This module will:

address leading and co-ordinating Special Education Needs (SEN) provision within schools, specifically 'The principles and practice of leadership in different contexts'
	reflect upon the SEN Co-ordinator (SENCo) role in working with pupils, colleagues, parents/carers and other agencies
	develop theoretical understanding of management of change and how to apply this to practice.
	There are multiple cohorts of this module - class size of each cohort is approx 35

Modern computers are incredibly powerful and fast, capable of executing many billions of operations each second. Although fast, they are not intelligent:...

Programming in R: Applications for Speech Data Processing (PALS0047)

Modern computers are incredibly powerful and fast, capable of executing many billions of operations each second. Although fast, they are not intelligent: computers need to be told exactly what to do in order to carry out their job correctly. Programming is the process of creating a set of instructions that tell a computer exactly how to perform a given task. The ability to program is becoming increasingly important for speech and language researchers, and experience with programming substantially increases one’s marketability to potential employers both in academia and in industry. This module provides an introduction to programming methods and practices in R, a powerful computing language that is used by scientists throughout the world. Rather than learning programming principles through working with generic data sets and seeking research goals that may not be applicable to speech science (as might be encountered in introductory programming modules in external faculties), PALS students will learn programming fundamentals through the lens of speech science research. By working with a wide range of speech data and tackling real problems faced in analysing such data, the skills gained in this module will be immediately applicable to research in the field of speech science. Topics will include an introduction to the R environment; variables, functions, and classes; statements; parametrization; and data wrangling. The course is designed for psychology and linguistics students with little to no prior programming expertise.

 