8251 modules
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COMP6263 2025-26
Cyber Security and Machine Learning
This module covers two aspects of a pivotal intersection: applying security to defend machine learning and leveraging machine learning to enhance security.
The aims at a high level are to:
- Investigate security issues around machine learning systems
- Review a variety of defence mechanisms for machine learning systems
- Explore the use of machine learning in cyber security -
COMP6263 2029-30
Cyber Security and Machine Learning
This module covers two aspects of a pivotal intersection: applying security to defend machine learning and leveraging machine learning to enhance security.
The aims at a high level are to:
- Investigate security issues around machine learning systems
- Review a variety of defence mechanisms for machine learning systems
- Explore the use of machine learning in cyber security -
FILM2003 2026-27
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 -
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 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. -
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. -
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).