English

This course focuses on how artificial intelligence (AI) can be used to understand human behavior and how psychological phenomena in people can be found in artificial intelligence. Central areas are the borderland between AI and psychology include AI and ethics; Abstract, biological, and deep neural networks; AI to analyze behavior and brain data; Psychological phenomena in artificial cognition; Natural Language Processing; and Simulating behavior using AI. The course emphasis understanding of how natural cognition can be understood with the help of artificial cognition and how psychological phenomena arise in artificial cognition. Application is made in neural networks, natural language processing, AI-generated images and how AI affects society. The course contains theoretical lectures, laboratory work, and a project work.

Taught in collaboration with academic staff and theatre practitioners at Shakespeare’s Globe Theatre, this course aims to take full advantage of the fact that we are able to study Shakespeare’s plays in the city in which they were written and first performed. Through seminars at King’s, and lectures, seminars, workshops and demonstrations at Shakespeare’s Globe, you will learn about the cultural, theatrical, political and social contexts in which plays were produced, and students will explore the extent to which Shakespeare’s plays were shaped by the environments in which he lived and worked. Focusing on the early to middle section of Shakespeare’s career, we will look at a spread of plays from different genres, such as 1 Henry IV, Julius Caesar, Othello, Twelfth Night and Macbeth. In doing so, students will engage with topics such as urban place and space, social status, ideas of history and memory, immigration, race and multiculturalism, gender identity and experience, and topicality, terrorism and state control. Students will also draw on one of the most important Elizabethan works about London, John Stow’s A Survey of London Written in the Year 1598, and the plays of Shakespeare’s contemporaries such as Chapman, Dekker, Heywood, Jonson, Marston and Munday. 

Knowledge seems to matter a great deal to us. We want to know the answers to various questions and are often willing to pay a high price to find out. And in evaluating other people's actions, we often care about what they knew and when they knew it. But why should we care so much about knowledge in particular? Is it important only because true belief is important? And why, for that matter, is true belief important? In this seminar we will examine some of the roles knowledge plays in our lives and evaluate a range of proposals attempting to explain its significance. Readings will be drawn primarily from contemporary analytic philosophy.

This course and its sequel, Econometrics 2, introduce modern econometric techniques. This course mainly focuses on classical regression analysis while Econometrics 2 discusses statistical causal inference. The statistical software R will be used occasionally in the course.  

Students who successfully complete the course will learn (i) the principles of regression analysis and (ii) how to implement regression analysis with R. 

This course introduces students to the basic concepts of immunology, how the immune system works to fight disease, how its dysfunction can cause disease, and how the immune system can harnessed to treat disease. 

Climate change is not a modern phenomenon, as Earth’s systems are dynamic and rarely stable over extended periods of time. Climate variability occurs across multiple spatial and temporal scales, but we generally lack long enough scientific or historical records to directly measure most long-term patterns of climate change. Palaeoceanography fills this void by providing evidence of past changes in ocean conditions including temperature, salinity, productivity, circulation, and ecology. These variables are typically reconstructed through analyses of the geochemistry, microfossil composition, and organic contents of ancient marine sediments that have either been exposed on land or collected through seafloor drilling. Palaeoceanography offers an opportunity to reconstruct past climate change across timescales, providing a broader context for studying modern climate change.

This course explores EU enlargement dynamics, focusing on the process, negotiation, and accession of candidate countries. It examines pre-accession processes, enlargement negotiations, and the reasons behind EU expansion from legal, economic, and political perspectives. The course compares past enlargement rounds and assesses their impact on EU institutions and policies, highlighting the evolving nature of enlargement dynamics. It introduces the scholarly debate on conditionality and the EU's approach to current candidates' membership aspirations, emphasizing the need to adapt the EU's institutional structure. Through a simulation exercise, students participate in EU negotiation simulations, discussing and negotiating specific policy domains based on EU acquis chapters. This approach fosters teamwork, critical thinking, and a deeper understanding of the negotiation process. The course also critically analyzes the principles and concepts underlying European enlargement policies, equipping students with comprehensive knowledge of enlargement negotiations, membership conditionality, and the interaction between candidate states and the EU.

The course introduces basic theory and algorithms of machine learning. Topics include: supervised learning setting; unsupervised learning setting; concentration of measure inequalities; analysis of generalization in classification; algorithms; assumptions behind the algorithms taught in the course, their implications, and common pitfalls; and correlation versus causality. The course assumes solid math and programming skills, including knowledge of linear algebra, calculus, probability theory, discrete mathematics, and programming. 

The course covers basic principles in developmental biology and molecular genetics with a special emphasis on developmental biology model systems in vertebrates and invertebrates. The most important processes in early embryo development, such as fertilization, cell division, the establishment of position information, polarity and asymmetries, and formation of body axes and gastrulation as preconditions for extremity development, regeneration and formation of the body's most important organs are included. Finally, there is a discussion about the mechanisms behind the self-renewal and differentiation of stem cells and the role of stem cells in the renewal of the body's tissues. The course also includes how developmental biology knowledge can be utilized in the establishment of animal models for studies of human disease mechanisms. 

This course focuses on important aspects of international financial management including the main characteristics of the international finance economics environment, the organization of foreign exchange markets, the role of various derivative instruments, and the origin and evolution of the current financial turmoil.