8588 modules
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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 “modernity”: 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 ‘postcolonial studies’, ‘subaltern studies’, ‘diaspora studies’, ‘world systems’, ‘history wars’, ‘world literature’ and ‘decolonisation’. 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 “modernity”: 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 ‘postcolonial studies’, ‘subaltern studies’, ‘diaspora studies’, ‘world systems’, ‘history wars’, ‘world literature’ and ‘decolonisation’. 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 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 2025-26
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. -
COMP6252 2029-30
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. -
AICE3005 2028-29
Deep Reinforcement Learning for Robotics
Unlocking the potential of AI requires autonomous systems that can independently learn to make good decisions. Deep reinforcement learning is a powerful framework for this, with particular relevance to robotics, enabling robots to autonomously acquire and refine complex skills through interactions with the world without manually programming the desired behaviour. This module will cover the principles and current advances of the field of deep reinforcement learning and its application to robotic skill learning. It begins by introducing the theoretical foundations of reinforcement learning and the role of deep neural networks as function approximators. The module then explores important methods and state-of-the-art approaches focused on learning to control robotic agents for game playing or performing physical tasks. This culminates in practical applications of deep reinforcement learning for key robotic control problems. -
SOES6008 2029-30
Deep Sea Ecology
This module examines the patterns of life in deep-sea environments & the processes that govern those patterns.