EARI0017 |Living with hearing loss|audiological science with clinical practice

The objectives of this module:


 To introduce current thinking on disability, based on World Health Organisation definitions
 To explore how individuals...

The objectives of this module:

To introduce current thinking on disability, based on World Health Organisation definitions
 To explore how individuals experience hearing loss, drawing on research evidence and personal stories
 To introduce the concept of rehabilitation and investigate how it applies to audiological services
 To develop competency in the use of basic counselling skills
 To explore factors that influence uptake and use of hearing aids
 To introduce you to a range of communication tactics and investigate how they can best be taught to hearing impaired people
 To introduce techniques used in therapy for tinnitus and hyperacusis
 To expand your knowledge of support services for hearing impaired people
 To familiarise you with a range of alternative aids to communication
This is a compulsory module in stage 2 of the MSc / PG diploma in Audiological Science with Clinical Practice.

This module is compulsory and needs to be taken by all students completing the MSc in Oral &amp; Maxillofacial Surgery &amp; MClinDent in Oral Surgery.

This module is compulsory and needs to be taken by all students completing the MSc in Oral & Maxillofacial Surgery & MClinDent in Oral Surgery.

Aims:

This module introduces essential concepts and methods in the interdisciplinary research area of network science, with a particular focus on the...

Aims:

This module introduces essential concepts and methods in the interdisciplinary research area of network science, with a particular focus on the Internet, the World Wide Web and online social media networks.

Topics covered include: topological properties and metrics of complex networks; mathematical models of networks; evolution of Internet topology; structures of the Web; network community detection; epidemic spreading models; analysis of social media networks; temporal networks; spatial networks; signed networks and network controllability.Learning outcomes:

On successful completion of the module, a student will be able to:

Define and calculate essential network metrics;
	Describe the structure of the Internet and the Web;
	Relate graphic properties to network functions;
	Explore new angles to understand network collective behaviours;
	Design and conduct analysis on large networks;
Content:

Complex networks.
	Network graphic properties.
	Random networks.
	Small-world networks.
	Scale-free networks.
	Generative network models.
	Rich-club coefficient.
	Network mixing patterns.
	Network structural constraints.
	Network centrality.
	Internet topology and models.
	The Web structure.
	Network visualisation.
	Network community structure.
	Epidemic spreading models.
	Network controllability.
	Document networks.
	PageRank.
	Temporal networks.
	Spatial networks.
	Signed networks.
	Twitter botnets.
	Online social network analysis.
Requisites:

To be eligible to select this module as an option or elective, a student must: (1) be registered on a programme and year of study for which it is a formally available; and (2) have a strong competency in programming.