English

The topics for this course differ each term. In spring 2024, this course has a special focus on The Origin and Development of Political Psychology: From Plato to Martha Nussbaum. Political Philosophy is conceived as the application of philosophical investigation to politics and thus as a study of the contribution that philosophy may give to political practice. This implies both a clarification of the terms used in our everyday political vocabulary and an attempt at designing models of a just society. The course provides the following: a) notions on methodology in historical investigation; b) the ability to analytically read a text while at the same time situating it into the historical and linguistic context of the age; c) knowledge of the perennial tasks of political philosophy; d) an introduction to political realism. The course is devoted to the examination of the origin and development of political psychology. It starts with Plato's notion of the tripartite soul and arrives to the role of emotions in Martha Nussbaum's thought. The first part is devoted to a clarification of the notion of 'political philosophy' and to an account of the methodology in the history of political thought.

This course explores the materials in electronic devices used to emit light, transmit light, and detect light and shows you how these elements can be combined to create integrated systems for fibre optic communications, solar energy conversion, and displays.

This course enables students with no technical background to have a general understanding and a taste of hands-on exploration of Artificial Intelligence (AI) and Machine Learning (ML). The course covers the basic concepts, problems, approaches and applications of AI components and systems. It provides an introduction to various topics in AI systems and technologies, e.g., an overview of AI, data representation and visualization, basics of ML, ethical and legal issues with AI, etc. It discusses the applications of engineering principles to selected AI and ML problems, including image classification, machine translation, and voice cloning. It also explores the future possibilities and challenges of AI.

Students' objective in this course is to deliver a design group project. Each design group acts as a consultant civil engineering company for the preparation of outline designs sufficient for planning and budget estimating purposes. The project location is on the northeastern part of the Lake District, a region and national park in England that was impacted by Storm Desmond in December 2015. The report includes a work program, construction method statement, and health and safety risk assessment.

This course examines the core concepts of pharmacology and toxicology. Students will study the science behind the use of medicines, as well as cover topics on environmental and clinical toxicology.

This course examines a range of machine learning tools and techniques for analyzing data and automatically generating applications. The course will address tools for classification, regression, clustering and text mining, and techniques for preprocessing data and analyzing the results of machine learning tools. 

Through this course, students gain access to research-led lectures and the latest scholarship to properly understand how digital platforms work and the roles they play in society. Students apply this knowledge to case studies to understand how platforms are shaped and where citizens might intervene in their governance. Students engage in debates to think about how to critically engage with technological power and to mitigate the social harms of platforms.

This course offers a study of the basic and advanced guidelines in academia and the pharmaceutical sector on the selection of drug targets, the design of new drugs, and the procedures for real-life drug discovery settings.

This course introduces game theory and its useful applications. The course presents how to identify the common abuse of game theory and to avoid incorrect use of its terminology. The course covers basic concepts and techniques in game theory and applies these concepts and techniques to the analysis of different types of games. Topics include Nash equilibrium, sequential games, simultaneous games, sequential-simultaneous games, prisoners' dilemma, strategic moves, evolutionary games, collective action, uncertainty and information, and consolidation. 

In many projects, it is important for programmers to have fine control over low-level details of program execution, and to be able to assess the cost of a design decision on likely overall program performance. This course introduces students to a system programming language that gives programmers this kind of control, explores a range of standard data structures and algorithmic techniques, and shows how to apply them to frequently encountered problems.