English

This course uses the framing concept of "metamorphosis" to explore the ways in which late medieval poets creatively reworked and re-imagined classical stories dealing with change, loss, and violence, while working out new modes of poetic representation and form. Many of these stories were taken from the works of that most popular of Roman poets in the Middle Ages, Ovid (predominantly from the Metamorphoses). Engaging with these narratives allowed medieval authors to confront and explore questions of transformation and change in language and forms that were themselves often innovative and experimental. It also required them to think about how to engage with the writings of a pagan poet within their own, Christian context. The course introduces students to selected stories from Ovid’s Metamorphoses, and to reworkings of them by late medieval authors such as John Gower, Geoffrey Chaucer, John Lydgate and Robert Henryson.

This course explores the mutually interacting dynamics between the technical and political dimensions of nuclear technology — particularly nuclear weapons, nuclear power, and the nuclear fuel cycle — and how they have evolved within various national and international historical frameworks. Of particular interest is the question of how much the technical possibilities constrain political choices, and how political choices enable or disable various technical possibilities, and the degree to which the technical and political worlds are “co-produced” simultaneously. This course draws upon and features perspectives from the history of nuclear weapons, international relations, and science and technology studies. Each session features a mixture of discussion and lecture.

This course provides students with analytical frameworks to interpret and analyze food consumption behavior and characteristics from an economic perspective. The course is divided into two main parts. The first part covers fundamental economic theories related to consumer choice in the context of food and agricultural products. The second part focuses on analyzing key issues surrounding food consumption using both theoretical and empirical methodologies.  

The course focuses on the following topics and approaches: Demand theory; Characteristics of the global food market; Consumer choice theory from the perspective of utility maximization; Key issues in food consumption: information asymmetry, food safety, food labeling systems, and food assistance policies for low-income populations; Analytical methods in food consumption: household production functions and hedonic pricing models. 

Prerequisites: Students should have a basic understanding of microeconomic theories related to demand and market structure.

This course focuses on contemporary global health issues, with emphasis placed on contextualizing global, national, and subnational health disparities. Students study how health, the environment, and sustainable development are interrelated and work to improve our understanding of both policy and practice. Therefore, students are introduced to important actors and their stated goals. Students examine cases from low- and middle-income countries, as well as from high-income countries. The course takes an interdisciplinary approach, using various perspectives including sociology, bioethics, epidemiology, anthropology, clinical medicine, and political science. 

Topics covered in this course include writing and debugging software for hardware, working with microcontrollers, sensors, motors, key theoretical concepts for robotic systems, the scientific method applied to robotic systems, and scientific reporting and writing.

This course develops students' understanding of the fundamental principles needed to design drinking water supply and treatment works, wastewater collection and treatment systems, and their ability to develop waste and resource management strategies. 

This course examines theoretical approaches, empirical methods and findings in second language acquisition research. Topics include features of language learners and their learning processes (e.g., age, crosslinguistic influences), individual influences on language development (e.g., motivation, aptitude) and social dimensions (e.g., identity, community). 

This course introduces a variety of basic principles, techniques, and modern advances in text mining. Topics to be covered include basic natural language processing techniques, text representation, text classification, feature selection, text clustering and topic models, word embedding, deep neural networks and introduction to (large) language models. During the course, students actively learn how to apply text mining methods to data analysis and how to use them together with natural language processing and machine learning techniques on real data problems. The course has a strong practical focus: students gain hands-on experience in Python by applying the methods to real data during the course and interpreting the results. The course provides an understanding of the principles, problems, techniques, and solutions associated with text mining and to enable them to gain knowledge of how recent advances in text mining relate to innovative approaches to organizing, characterizing, finding and exploiting large amounts of textual information in the search for new knowledge. Assumed knowledge includes basic knowledge/motivation in programming and data science.

This course provides an opportunity for students to generate a strategic international market entry plan, considering the company’s characteristics and market conditions. Prior knowledge is required of international market and country risk assessment. 

The course covers international expansion strategies; the international business ecosystem, and systems thinking for business. 

This course examines the composition of the cultural heritage of Mexico drawing from the material characteristics of the objects and sites to distinguish between tangible heritage and cultural practices that permit the identification of intangible heritage.