-driven Materials Science consists of a comprehensive exploration of the most effective data-driven techniques to solve...

Machine Learning and Data-Driven Materials Science (NSCI0028)

The module on Machine Learning and Data-driven Materials Science consists of a comprehensive exploration of the most effective data-driven techniques to solve problems in the field of regression, classification, dimension-reduction, feature extraction and clustering with particular applications to Materials Science. It provides students the essential state-of-art of machine learning techniques such as foundations of deep learning, supervised learning (on/off-line learning, linear ridge regression, neural networks, support vector machines, kernel, Bayesian Learning) unsupervised learning (clustering, granular computing, dimensionality reduction) and data feature extraction. The applications of fundamental knowledge from machine learning will be demonstrated through case studies in materials science using data from real experiments and public materials data repositories.

Forecasting is a fundamental business skill. Forecasts of the future are used in all areas of business, from operations and finance to marketing and...

Data Analytics II (Machine Learning and Forecasting) (MSIN0025)