Critique models and adapt them to a variety of data sets. Gain a deeper understanding of core ML concepts. Build towards neural networks (latent index models, more complex linear models …
Understand Deep Learning covering neural networks, activation functions, and optimization algorithms. Gain experience with TensorFlow and PyTorch, mastering key techniques such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), …
What are the strengths and weaknesses of the major policy-making institutions, and how does the current system of American governance compare with that of other advanced societies? This class will …
Explores new models of database design: graph, vector, and ledger. These have become required infrastructure in service of social media (graph databases), Large Language Models (vector databases), and cryptocurrency (ledger …
Introduces the development of Brazilian culture from 1500 to the present. This course is taught in English and does not fulfill the language requirement.
Introduces complex interplay between technology, regulation, and data science and exposes regulatory realities confronting the field. Read and parse regulatory texts. Navigate the international technology regulatory landscape, identify key actors, …
This two-part program will pair students in Rwanda studying at the University of Global Health Equity with UVA students to investigate global health topics relevant to both countries. In groups …
This two semester course aims to prepare students for effective and culturally appropriate engagement in Global Health activities by providing a background in Global Health theory, key issues, and culturally …
Various topics offered in Global Studies. See department website for full course description and offerings.
Understanding how location, proximity, and connectivity define global challenges like environmental protection, managing migration, and fostering sustainable economic development is essential for the design of effective solutions. In this course, …