English

This course offers students the opportunity to critically analyze contemporary societal issues in depth, with reference to current psychological and neuroscientific theory and evidence. It brings together topics in the related fields of political psychology, media psychology, and social cognition. Familiarity with major theories, perspectives, and methods in Psychology is assumed, along with competency in psychological statistics (e.g., Psychology as major or substantive subject for visiting exchange program students.) 

The course covers how solar cells and photovoltaic systems technology work in different applications, especially when integrated into the built environment. In developing countries where many live outside the electric grid, standalone PV systems are also of great interest. The ability to design and optimize the performance of PV systems through computer simulations is an important part of the course. The course covers: energy knowledge and the problems connected to the use of energy; radiation physics, the annual irradiance distribution and the climatic conditions for using solar energy in Sweden; calculation of solar angels and the irradiance on different surfaces; the PN-junction and Solar cell physics and construction and function of a PV-module; function and performance of the components in the PV-system; batteries, power point tracker, DC-AC inverter, charge regulator; system design of standalone and grid connected systems; building integration of PV-system; hand calculation of economic profitability of PV-systems; calculations of climate impact of solar cells in carbon dioxide emissions; use of simulation programs; laborations and computer simulations; and studievisits to PV installations.  Assumed prior knowledge: Basic courses in electricity and electronics. Experience from the use of calculation program like Matlab and Excel.

This course examines the theory and practice of machine learning, including conceptual, computational, mathematical and statistical frameworks. Topics include: classification, regression, optimization, neural networks, deep learning, unsupervised learning, semi-supervised learning, clustering, dimensionality reduction and generative models. The implementation of machine learning techniques, experimentation and practical application are a central theme of the course.

This course introduces students to the study of comparative literature through plays written in the 20th and 21st century from France, Germany, Iran, Italy, Russia, Spain, the UK, and the USA. All texts are read in English translation. The course introduces students to a representative and canonical range of fictional works, with focus on one literary genre - drama - and one over-arching theme. The theme is currently "Staging the Political," but may change depending on staff availability. 

This course provides key legal skills necessary to enable compliant, effective and sustainable public procurement contracting. The course engages with different policy objectives for the public procurement life cycle including contracting specifications, evaluation criteria, conflicts of interest and dispute settlement. This course includes two negotiating exercises addressing procurement contracts and procurement agreements to provide students with the skills to communicate and understand the legal parameters as well as the different trade-offs involved.

This course consists of six focused seminars with an accompanying discussion/workshop. Each workshop focuses on one of the SCMMS (School of Cardiovascular and Metabolic Medicine & Sciences) research focus. Each formal lecture is given by academics in the school who review some of their work including clinical problem, research background, hypothesis and aims, methodology, outcomes, and application. These are not high level conference lectures but firmly set in level 5 level of understanding.

The course covers core areas of biomolecular sciences, in particular the genetic, molecular, and cellular processes that underpin biological systems. The course equips students with a general knowledge and understanding of the fundamental concepts that form the basis of these subject areas, revealing the complexity of biological systems, aspects of the molecular basis of life, and how molecular mechanisms are regulated in healthy organisms but may fail in disease. The thematic areas of the course are genetics, environmental perception, developmental biology and energetics, enzymes and proteins. They cover topics as diverse as the control of genetic information, the use of model organisms, the control of cell shape, cell division and movement, organogenesis and the development of drugs. The course also teaches basic experimental approaches and specific laboratory skills. 

There are several languages for programming quantum protocols. Each has its own strengths and weaknesses. This course surveys current platforms (OpenQAsm, Qiskit, Q#, Quipper, Quantomatic, and PyZX) and analyzes their respective features semantically. The theoretical analysis uses category theory, a powerful mathematical tool in logic and informatics, that has influenced the design of many modern programming languages. It enables a powerful graphical calculus that lets you draw pictures instead of writing algebraic expressions. This technique is visually extremely insightful, yet completely rigorous. For example, correctness of protocols often comes down to whether a picture is connected or disconnected, whether there is information flow from one end to another. In a practical way, this course investigates the conceptual reasons why quantum protocols and quantum computing work, rather than their algorithmic and complexity-theoretic aspects.

Western philosophy, although often concerned with practical questions such as how one ought to live, almost invariably restricts itself to theoretical methods of enquiry. This course examines other philosophical traditions, such as Zen Buddhism, that instead give great prominence to practical methods in the pursuit of their enquiries, most notably, breathing techniques and various forms of meditation. The course focuses on key philosophical issues raised by the adoption of non-theoretical modes of enquiry, including epistemological questions such as the justificatory status of non-alethic modes of knowledge-acquisition (e.g. meditation), and questions in the philosophy of mind concerning the conception of the Self developed and disclosed through meditation. The course also discusses ethical questions raised by a philosophical practice that appears to privilege individual attainment over socially shared commitments.

In this course, students who are already familiar with the key theoretical foundations of artificial intelligence and machine learning dive deeper into the exciting capabilities of this area of research and its applications. The course begins with computer vision algorithms for classification, recognition, detection, and their implementation in deep learning libraries, before exploring autoencoders and variational autoencoders, and gaining insights into the training and application of generative adversarial networks. It then proceeds to an in-depth examination of diffusion models, including score-based diffusion models, latent diffusion models, and Stable Diffusion. The final part of the course explores even more advanced topics, including the representation of 3D objects, vision transformers, video classification, and text to image generation.