English

This course explores American foreign policy at the broadest level of analysis – the level known as grand strategy. The course showcases the main theoretical perspectives that inform the study of grand strategy and applies them to historical and contemporary cases of American statecraft. In this connection, students assess the relevance of the U.S. experience for theorizing about power politics and the implications of alternative theories for thinking critically about American international behavior. Emphasis is placed on the debates and controversies that animate the study of grand strategy, as well as of the unique challenges posed by making foreign policy in the American political, economic, and cultural context.

Machine learning is concerned with algorithms that process relevant data and then perform some task. Often, performance of machine learning algorithms is measured statistically, and the algorithms themselves are heavily influenced by statistical ideas. For example, after observing several (x,y) pairs an algorithm may be able to predict with high accuracy the corresponding value of y for an unseen x. When the data is complex and/or high-dimensional, a number of statistical and algorithmic issues arise: a sufficiently rich class of statistical models must be used effectively and irrelevant data should be identified and then discarded. Students understand the statistical approach to analyzing data, and how it can be used to effectively perform tasks under appropriate assumptions. This enables students to formulate various real-life problems as statistical learning tasks and use common techniques to develop solutions.

This course will analyze media content in several different medium, such as photographs, newspaper articles, advertisements, tv shows, movies, new media, public relations, fake news and digital literacy. It helps develop an understanding of how this media content influences people in everyday life, social development and political economic changes. It defines Information Literacy are the skill set needed to locate and recognize quality information resources to help students utilize the information in a responsible and effective way and defines Media Literacy as a way of thinking about the media and a way of deconstructing and understanding media messages to gain more control over them. Other topics include Resource Literacy, Social-Structural Literacy, Research Literacy, and Publishing Literacy.

In this course, students study autism spectrum disorder, a neurodevelopmental condition, across all stages of the lifespan – from early childhood into old age. The course focuses on cognition, while contextualizing the condition at different stages of development. Students explore areas in childhood and adolescence, including memory, language, learning, the "self," mental health, and transgender issues. Students also examine adulthood topics including Bayesian theories of perception, maternal autism, memory, sensory, and emotional processing. The course finishes with addressing some of the consequences of ageing in autism.

In the period from roughly the late fifteenth to the mid-nineteenth century, developments took place that would form the basis of the world as we know it today. States took on recognizable forms, merchants looked for new markets within and outside Europe, and the Reformation, the Scientific Revolution and the Enlightenment resulted in new insights and world views. The Atlantic Revolutions and the Industrial Revolutions from the end of the 18th century would permanently change the world politically and economically. The (Early)modern History course focuses on three, often closely related, thematic areas: political, socio-economic, and cultural and religious developments. The course answers the following questions: how did the French Revolution change the political landscape of Europe? What was the role of Europeans in globalization? How did the Reformation and state formation become entwined?

This course provides a continuation of the study of medical statistics, with emphasis on more advanced topics in epidemiological methods and the design and analysis of clinical trials. Students learn how to model survival data using parametric regression models; to develop and validate a risk prediction model; to analyze clustered data using a regression model; to design and analyze a cross-over trial, cluster randomized trial, equivalence trial, and early phase trial; to understand the issues concerning interim analyses and missing data; and to carry out a meta-analysis.

This course examines quality of life through the study of leisure, life, and happiness in contemporary society. Students explore classical and contemporary theories, research findings, and everyday experiences to understand how leisure contributes to individual well-being and life satisfaction. While the primary focus is on personal meaning-making, the course also introduces a life-course perspective, encouraging students to consider how leisure, work, and happiness may change across different stages of life. Through lectures, discussions, presentations, and reflective assignments, students develop a deeper understanding of leisure as a key component of a meaningful and balanced life. Active participation and several outside assignments are required. 

Performance engineering is the area of computer science ensuring that computer systems (comprised of hardware as well as software) are responsive, scalable, and efficient.  The course introduces fundamental principles and techniques used in performance management of modern computer systems, either purpose-built applications or generic system (single-node as well as distributed). 

This course considers the ways in which humans grow, change and mature across various life stages. Students consider the behavioral, emotional, physical, and cognitive changes which occur during these developmental stages. This course offers students opportunities to explore core development milestones during childhood such as language, moral and gender development, and core psychological topics such as the formation of relationships and how people learn. The course also focuses on real-world application; providing opportunities to consider the environmental influences upon development and critical consideration of the extent to which theories are applicable in the educational context.

This course bridges feminist theory, legal studies, and political economy to provide a multidimensional understanding of how gender structures economic and legal systems. It complements existing offerings in political theory, law, and gender studies by integrating critical perspectives on care, welfare, and neoliberalism with emerging debates on digital capitalism and global governance. Drawing on feminist, queer, and postcolonial scholarship, it explores how gender is not merely shaped by legal and economic systems but is fundamentally constitutive of them. The syllabus is designed to be intellectually rigorous yet accessible to undergraduates from diverse disciplinary backgrounds, progressively introducing theoretical frameworks and applying them to concrete economic and policy issues. Indeed, the course investigates how care and reproductive labor sustain markets and states; how institutions of property, finance, and welfare define economic citizenship; and how global processes—including colonialism, migration, and development—reproduce gendered hierarchies. The course also addresses the gendered dynamics of digital capitalism, exploring how contemporary technological infrastructures and platform economies shape labor, value, and power. Through close reading of legal and theoretical texts, class discussions, and media materials, the course connects historical and contemporary debates on work, welfare, sexuality, and governance. It interrogates the ways legal regimes define economic citizenship, moral worth, and bodily autonomy, while also considering feminist strategies for resistance, redistribution, and transformation. By linking feminist thought to law and political economy, the course equips students with conceptual and analytical tools to critically engage with law as both a site of domination and potential social change.