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This module will provide an overview of how to build a digital health intervention for behaviour change.

This module will provide an overview of how to build a digital health intervention for behaviour change.

This module will provide an overview of how to build a digital health intervention for behaviour change.

This module will provide an overview of how to build a digital health intervention for behaviour change.

London is one of the most well-known cities in the world. It has a fascinating history, growing from a relatively small development along the river Thames into the sprawling metropolis we know today. In this module we will explore the history of the city through an examination of some of its most iconic buildings. We will start in 1666, after the Great Fire of London, and journey through the developing city to the present day, ending with the opening of the Olympic Park in 2012. Each week we will focus on a particular building or geographic site, considering its physical location within the capital, the context of its design and construction – why it was built, how it was built, who and/or what it was built for – and then use the building to explore culture and society of the time of its development. We will use maps of London to enable us to situate the buildings, both geographically and historically; examine contemporary reactions to the buildings to gauge the meanings invested in them by specific individuals and groups; and consider visual materials, including prints, paintings, plans and photographs, as a means of interrogating the changing cityscape and the attitudes of contemporaries towards it.

London is one of the most well-known cities in the world. It has a fascinating history, growing from a relatively small development along the river Thames into the sprawling metropolis we know today. In this module we will explore the history of the city through an examination of some of its most iconic buildings. We will start in 1666, after the Great Fire of London, and journey through the developing city to the present day, ending with the opening of the Olympic Park in 2012. Each week we will focus on a particular building or geographic site, considering its physical location within the capital, the context of its design and construction – why it was built, how it was built, who and/or what it was built for – and then use the building to explore culture and society of the time of its development. We will use maps of London to enable us to situate the buildings, both geographically and historically; examine contemporary reactions to the buildings to gauge the meanings invested in them by specific individuals and groups; and consider visual materials, including prints, paintings, plans and photographs, as a means of interrogating the changing cityscape and the attitudes of contemporaries towards it.

In today's era of "big data", business analytics has become a key part of management decision making. Modern managers must now routinely understand the use and value of both qualitative and quantitative data in order to manage risk more effectively. This module provides an overview of the key analytical tools and techniques to improve decision-making in an uncertain business environment.

In today's era of "big data", business analytics has become a key part of management decision making. Modern managers must now routinely understand the use and value of both qualitative and quantitative data in order to manage risk more effectively. This module provides an overview of the key analytical tools and techniques to improve decision-making in an uncertain business environment.

In today's era of "big data", business analytics has become a key part of management decision making. Modern managers must now routinely understand the use and value of both qualitative and quantitative data in order to manage risk more effectively. This module provides an overview of the key analytical tools and techniques to improve decision-making in an uncertain business environment.

Programming is a structured way of giving a computer unambiguous instructions to perform specific tasks. Knowledge and experience of programming not only improves your employability but it also teaches you analytical skills such as breaking down a problem into smaller parts and recognising and reusing previously solved problems.

The purpose of this module is to equip you with the knowledge and skills for writing structured computer programs. Although these fundamentals can be achieved using any high level programming language, e.g. Java and Python, the module introduces Visual Basic for Application (VBA) as the introductory language.

VBA is a very versatile, event-driven programming language. Programmers predominantly use VBA algorithms to build customized applications and solutions for Microsoft office applications such as MS-Excel, MS-Word and MS-Access to enhance the capabilities of those applications. For example, you can build a VBA algorithm to automate the repetitive task of forecasting future demand for a product upon updating current sales data in Excel.

Although the module assumes no prior programming experience, its analytics orientation best suits students who are highly interested in problem solving, have strong analytical skills and are highly numerate. MANG1019 or MANG1007 is a pre-requisite for this module, with a mark of at least 65% being achieved.