This is the foundation course for students admitted to the Global Studies-Security and Justice track of Global Studies.

In this class student will learn to describe, analyze, and create aesthetic phenomena, think critically about the nature of art and artistry, become aware of how aesthetic experience underlies social life and can frame our politics, reflect on the historical, geographical, and cultural differences that shape aesthetic expressions and hierarchies, and respond to and take stock of the moral and ethical capacities of the arts.

Provides an in-depth exploration of probabilistic and statistical methods used to understand, quantify, and manage uncertainty. Learn foundational concepts in probability and statistics, simulation techniques, and modern approaches to parameter estimation, decision theory, and hypothesis testing. Topics include parametric and nonparametric methods, Bayesian and frequentist paradigms, and applications of uncertainty in real-world problems. 

The Startup class is a fourteen-week course-plus-simulation designed to provide students with not only the basic tools and vocabulary of new ventures, but also a sense of what it feels like to start, fund, and manage such a venture. The course, by way of in-class case discussions, mentored group work, and startup simulations introduces students to a broad range of issues faced by founders and funders of both for-profit and non-profit ventures.

Leadership and Public Policy foundational skills course.

A graduate-level introduction to the history, theory, and methods of the digital humanities, this course is required for the new grad certificate in DH. Students will gain an understanding of the origins of DH, the kinds of work done under that label, the opportunities to participate in DH research at UVa, the research insights offered by DH methods, and the applicability of those methods to the student's own research interests.

This integrated and interdisciplinary course provides foundational knowledge on the multifaceted aspects of both problems and solutions related to sustainability, and challenges participants to deepen their understanding of global sustainability issues through a real-world, collaborative Think Global/ Act Local project.

In this class students will learn to reflect upon and evaluate human conduct and character, consider the ethical components of individual and collective behaviors, and engage in the articulation of ethical questions and moral deliberation.

In this class, students will learn to critically reflect on one's own situation and perspective in relations to one's expanding knowledge of other human experiences, seeking to cultivate a framework for informed reflection on human diversity and social complexity while developing empathy as a foundation for democratic citizenship.

Provides healthcare domain knowledge, healthcare data understanding, and data science methodologies to solve problems. Understand data types, models, and sources, including electronic health record data; health outcomes, quality, risk, and safety data; and unstructured data, such as clinical text data; biomedical sensor data; and biomedical image data. Querying with SQL, data visualization with Tableau, and analysis and prediction with Python.