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This module explores the relationship between gender, sexuality, space and place. We will examine how the spaces we occupy are never empty or neutral, but are imbued with history, identity and meaning. Why are certain bodies understood as ‘naturally’ entitled to certain spaces, whereas others are excluded and positioned as ‘out of place’? Why are certain spaces seen as ‘masculine’ and others ‘feminine’? The module explores how processes of ‘spatial purification’ have sought to maintain rigid ideas about ‘appropriate’ gendered identities and sexualities which have historically resulted in the exclusion of certain groups such as LGBT communities and sex workers. We will also examine other ways in which gender and sexuality are implicated in processes of spatial exclusion through instances of ‘everyday sexism’ and ‘everyday homophobia’. The module also examines how the reclamation of space has been a vital tool in campaigns for gendered and sexual justice— such as ‘take back the night’ marches and the Stonewall riots. The module stresses the importance of intersectionality when thinking about the relation between identity, embodiment and place, highlighting the complex interplay of sexism, homophobia, transphobia, racism, classism and ableism. Throughout the module we will explore a number of key questions, such as: how has domestic space traditionally been designed for the nuclear family? How do cities shape our sexual lives? What would a non-sexist city look like? How can spaces be designed to be more inclusive of non-binary genders? Through grounded real-world case studies, the module shows that space matters in both historical and contemporary understandings of gender and sexuality.

This module explores the relationship between gender, sexuality, space and place. We will examine how the spaces we occupy are never empty or neutral, but are imbued with history, identity and meaning. Why are certain bodies understood as ‘naturally’ entitled to certain spaces, whereas others are excluded and positioned as ‘out of place’? Why are certain spaces seen as ‘masculine’ and others ‘feminine’? The module explores how processes of ‘spatial purification’ have sought to maintain rigid ideas about ‘appropriate’ gendered identities and sexualities which have historically resulted in the exclusion of certain groups such as LGBT communities and sex workers. We will also examine other ways in which gender and sexuality are implicated in processes of spatial exclusion through instances of ‘everyday sexism’ and ‘everyday homophobia’. The module also examines how the reclamation of space has been a vital tool in campaigns for gendered and sexual justice— such as ‘take back the night’ marches and the Stonewall riots. The module stresses the importance of intersectionality when thinking about the relation between identity, embodiment and place, highlighting the complex interplay of sexism, homophobia, transphobia, racism, classism and ableism. Throughout the module we will explore a number of key questions, such as: how has domestic space traditionally been designed for the nuclear family? How do cities shape our sexual lives? What would a non-sexist city look like? How can spaces be designed to be more inclusive of non-binary genders? Through grounded real-world case studies, the module shows that space matters in both historical and contemporary understandings of gender and sexuality.

This module aims to introduce students to a wide range of statistical models grouped by the unifying theory of generalized linear models: linear, logistic, multinomial, cumulative ordinal and Poisson regression, as well as log-linear models are presented, with emphasis on the underpinning theory and practical examples. Students are also exposed to the basic foundations of estimation for GLMs.

This module aims to introduce students to a wide range of statistical models grouped by the unifying theory of generalized linear models: linear, logistic, multinomial, cumulative ordinal and Poisson regression, as well as log-linear models are presented, with emphasis on the underpinning theory and practical examples. Students are also exposed to the basic foundations of estimation for GLMs.

In this module you will explore Generative AI, the recent advance in AI system capability that produces text, images, video, audio or software code in response to a user’s prompting. The module explains some of the novel techniques used in this form of AI (e.g. large language models, transformers, attention) and gives you the opportunity to use generative AI to solve specific problems with hands-on experience of deployment through training large language models (LLMs), prompt engineering and fine tuning.

Students will develop a responsible AI perspective by examining the problems, limitations , economic and human costs of these technologies in terms of hallucinations, energy consumption, intellectual property violations, the social impact on labour markets and challenges to the cultural sector.

The module will also address the claims made by technology leaders concerning the future evolution of Generative AI chat-bots into Artificial General Intelligence (AGI), and the so-called “existential” risks of AI.

In this module you will explore Generative AI, the recent advance in AI system capability that produces text, images, video, audio or software code in response to a user’s prompting. The module explains some of the novel techniques used in this form of AI (e.g. large language models, transformers, attention) and gives you the opportunity to use generative AI to solve specific problems with hands-on experience of deployment through training large language models (LLMs), prompt engineering and fine tuning.

Students will develop a responsible AI perspective by examining the problems, limitations , economic and human costs of these technologies in terms of hallucinations, energy consumption, intellectual property violations, the social impact on labour markets and challenges to the cultural sector.

The module will also address the claims made by technology leaders concerning the future evolution of Generative AI chat-bots into Artificial General Intelligence (AGI), and the so-called “existential” risks of AI.

This module is only compulsory for the MSc Genomics (Informatics) pathway, and optional for other pathways.

This module builds on the knowledge and experience gained from the Genomic Technologies and Basic Informatics module, introducing the Linux command line environment. Students will perform analysis of data generated by different omic technologies, particularly transcriptomic and cancer genomic data. Upon completing this module students will be in a strong position to base their MSc research project on NGS data.

This module is only compulsory for the MSc Genomics (Informatics) pathway, and optional for other pathways.
This module will allow students to develop skills in analysis of data generated by different omic technologies, particularly giving experience in the analysis of transcriptomic and cancer genomic data using command line tools.