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This module critically explores the profound and complex ways digital technologies, data, and algorithms are framing, shaping, and sometimes distorting our understanding of the past. Moving beyond the simplistic notion of technology as a neutral tool, we will examine how digital platforms and practices actively mediate our relationship with history and culture, creating both radical new opportunities and significant ethical dilemmas. The course investigates how digital environments influence our perception of the past, focusing on cultural visibility, critical display, and imaginative reconstruction across multiple forms of media. We will pay close attention to the inherent imbalance of power and space in digital representations, from the 'Instagramable' past and digital archives to moving image collections and cinematic reconstructions.

We will cover a diverse range of cultural artifacts and sources, including literature, manuscripts, linguistic data, archaeological sites, material culture, and philosophical texts, alongside increasingly important of interactive media from both non-Western and Western traditions.

No technical or theoretical knowledge is required to take this module. It is open to all, whether you want to develop an approach to thinking about the intersections of digital and cultural heritage, or you want to work with digital methods and critical frameworks to apply justice-led thinking to your analysis of the past.

In this second-year module on digital health principles, students will build on their Level 4 introductory biomedical knowledge, understanding of digital systems, and computational skills. Through this module, they will learn essential digital health principles, including technologies, processes, and theories related to the data science pipeline for health. This involves examining digital forms of health data, the technology and processes for data generation, methods for processing and analysis (including statistics and visualisation), and the integration of digital data into clinical decision-making. These principles and skills are crucial for biomedical engineering graduates specialising in either Digital Health or Artificial Intelligence.

In this second-year module on digital health principles, students will build on their Level 4 introductory biomedical knowledge, understanding of digital systems, and computational skills. Through this module, they will learn essential digital health principles, including technologies, processes, and theories related to the data science pipeline for health. This involves examining digital forms of health data, the technology and processes for data generation, methods for processing and analysis (including statistics and visualisation), and the integration of digital data into clinical decision-making. These principles and skills are crucial for biomedical engineering graduates specialising in either Digital Health or Artificial Intelligence.

The Digital Humanities project enables students to engage with a traditional dissertation or a project responding to an industry problem using humanities data science techniques. Students will be guided by a personal supervisor.

The Digital Humanities project enables students to engage with a traditional dissertation or a project responding to an industry problem using humanities data science techniques. Students will be guided by a personal supervisor.

This module aims to provide a coherent introduction to digital VLSI design in CMOS, and to give students a broad understanding of the main principles required for system-on-chip design. Advanced techniques such as timing analysis and asynchronous design will also be introduced. In addition, the module extensively covers hardware architectures and timing behaviours of fundamental computer arithmetic circuits.

This module aims to provide a coherent introduction to digital VLSI design in CMOS, and to give students a broad understanding of the main principles required for system-on-chip design. Advanced techniques such as timing analysis and asynchronous design will also be introduced. In addition, the module extensively covers hardware architectures and timing behaviours of fundamental computer arithmetic circuits.

This module aims to provide a coherent introduction to digital VLSI design in CMOS, and to give students a broad understanding of the main principles required for system-on-chip design. Advanced techniques such as timing analysis and asynchronous design will also be introduced. In addition, the module extensively covers hardware architectures and timing behaviours of fundamental computer arithmetic circuits.

This module aims to provide a coherent introduction to digital VLSI design in CMOS, and to give students a broad understanding of the main principles required for system-on-chip design. Advanced techniques such as timing analysis and asynchronous design will also be introduced. In addition, the module extensively covers hardware architectures and timing behaviours of fundamental computer arithmetic circuits.

This module explores the relationship between digital culture and contemporary fiction. It gives you the opportunity to critically examine how the digital world in which you may, or may not, interact with everyday appears in both online and offline literary culture. We will focus on how contemporary fictional forms shape the understanding and perception of digital culture and, in turn, how digital culture influences fiction. Fictional forms to be considered include the novel, interactive web comics, narrative games, film and television episodes. For your assignments, you will have the option of creating a digital output.