8214 modules
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FILM2003 2027-28
Dark Streets and Strange Detours: Film Noir in Context
Film Noir is one of Hollywood’s perennial cult genres, yet it is notoriously difficult to define, as it essentially amounts to a retrospective invention by critics. This module will attempt an understanding of the term through reference to its cultural contexts, placing the main corpus of the genre’s classics within its original historical moment of the 1940s and 1950s, as well as exploring its later Neo-Noir and global incarnations -
HIST2253 2028-29
Darwin and the Making of Evolutionary Thought: Myth, Memory, and Modern Society
Few names in the sciences are as widely recognised as Charles Darwin. His 1859 publication On the Origin of Species laid out the modern theory of evolution and secured his place in the history books. Today, evolutionary concepts permeate society well beyond biology. Competition between businesses, for example, is often described in terms of adaptation and ‘survival of the fittest’ – though this phrase was not actually coined by Darwin in On the Origin of Species. Despite his fame, most people still know relatively little about Darwin’s life and work. For example, after the publication of Origin, Darwin went on to write at least eight more books on topics ranging from the science of emotions to the ecology of worms. Darwin’s life spanned almost the entire Victorian era, a period marked not only by the integration of science into British culture and the industrial economy, but also by the rise of mass print culture and new media, the abolition of the slave trade, and increasing challenges to religious authority. In addition, the development of Darwin’s theory was embedded within global debates about gender, environment, politics, race, and empire—discussions that both preceded and long outlasted his life.
This module examines the making of evolutionary thought in the nineteenth-century through the lens of Charles Darwin and his theory of evolution via natural selection. The aim is not to provide a straightforward biography, but to use Darwin as a focal point for exploring broader social and cultural issues central to the development of scientific modernity. In addition, this module will examine how myths and memories surrounding Darwin have been constructed throughout history, and how these constructions continue to permeate contemporary society. Organised thematically, the module will cover topics including: evolutionary theories before Darwin; evolution and gender; evolution and religion; Alfred Russel Wallace, the forgotten co-founder of evolution via natural selection; Darwin, empire and evolution beyond Britain; and evolutionary thought in the twentieth and twenty-first centuries. -
HIST2253 2027-28
Darwin and the Making of Evolutionary Thought: Myth, Memory, and Modern Society
Few names in the sciences are as widely recognised as Charles Darwin. His 1859 publication On the Origin of Species laid out the modern theory of evolution and secured his place in the history books. Today, evolutionary concepts permeate society well beyond biology. Competition between businesses, for example, is often described in terms of adaptation and ‘survival of the fittest’ – though this phrase was not actually coined by Darwin in On the Origin of Species. Despite his fame, most people still know relatively little about Darwin’s life and work. For example, after the publication of Origin, Darwin went on to write at least eight more books on topics ranging from the science of emotions to the ecology of worms. Darwin’s life spanned almost the entire Victorian era, a period marked not only by the integration of science into British culture and the industrial economy, but also by the rise of mass print culture and new media, the abolition of the slave trade, and increasing challenges to religious authority. In addition, the development of Darwin’s theory was embedded within global debates about gender, environment, politics, race, and empire—discussions that both preceded and long outlasted his life.
This module examines the making of evolutionary thought in the nineteenth-century through the lens of Charles Darwin and his theory of evolution via natural selection. The aim is not to provide a straightforward biography, but to use Darwin as a focal point for exploring broader social and cultural issues central to the development of scientific modernity. In addition, this module will examine how myths and memories surrounding Darwin have been constructed throughout history, and how these constructions continue to permeate contemporary society. Organised thematically, the module will cover topics including: evolutionary theories before Darwin; evolution and gender; evolution and religion; Alfred Russel Wallace, the forgotten co-founder of evolution via natural selection; Darwin, empire and evolution beyond Britain; and evolutionary thought in the twentieth and twenty-first centuries. -
EDUC6530 2025-26
Data Analysis for Educational Research
This module provides an overview of key approaches to the analysis of quantitative and qualitative data in education. Building on the knowledge you gained about educational research design and data collection, you will learn how to turn your data into research findings, how to ensure the quality of your analysis, and how to present and communicate your findings. -
EDUC6530 2026-27
Data Analysis for Educational Research
This module provides an overview of key approaches to the analysis of quantitative and qualitative data in education. Building on the knowledge you gained about educational research design and data collection, you will learn how to turn your data into research findings, how to ensure the quality of your analysis, and how to present and communicate your findings. -
AICE1006 2026-27
Data Analytics
Working with data of various forms is a crucial skill for all engineers and scientists. This module introduces students to working with, analysing and processing various different forms of data. The module focusses on ensuring students have a thorough grasp of the appropriate use of statistical and graphical measures to make decisions on data, and the basic practical tools and techniques required to filter, refine and query data. At its heart, this module provides the grounding for students to be able to perform Exploratory Data Analysis (EDA). -
AICE1006 2025-26
Data Analytics
Working with data of various forms is a crucial skill for all engineers and scientists. This module introduces students to working with, analysing and processing various different forms of data. The module focusses on ensuring students have a thorough grasp of the appropriate use of statistical and graphical measures to make decisions on data, and the basic practical tools and techniques required to filter, refine and query data. At its heart, this module provides the grounding for students to be able to perform Exploratory Data Analysis (EDA). -
MANG6526 2026-27
Data Analytics and Organisational Decision Making
This module is intended to provide you with a blend of theory and current practice in organisational decision making and data management. The module critically discusses the complexity of organisational decision making by identifying key concepts and relevant theories. The module examines the role of knowledge in the contemporary organisations and explore the ways it can be used for better data management. Existing models for analysing decision making processes are examined, as well as how information systems and analytical tools can be used to tap into (big) data and support and enhance decision making within different organisational contexts. -
MANG6526 2025-26
Data Analytics and Organisational Decision Making
This module is intended to provide you with a blend of theory and current practice in organisational decision making and data management. The module critically discusses the complexity of organisational decision making by identifying key concepts and relevant theories. The module examines the role of knowledge in the contemporary organisations and explore the ways it can be used for better data management. Existing models for analysing decision making processes are examined, as well as how information systems and analytical tools can be used to tap into (big) data and support and enhance decision making within different organisational contexts. -
ARTD6253 2026-27
Data Analytics for the Fashion Industry
This module will provide you with knowledge and understanding of data analytics to support decision making in modern marketing. You will explore the role of data analytics in marketing strategy and develop an insight into how to apply analytical tools to solve marketing problems, achieve ethical and sustainability goals and foster innovation. You will have the opportunity to learn through real-world case studies and experiment with different types of analytics. You will learn the principles, methods, and uses of data analytics in achieving marketing and business goals.