English

The course covers the connection between international corporate taxation and sustainability within the frameworks of law, economics, and politics. The course topics include a range of relevant perspectives in an engaging narrative, including political challenges related to tax and sustainability (e.g. initiatives from governments and international organizations) as well as corporate challenges (e.g. how to align corporate strategies with sustainable strategies, and how to communicate tax behavior to interested parties). This is a digital, distance course consisting of a large number of video lectures, quizzes, and the writing of an individual paper.

Studying sustainable development today means recognizing the urgency of social and environmental problems facing current and future generations across the world. Students explore the relationship between human lives and the environment, debate what human "development" and "sustainability" mean, and discuss how to understand these complex and flexible concepts together. The first term focuses on understanding current and historical challenges for sustainable development, and the second term looks more closely at sustainable development programs and proposed solutions. 

This course teaches the foundational knowledge necessary to understand how modern AI systems work, with a particular focus on deep neural networks. It moves from first principles through to exploring core training algorithms that power today’s models. 

Students will construct deep networks, image classification models, and generative models such as autoencoders as well as consider how transformer architectures enable large language models such as ChatGPT.

This course explores the universe at the smallest distances and highest energies where quantum mechanics and special relativity collide. Through lectures from world-experts and hands on seminars, students will join the particle physicists from the Large Hadron Collider's ATLAS experiment in analyzing real proton collisions from the world’s largest machine - uncovering the secrets of the building blocks of the universe. The course uses coding notebooks to teach Python data analysis techniques used by professional particle physicists, progressing from the very basics, to rediscovering the Higgs boson, and culminating to an original analysis of real data. Along the way students develop computer coding, big data analysis and machine learning skills that will carry over to the real world.

This course gives students an overview of physical and chemical treatment systems for water and wastewater.

The course aims are to describe water and wastewater sources; explain the characteristics of water and wastewater (physical, chemical, and biological parameters); provide an overview of both national and international regulatory frameworks governing drinking water and wastewater management; discuss the fundamental principles of physical and chemical processes for water and wastewater treatment, and water reclamation; introduce water treatment processes including coagulation and flocculation, sedimentation, filtration, adsorption, disinfection, softening, and membrane filtration.

The course begins with an introduction to the basics of programming in Python, in particular understanding object-oriented programming and its importance to deep learning. The course quickly proceeds to an introduction to artificial intelligence, examining the fundamentals of supervised machine learning, including linear regression, logistic regression, neural networks, and gradient descent. In the second week, students explore image processing, investigating transformations, convolutional filters, and edge detection, before an introduction to convolutional neural networks and some prominent CNN architectures such as VGG and ResNet. In the final part of the course, students look at the core concepts of natural language processing, including sequence modeling, autoregressive models, and recurrent neural networks.

The course examines archaeology in its wider social and political context. The course begins with an examination of the inherently political manner in which archaeology has treated, and continues to treat, the past. This has consequences for the ways in which archaeology has been established across the world, fostering nationalism at the expense of other identities and promoting colonial and imperial ideologies. It also highlights the engagements that non-specialists can have with the past, largely separate from professional archaeology and its official means of communication, including museums. Hence different values are attached to objects, monuments and areas of land, archaeology and politics, tourism and the means by which archaeologists can attempt to communicate archaeology. This latter element of public engagement is one of the major focuses of the second part of the course, helping students to think about the strategies they could develop in their own work. 

In this course, students explore some of the most difficult questions about life and subject them to careful philosophical examination, including What is the meaning of life? Does anything really matter? Can I know anything with 100% certainty? Would it be good to live forever? What is happiness? Does God exist? Is time travel possible?

This course teaches how to manage companies responsibly, taking into consideration the national and international civil, mercantile, tax, intellectual property, labor, and human rights statutory framework.