United Kingdom - England

This course provides an understanding of metabolic processes in eukaryotes and prokaryotes. It covers areas such as strategies for cellular regulation, fed and fasting state metabolism, exercise metabolism, fat metabolism, electron transport and ATP synthesis, photosynthesis, copper/iron/zinc homoestasis in health and disease, prokaryotic metabolism of inorganic compounds (such as iron, sulphur and arsenic) and how they are controlled.

This course seeks to engage with feminist global political economy and feminist security studies scholarship to offer students a more nuanced account of war and security markets.  

This course introduces students to astrophysical and cosmological concepts. Planets, stars, and galaxies will be covered in the course together with the tools that astronomers, astrophysicists, and cosmologists use to explore them. 

This course explores the relationship between collective and individual behavior, society, and technology. It is especially concerned with how technologies evolve in relation to organizational, collective, and individual behavior, and vice versa. Students evaluate how technologies deliver (and fail to deliver) profitable, effective and valuable products services processes and activities. The course explores in detail the relationship between society and technology, especially in terms of how and why technologies succeed and fail; the value that technologies deliver (and do not deliver); and the wider position of technology in society. Students examine also the relationship between individuals and technology, and how behavior influences how technologies are developed, and how technologies influence and shape behavior.

“Cancer” is among the most encountered terms in our daily lives, but few beyond the biomedical profession truly understand what cancer is. This course helps students understand this complex disease. The course starts from the era of the ancient Greeks, through the world wars and their role in advancing cancer treatment, to the most cutting-edge research ongoing today and what the future holds. Students also learn about important techniques involved in modern day research, including gene editing, cancer modelling, and computational biology. They also discuss key scientific publications in the field of cancer biology.  

The course introduces students to basic principles of artificial intelligence (AI) systems. By AI, we refer to machines (or computers) that mimic cognitive functions that humans associate with the human mind, such as learning and problem solving. The course takes a practical approach, explaining the main principles and methods used in the design of AI systems. The course provides an introduction to main principles of deep learning, covering topics of neural nets as universal approximators, design of neural network architectures, backpropagation and optimization methods for training neural networks, and some special deep neural network architectures commonly used for solving AI tasks such as image classification, sequence modelling, natural language processing and generative models. If time allows, this course also provides an introduction to reinforcement learning problem formulation. Students gain practical knowledge to learn and evaluate deep learning and reinforcement learning algorithms (if time allows) using Python and open-source software libraries.

This course explores foundational and methodological questions about psychology and cognitive science, exploiting the tools of philosophy to equip students to reflect critically on assumptions, concepts, and methods used. In the first half of the term, students apply this distinctive approach to five specific topics: change blindness and inattentional blindness; experimental evidence about conscious choice and free will; unconscious bias and implicit attitudes; the concept of mental disorder; social cognition, and mirror neurons. In the second half of the term, students investigate more general questions about aims, methods, and assumptions in psychology, focusing on these topics: the nature of psychological explanation and its relationship with neuroscience; the analogy between minds and computers; mental representation, the ‘Language of Thought’ and cognitive maps; and the use of neuroimaging to ascribe mental states.

This course teaches students about the concepts of sustainability and resilience, and the main implications for infrastructure. Students should have a quantitative and qualitative understanding of both present and future challenges that face critical infrastructures (waste, energy, transport, and water). The course develops understanding and skills to compare costs and benefits of different technologies, materials, and managerial approaches that are relevant to the sustainability and resilience of infrastructure. It enables students to understand how decisions about infrastructure systems are made under conditions of complexity and uncertainty. It also enables students to develop professional skills.

Government has, and continues to have, many ways of relating to businesses. This course takes a journey through them, tracking their historical changes and investigating how they shape our world today. Its particular focus is on how government ensures the provision of public services, whether through public or private sectors, or some combination of the two. What is the role of government today? How has this changed over recent decades? And what role does business play in contemporary society? In addressing these questions, the course focuses on the role of both public and private sectors in the management and delivery of services including health, education, transport and culture. It investigates the different ways such organizations coordinate their work and equips students to make critical decisions about whether services are best provided by hierarchical governments, businesses within markets, or in some other way.

A research project that assigns students to expert professors in their proposed research topic. The course takes the students' research capabilities to a more professional level. This can be most closely compared to what is called a supervised research project in the USA.