Principles of interactivity in application and dashboard development using R, Python, and JavaScript programming languages. Design visually appealing and user-friendly interfaces, develop interactive applications for data visualization, and build dynamic dashboards for effective data communication with end-users. Covers theoretical concepts and hands-on implementation to provide a comprehensive understanding of the full design process.

Explainable artificial intelligence (XAI) is a subfield of machine learning that provides transparency for complex models to connect the technical meaning to social interpretation. Explore interpretability, transparency, and black-box machine learning methods. Covers definitions, decision support, trust, and ethical considerations, and the latest advances in creating reliable and transparent AI 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), and Generative Adversarial Networks (GANs). Explore transfer learning, reinforcement learning, and natural language processing (NLP), along with industry applications and ethical considerations.

In this course, students gain experience applying global perspectives, as well as research methods and techniques, to one of several real-world issues. Team-taught, the course allows students to choose a path that includes a methodological foundation, a deep dive into a particular method, a chance to practice a useful skills related to Global Studies professions, and culminating in the applied research project.

LPPL 4225 is designed to foster three critical skillsets:  1) The expansion of your self-awareness to enhance your competence as a leader, 2) Learning ways to support and inspire the development of strengths in others, and 3) Combining these skills to improve the effectiveness of your student organizations at UVA by reflecting on the organizational and interpersonal dynamics of those groups.

This class provides a general overview of film production in Brazil since 1990. We will screen and discuss a variety of documentary and feature-length fiction films, paying special attention to their formal construction and respective portrayals of Brazilian society, particularly as they unfold in a context increasingly marked by globalization and neoliberalism.

This course examines the politics of federal budgeting and its role in economic policy making. Students will learn about the creation of the presidential budget, the politics of the Congressional budget process, tax policy, defense spending, social spending, fiscal federalism-the connection between federal and state governments-and the relationship between fiscal policy and the Federal Reserve's making of monetary policy.

Comprehensive exploration of the multifaceted aspects of data creation, emphasizing the symbiotic relationship between design and data. Students will gain insight into the intentional and unintentional mechanisms that contribute to data creation, including human input, technological processes, environmental factors, and systemic influences.

This class explores the intersection between how we perform elections and how we craft public policy. We investigate two broad questions (1) the effect of policy on elections -- how rules around voting, funding, and the organization of elections influence election outcomes and larger policy discourse, and (2) the effect of elections on policy -- how elections shape elite motivations and citizen expectations around the development and passage of policy.

For advanced students with experience in writing literary nonfiction. Involves workshop of student work, craft discussion, and relevant reading. May be repeated with different instructor. For instructions on how to apply to this class, see creativewriting.virginia.edu/ugrad.