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ENGL2107 2026-27
Decolonising Modernity
Literary history is often told in epochs. In particular, it can be useful to understand the world in relation to some or other idea of 鈥渕odernity鈥: for example, English literary studies is often organised through conceptions of the early modern, the modern, and the post-modern. But many influential constructions of modernity assume and promote Eurocentric ideas of progress, development, and history. This module invites you to interrogate these ideas. The module begins with work that reveals the cultures of violence and inequity that are instituted by imperialist constructions of modernity and civilisation. You will then learn to work with debates that have been conducted through formulations of 鈥榩ostcolonial studies鈥, 鈥榮ubaltern studies鈥, 鈥榙iaspora studies鈥, 鈥榳orld systems鈥, 鈥榟istory wars鈥, 鈥榳orld literature鈥 and 鈥榙ecolonisation鈥. Across the module, you will explore fictions of various genres from Africa, the Americas, Australia and other parts of the world, and you will consider the importance of literature to debates about race, law, identity, belonging, political and economic geography, and citizenship. -
ENGL2107 2028-29
Decolonising Modernity
Literary history is often told in epochs. In particular, it can be useful to understand the world in relation to some or other idea of 鈥渕odernity鈥: for example, English literary studies is often organised through conceptions of the early modern, the modern, and the post-modern. But many influential constructions of modernity assume and promote Eurocentric ideas of progress, development, and history. This module invites you to interrogate these ideas. The module begins with work that reveals the cultures of violence and inequity that are instituted by imperialist constructions of modernity and civilisation. You will then learn to work with debates that have been conducted through formulations of 鈥榩ostcolonial studies鈥, 鈥榮ubaltern studies鈥, 鈥榙iaspora studies鈥, 鈥榳orld systems鈥, 鈥榟istory wars鈥, 鈥榳orld literature鈥 and 鈥榙ecolonisation鈥. Across the module, you will explore fictions of various genres from Africa, the Americas, Australia and other parts of the world, and you will consider the importance of literature to debates about race, law, identity, belonging, political and economic geography, and citizenship. -
ENGL2107 2027-28
Decolonising Modernity
Literary history is often told in epochs. In particular, it can be useful to understand the world in relation to some or other idea of 鈥渕odernity鈥: for example, English literary studies is often organised through conceptions of the early modern, the modern, and the post-modern. But many influential constructions of modernity assume and promote Eurocentric ideas of progress, development, and history. This module invites you to interrogate these ideas. The module begins with work that reveals the cultures of violence and inequity that are instituted by imperialist constructions of modernity and civilisation. You will then learn to work with debates that have been conducted through formulations of 鈥榩ostcolonial studies鈥, 鈥榮ubaltern studies鈥, 鈥榙iaspora studies鈥, 鈥榳orld systems鈥, 鈥榟istory wars鈥, 鈥榳orld literature鈥 and 鈥榙ecolonisation鈥. Across the module, you will explore fictions of various genres from Africa, the Americas, Australia and other parts of the world, and you will consider the importance of literature to debates about race, law, identity, belonging, political and economic geography, and citizenship. -
AICE6003 2029-30
Deep Learning Research
Deep learning has revolutionised numerous fields in recent years. We've witnessed improvements in everything from computer vision through speech analysis to natural language processing. This module focuses on the latest advances in deep learning and will allow you to start to understand, implement, and critically appraise recently published research, as well as give you some of the wider context of research in the field. As part of this module, you will have the opportunity to extend on the latest research, contributing with your own ideas, critical thinking, and experimental design skills.
Due to the active and effervescent nature of the field, deep learning almost equates to research. Our objective is to equip you with the knowledge and skills required to engage with research as it emerges -- to be able to distinguish high-quality work that will change the course of the field from simple buzz. In this process, we will teach you how to build your own scientifically sound experiments and how to identify contributions you can make that would be valuable for the deep learning community. -
AICE6003 2030-31
Deep Learning Research
Deep learning has revolutionised numerous fields in recent years. We've witnessed improvements in everything from computer vision through speech analysis to natural language processing. This module focuses on the latest advances in deep learning and will allow you to start to understand, implement, and critically appraise recently published research, as well as give you some of the wider context of research in the field. As part of this module, you will have the opportunity to extend on the latest research, contributing with your own ideas, critical thinking, and experimental design skills.
Due to the active and effervescent nature of the field, deep learning almost equates to research. Our objective is to equip you with the knowledge and skills required to engage with research as it emerges -- to be able to distinguish high-quality work that will change the course of the field from simple buzz. In this process, we will teach you how to build your own scientifically sound experiments and how to identify contributions you can make that would be valuable for the deep learning community. -
AICE6003 2027-28
Deep Learning Research
Deep learning has revolutionised numerous fields in recent years. We've witnessed improvements in everything from computer vision through speech analysis to natural language processing. This module focuses on the latest advances in deep learning and will allow you to start to understand, implement, and critically appraise recently published research, as well as give you some of the wider context of research in the field. As part of this module, you will have the opportunity to extend on the latest research, contributing with your own ideas, critical thinking, and experimental design skills.
Due to the active and effervescent nature of the field, deep learning almost equates to research. Our objective is to equip you with the knowledge and skills required to engage with research as it emerges -- to be able to distinguish high-quality work that will change the course of the field from simple buzz. In this process, we will teach you how to build your own scientifically sound experiments and how to identify contributions you can make that would be valuable for the deep learning community. -
AICE6003 2026-27
Deep Learning Research
Deep learning has revolutionised numerous fields in recent years. We've witnessed improvements in everything from computer vision through speech analysis to natural language processing. This module focuses on the latest advances in deep learning and will allow you to start to understand, implement, and critically appraise recently published research, as well as give you some of the wider context of research in the field. As part of this module, you will have the opportunity to extend on the latest research, contributing with your own ideas, critical thinking, and experimental design skills.
Due to the active and effervescent nature of the field, deep learning almost equates to research. Our objective is to equip you with the knowledge and skills required to engage with research as it emerges -- to be able to distinguish high-quality work that will change the course of the field from simple buzz. In this process, we will teach you how to build your own scientifically sound experiments and how to identify contributions you can make that would be valuable for the deep learning community. -
COMP6252 2027-28
Deep Learning Technologies
Deep learning has revolutionised numerous fields in recent years. We've witnessed improvements in everything from computer vision through speech analysis to natural language processing as a result of the advent of massively parallel compute coupled with large datasets. This module explores how deep learning can be applied to real world data by implementing models through combinations of pre-built building blocks. -
COMP6252 2026-27
Deep Learning Technologies
Deep learning has revolutionised numerous fields in recent years. We've witnessed improvements in everything from computer vision through speech analysis to natural language processing as a result of the advent of massively parallel compute coupled with large datasets. This module explores how deep learning can be applied to real world data by implementing models through combinations of pre-built building blocks. -
COMP6252 2028-29
Deep Learning Technologies
Deep learning has revolutionised numerous fields in recent years. We've witnessed improvements in everything from computer vision through speech analysis to natural language processing as a result of the advent of massively parallel compute coupled with large datasets. This module explores how deep learning can be applied to real world data by implementing models through combinations of pre-built building blocks.