Leading Learning in Communities (CCME0023)

This module focuses on engaging more deeply with the community context in which the participant’s placement school is situated. There will be a consideration of the ethical and practical aspects of researching communities and we will consider what could be seen as common barriers and assets within communities. There will also be an exploration of misconceptions and stereotypes linked to communities and the barriers they may face. Social mobility and its meaning and purpose will be explored from different perspectives.

Aims:

You will develop an understanding of a range of teaching, learning and assessment methods and to synthesise the findings of your school-based research...

Wider Educational Studies - Music (CCME0014)

Aims:

You will develop an understanding of a range of teaching, learning and assessment methods and to synthesise the findings of your school-based research with recent and relevant theory and policy in the field of Music Education.

Outcomes:

You will:

- Undertake project work in your school placement

- Reflect critically on your own experiences as teachers

- Develop your subject knowledge and subject pedagogy in the context of your professional practice.

Cities are on the frontlines of global climate change and their decision-makers are key actors driving global efforts to address climate change. Globally,...

Urban Building Energy Modelling (BENV0150)

Cities are on the frontlines of global climate change and their decision-makers are key actors driving global efforts to address climate change. Globally, buildings are responsible for 40% of carbon emissions making Urban Building Energy Models critical data driven tools for enabling this action.  
This module provides an introduction to analysing and predicting building energy demand at the urban scale. You will learn the core concepts of Geospatial Information Systems and how to apply them to the representation and analysis of urban building energy data.  
You will explore large urban data sets and by the end of the course will be able to evaluate and process geographic data from a wide range of sources to understand energy consumption and assess the impact of interventions at the urban scale.  The core aims of the module are to
•    Understand potential urban data sources and their application to building energy models
•    Develop an ability to use geospatial information systems to manage urban data
•    Explore the complexity of urban data and introduce strategies for dealing with this
•    Develop an understanding of work flows to implement urban building energy models
You will need to have a basic understanding of building physics (such as that acquired from Term 1 MSc modules e.g. Fundamentals of Smart Energy and the Built Environment) with a good level of numeracy and computer literacy.  No specific programming skills are required.
 