Measuring Economic Activity in Construction (BCPM0013)

Official data forms some of the key raw material for research in the Economics of Construction. The measurement, understanding and interpretation of the economic statistics of construction has been at the heart of the work of the Bartlett right from the work of Duccio Turin in the 1960’s which has been continued by Pat Hillebrandt and Graham Ive at UCL and inspired others elsewhere such as Ranko Bon at Reading. This module stands in that tradition. The module also relates to the research of Prof. Jim Meikle and Dr Marco Yu and is very much a case of UCL research-led teaching. Duccio Turin’s inaugural lecture in 1966 was entitled “What do we mean by building?” In addition to the work of contractors and sub-contractors, building construction activity is taken in its widest sense to include the design professions and the design and construction of physical infrastructure. Understanding i) the inter-relationship of construction with its consumers and suppliers and ii) the comparative measurement of construction activity and performance over time, place and sector, is an essential part of understanding its dynamic inter-relationship with both the local and the global economy.

 

Research Project: MRes Advanced Neuroimaging (ANIM0009)

In this module students will carry out a supervised project in the broad domain of security and crime prevention. They will have an opportunity to apply...

Project in Security and Crime Prevention (SECU0019)

In this module students will carry out a supervised project in the broad domain of security and crime prevention. They will have an opportunity to apply different research methods, and use knowledge of situational crime prevention and programming techniques. Starting with a project brief, the students will learn how to: organise a project into a set of tasks, critically assess different research methods, develop instruments for collecting data, and apply relevant computational methods to generate the sought results. Through this project, they also learn how new technologies (e.g. mobile phone apps, screening technologies, agent-based modelling) can be used to implement innovative research ideas. Finally, students will learn how to interpret the results of their work, and communicate findings in an effective manner to practitioners. This module is a strong foundation to carry out a dissertation in the field of security and crime prevention. N.B. the module SECU0016 Security Technologies is a pre-requisite for this module.